id	sid	tid	token	lemma	pos
bracis-19092	1	1	speech2phone	speech2phone	NOUN
bracis-19092	1	2	:	:	PUNCT
bracis-19092	1	3	a	a	DET
bracis-19092	1	4	novel	novel	ADJ
bracis-19092	1	5	and	and	CCONJ
bracis-19092	1	6	efficient	efficient	ADJ
bracis-19092	1	7	method	method	NOUN
bracis-19092	1	8	for	for	ADP
bracis-19092	1	9	training	training	NOUN
bracis-19092	1	10	speaker	speaker	NOUN
bracis-19092	1	11	recognition	recognition	NOUN
bracis-19092	1	12	models	model	NOUN
bracis-19092	1	13	|	|	ADV
bracis-19092	1	14	springer	springer	NOUN
bracis-19092	1	15	nature	nature	NOUN
bracis-19092	1	16	link	link	PROPN
bracis-19092	1	17	(	(	PUNCT
bracis-19092	1	18	formerly	formerly	ADV
bracis-19092	1	19	springerlink	springerlink	NOUN
bracis-19092	1	20	)	)	PUNCT
bracis-19092	1	21	skip	skip	VERB
bracis-19092	1	22	to	to	ADP
bracis-19092	1	23	main	main	ADJ
bracis-19092	1	24	content	content	NOUN
bracis-19092	1	25	advertisement	advertisement	NOUN
bracis-19092	1	26	log	log	NOUN
bracis-19092	1	27	in	in	ADP
bracis-19092	1	28	menu	menu	NOUN
bracis-19092	1	29	find	find	VERB
bracis-19092	1	30	a	a	DET
bracis-19092	1	31	journal	journal	NOUN
bracis-19092	1	32	publish	publish	VERB
bracis-19092	1	33	with	with	ADP
bracis-19092	1	34	us	we	PRON
bracis-19092	1	35	track	track	VERB
bracis-19092	1	36	your	your	PRON
bracis-19092	1	37	research	research	NOUN
bracis-19092	1	38	search	search	NOUN
bracis-19092	1	39	cart	cart	NOUN
bracis-19092	1	40	home	home	NOUN
bracis-19092	1	41	intelligent	intelligent	ADJ
bracis-19092	1	42	systems	system	NOUN
bracis-19092	1	43	conference	conference	NOUN
bracis-19092	1	44	paper	paper	NOUN
bracis-19092	1	45	speech2phone	speech2phone	NOUN
bracis-19092	1	46	:	:	PUNCT
bracis-19092	1	47	a	a	DET
bracis-19092	1	48	novel	novel	ADJ
bracis-19092	1	49	and	and	CCONJ
bracis-19092	1	50	efficient	efficient	ADJ
bracis-19092	1	51	method	method	NOUN
bracis-19092	1	52	for	for	ADP
bracis-19092	1	53	training	training	NOUN
bracis-19092	1	54	speaker	speaker	NOUN
bracis-19092	1	55	recognition	recognition	NOUN
bracis-19092	1	56	models	model	NOUN
bracis-19092	1	57	conference	conference	NOUN
bracis-19092	1	58	paper	paper	NOUN
bracis-19092	1	59	first	first	ADV
bracis-19092	1	60	online	online	ADV
bracis-19092	1	61	:	:	PUNCT
bracis-19092	1	62	28	28	NUM
bracis-19092	1	63	november	november	NOUN
bracis-19092	1	64	2021	2021	NUM
bracis-19092	1	65	pp	pp	PRON
bracis-19092	1	66	572–585	572–585	NUM
bracis-19092	1	67	cite	cite	VERB
bracis-19092	1	68	this	this	DET
bracis-19092	1	69	conference	conference	NOUN
bracis-19092	1	70	paper	paper	NOUN
bracis-19092	1	71	access	access	NOUN
bracis-19092	1	72	provided	provide	VERB
bracis-19092	1	73	by	by	ADP
bracis-19092	1	74	university	university	PROPN
bracis-19092	1	75	of	of	ADP
bracis-19092	1	76	notre	notre	PROPN
bracis-19092	1	77	dame	dame	PROPN
bracis-19092	1	78	hesburgh	hesburgh	PROPN
bracis-19092	1	79	library	library	PROPN
bracis-19092	1	80	download	download	PROPN
bracis-19092	1	81	book	book	NOUN
bracis-19092	1	82	pdf	pdf	PROPN
bracis-19092	1	83	download	download	NOUN
bracis-19092	1	84	book	book	NOUN
bracis-19092	1	85	epub	epub	PROPN
bracis-19092	1	86	intelligent	intelligent	ADJ
bracis-19092	1	87	systems	system	NOUN
bracis-19092	1	88	(	(	PUNCT
bracis-19092	1	89	bracis	bracis	NOUN
bracis-19092	1	90	2021	2021	NUM
bracis-19092	1	91	)	)	PUNCT
bracis-19092	2	1	speech2phone	speech2phone	NOUN
bracis-19092	2	2	:	:	PUNCT
bracis-19092	2	3	a	a	DET
bracis-19092	2	4	novel	novel	ADJ
bracis-19092	2	5	and	and	CCONJ
bracis-19092	2	6	efficient	efficient	ADJ
bracis-19092	2	7	method	method	NOUN
bracis-19092	2	8	for	for	ADP
bracis-19092	2	9	training	training	NOUN
bracis-19092	2	10	speaker	speaker	NOUN
bracis-19092	2	11	recognition	recognition	NOUN
bracis-19092	2	12	models	model	NOUN
bracis-19092	2	13	download	download	VERB
bracis-19092	2	14	book	book	NOUN
bracis-19092	2	15	pdf	pdf	PROPN
bracis-19092	2	16	download	download	NOUN
bracis-19092	2	17	book	book	PROPN
bracis-19092	2	18	epub	epub	PROPN
bracis-19092	2	19	edresson	edresson	PROPN
bracis-19092	2	20	casanova	casanova	PROPN
bracis-19092	2	21	  	  	SPACE
bracis-19092	2	22	orcid	orcid	NOUN
bracis-19092	2	23	:	:	PUNCT
bracis-19092	2	24	orcid.org/0000-0003-0160-717310	orcid.org/0000-0003-0160-717310	ADJ
bracis-19092	2	25	,	,	PUNCT
bracis-19092	2	26	arnaldo	arnaldo	PROPN
bracis-19092	2	27	candido	candido	PROPN
bracis-19092	2	28	junior	junior	PROPN
bracis-19092	2	29	  	  	SPACE
bracis-19092	2	30	orcid	orcid	NOUN
bracis-19092	2	31	:	:	PUNCT
bracis-19092	2	32	orcid.org/0000-0002-5647-089111	orcid.org/0000-0002-5647-089111	PROPN
bracis-19092	2	33	,	,	PUNCT
bracis-19092	2	34	christopher	christopher	PROPN
bracis-19092	2	35	shulby	shulby	PROPN
bracis-19092	2	36	  	  	SPACE
bracis-19092	2	37	orcid	orcid	PROPN
bracis-19092	2	38	:	:	PUNCT
bracis-19092	2	39	orcid.org/0000-0001-9637-965712	orcid.org/0000-0001-9637-965712	ADJ
bracis-19092	2	40	,	,	PUNCT
bracis-19092	2	41	frederico	frederico	PROPN
bracis-19092	2	42	santos	santos	PROPN
bracis-19092	2	43	de	de	PROPN
bracis-19092	2	44	oliveira	oliveira	PROPN
bracis-19092	2	45	  	  	SPACE
bracis-19092	2	46	orcid	orcid	PROPN
bracis-19092	2	47	:	:	PUNCT
bracis-19092	2	48	orcid.org/0000-0002-5885-674713	orcid.org/0000-0002-5885-674713	NOUN
bracis-19092	2	49	,	,	PUNCT
bracis-19092	2	50	lucas	lucas	PROPN
bracis-19092	2	51	rafael	rafael	PROPN
bracis-19092	2	52	stefanel	stefanel	PROPN
bracis-19092	2	53	gris	gris	PROPN
bracis-19092	2	54	  	  	SPACE
bracis-19092	2	55	orcid	orcid	NOUN
bracis-19092	2	56	:	:	PUNCT
bracis-19092	2	57	orcid.org/0000-0002-2099-500411	orcid.org/0000-0002-2099-500411	NOUN
bracis-19092	2	58	,	,	PUNCT
bracis-19092	2	59	hamilton	hamilton	PROPN
bracis-19092	2	60	pereira	pereira	PROPN
bracis-19092	2	61	da	da	PROPN
bracis-19092	2	62	silva	silva	PROPN
bracis-19092	2	63	  	  	SPACE
bracis-19092	2	64	orcid	orcid	NOUN
bracis-19092	2	65	:	:	PUNCT
bracis-19092	2	66	orcid.org/0000-0001-8709-876511	orcid.org/0000-0001-8709-876511	NOUN
bracis-19092	2	67	,	,	PUNCT
bracis-19092	2	68	sandra	sandra	PROPN
bracis-19092	2	69	maria	maria	PROPN
bracis-19092	2	70	aluísio	aluísio	PROPN
bracis-19092	2	71	  	  	SPACE
bracis-19092	2	72	orcid	orcid	PROPN
bracis-19092	2	73	:	:	PUNCT
bracis-19092	2	74	orcid.org/0000-0001-5108-263010	orcid.org/0000-0001-5108-263010	PROPN
bracis-19092	2	75	&	&	CCONJ
bracis-19092	2	76	…	…	PUNCT
bracis-19092	2	77	moacir	moacir	PROPN
bracis-19092	2	78	antonelli	antonelli	PROPN
bracis-19092	2	79	ponti	ponti	PROPN
bracis-19092	2	80	  	  	SPACE
bracis-19092	2	81	orcid	orcid	NOUN
bracis-19092	2	82	:	:	PUNCT
bracis-19092	2	83	orcid.org/0000-0003-2059-946310	orcid.org/0000-0003-2059-946310	ADJ
bracis-19092	2	84	  	  	SPACE
bracis-19092	2	85	show	show	VERB
bracis-19092	2	86	authors	author	NOUN
bracis-19092	2	87	part	part	NOUN
bracis-19092	2	88	of	of	ADP
bracis-19092	2	89	the	the	DET
bracis-19092	2	90	book	book	NOUN
bracis-19092	2	91	series	series	NOUN
bracis-19092	2	92	:	:	PUNCT
bracis-19092	2	93	lecture	lecture	NOUN
bracis-19092	2	94	notes	note	NOUN
bracis-19092	2	95	in	in	ADP
bracis-19092	2	96	computer	computer	NOUN
bracis-19092	2	97	science	science	NOUN
bracis-19092	2	98	(	(	PUNCT
bracis-19092	2	99	(	(	PUNCT
bracis-19092	2	100	lnai	lnai	ADJ
bracis-19092	2	101	,	,	PUNCT
bracis-19092	2	102	volume	volume	NOUN
bracis-19092	2	103	13074	13074	NUM
bracis-19092	2	104	)	)	PUNCT
bracis-19092	2	105	)	)	PUNCT
bracis-19092	2	106	included	include	VERB
bracis-19092	2	107	in	in	ADP
bracis-19092	2	108	the	the	DET
bracis-19092	2	109	following	follow	VERB
bracis-19092	2	110	conference	conference	NOUN
bracis-19092	2	111	series	series	NOUN
bracis-19092	2	112	:	:	PUNCT
bracis-19092	2	113	brazilian	brazilian	ADJ
bracis-19092	2	114	conference	conference	NOUN
bracis-19092	2	115	on	on	ADP
bracis-19092	2	116	intelligent	intelligent	ADJ
bracis-19092	2	117	systems	system	NOUN
bracis-19092	2	118	1234	1234	NUM
bracis-19092	2	119	accesses	access	NOUN
bracis-19092	2	120	1	1	NUM
bracis-19092	2	121	citation	citation	NOUN
bracis-19092	2	122	abstract	abstract	NOUN
bracis-19092	2	123	in	in	ADP
bracis-19092	2	124	this	this	DET
bracis-19092	2	125	paper	paper	NOUN
bracis-19092	2	126	we	we	PRON
bracis-19092	2	127	present	present	VERB
bracis-19092	2	128	an	an	DET
bracis-19092	2	129	efficient	efficient	ADJ
bracis-19092	2	130	method	method	NOUN
bracis-19092	2	131	for	for	ADP
bracis-19092	2	132	training	training	NOUN
bracis-19092	2	133	models	model	NOUN
bracis-19092	2	134	for	for	ADP
bracis-19092	2	135	speaker	speaker	NOUN
bracis-19092	2	136	recognition	recognition	NOUN
bracis-19092	2	137	using	use	VERB
bracis-19092	2	138	small	small	ADJ
bracis-19092	2	139	or	or	CCONJ
bracis-19092	2	140	under	under	ADV
bracis-19092	2	141	-	-	PUNCT
bracis-19092	2	142	resourced	resource	VERB
bracis-19092	2	143	datasets	dataset	NOUN
bracis-19092	2	144	.	.	PUNCT
bracis-19092	3	1	this	this	DET
bracis-19092	3	2	method	method	NOUN
bracis-19092	3	3	requires	require	VERB
bracis-19092	3	4	less	less	ADJ
bracis-19092	3	5	data	datum	NOUN
bracis-19092	3	6	than	than	ADP
bracis-19092	3	7	other	other	ADJ
bracis-19092	3	8	sota	sota	NOUN
bracis-19092	3	9	(	(	PUNCT
bracis-19092	3	10	state	state	NOUN
bracis-19092	3	11	-	-	PUNCT
bracis-19092	3	12	of	of	ADP
bracis-19092	3	13	-	-	PUNCT
bracis-19092	3	14	the	the	DET
bracis-19092	3	15	-	-	PUNCT
bracis-19092	3	16	art	art	NOUN
bracis-19092	3	17	)	)	PUNCT
bracis-19092	3	18	methods	method	NOUN
bracis-19092	3	19	,	,	PUNCT
bracis-19092	3	20	e.g.	e.g.	ADV
bracis-19092	3	21	the	the	DET
bracis-19092	3	22	angular	angular	ADJ
bracis-19092	3	23	prototypical	prototypical	ADJ
bracis-19092	3	24	and	and	CCONJ
bracis-19092	3	25	ge2e	ge2e	NOUN
bracis-19092	3	26	loss	loss	NOUN
bracis-19092	3	27	functions	function	NOUN
bracis-19092	3	28	,	,	PUNCT
bracis-19092	3	29	while	while	SCONJ
bracis-19092	3	30	achieving	achieve	VERB
bracis-19092	3	31	similar	similar	ADJ
bracis-19092	3	32	results	result	NOUN
bracis-19092	3	33	to	to	ADP
bracis-19092	3	34	those	those	DET
bracis-19092	3	35	methods	method	NOUN
bracis-19092	3	36	.	.	PUNCT
bracis-19092	4	1	this	this	PRON
bracis-19092	4	2	is	be	AUX
bracis-19092	4	3	done	do	VERB
bracis-19092	4	4	using	use	VERB
bracis-19092	4	5	the	the	DET
bracis-19092	4	6	knowledge	knowledge	NOUN
bracis-19092	4	7	of	of	ADP
bracis-19092	4	8	the	the	DET
bracis-19092	4	9	reconstruction	reconstruction	NOUN
bracis-19092	4	10	of	of	ADP
bracis-19092	4	11	a	a	DET
bracis-19092	4	12	phoneme	phoneme	NOUN
bracis-19092	4	13	in	in	ADP
bracis-19092	4	14	the	the	DET
bracis-19092	4	15	speaker	speaker	NOUN
bracis-19092	4	16	’s	’s	PART
bracis-19092	4	17	voice	voice	NOUN
bracis-19092	4	18	.	.	PUNCT
bracis-19092	5	1	for	for	ADP
bracis-19092	5	2	this	this	DET
bracis-19092	5	3	purpose	purpose	NOUN
bracis-19092	5	4	,	,	PUNCT
bracis-19092	5	5	a	a	DET
bracis-19092	5	6	new	new	ADJ
bracis-19092	5	7	dataset	dataset	NOUN
bracis-19092	5	8	was	be	AUX
bracis-19092	5	9	built	build	VERB
bracis-19092	5	10	,	,	PUNCT
bracis-19092	5	11	composed	compose	VERB
bracis-19092	5	12	of	of	ADP
bracis-19092	5	13	40	40	NUM
bracis-19092	5	14	male	male	ADJ
bracis-19092	5	15	speakers	speaker	NOUN
bracis-19092	5	16	,	,	PUNCT
bracis-19092	5	17	who	who	PRON
bracis-19092	5	18	read	read	VERB
bracis-19092	5	19	sentences	sentence	NOUN
bracis-19092	5	20	in	in	ADP
bracis-19092	5	21	portuguese	portuguese	NOUN
bracis-19092	5	22	,	,	PUNCT
bracis-19092	5	23	totaling	total	VERB
bracis-19092	5	24	approximately	approximately	ADV
bracis-19092	5	25	3h	3h	NUM
bracis-19092	5	26	.	.	PUNCT
bracis-19092	6	1	we	we	PRON
bracis-19092	6	2	compare	compare	VERB
bracis-19092	6	3	the	the	DET
bracis-19092	6	4	three	three	NUM
bracis-19092	6	5	best	good	ADJ
bracis-19092	6	6	architectures	architecture	NOUN
bracis-19092	6	7	trained	train	VERB
bracis-19092	6	8	using	use	VERB
bracis-19092	6	9	our	our	PRON
bracis-19092	6	10	method	method	NOUN
bracis-19092	6	11	to	to	PART
bracis-19092	6	12	select	select	VERB
bracis-19092	6	13	the	the	DET
bracis-19092	6	14	best	good	ADJ
bracis-19092	6	15	one	one	NUM
bracis-19092	6	16	,	,	PUNCT
bracis-19092	6	17	which	which	PRON
bracis-19092	6	18	is	be	AUX
bracis-19092	6	19	the	the	DET
bracis-19092	6	20	one	one	NOUN
bracis-19092	6	21	with	with	ADP
bracis-19092	6	22	a	a	DET
bracis-19092	6	23	shallow	shallow	ADJ
bracis-19092	6	24	architecture	architecture	NOUN
bracis-19092	6	25	.	.	PUNCT
bracis-19092	7	1	then	then	ADV
bracis-19092	7	2	,	,	PUNCT
bracis-19092	7	3	we	we	PRON
bracis-19092	7	4	compared	compare	VERB
bracis-19092	7	5	this	this	DET
bracis-19092	7	6	model	model	NOUN
bracis-19092	7	7	with	with	ADP
bracis-19092	7	8	the	the	DET
bracis-19092	7	9	sota	sota	NOUN
bracis-19092	7	10	method	method	NOUN
bracis-19092	7	11	for	for	ADP
bracis-19092	7	12	the	the	DET
bracis-19092	7	13	speaker	speaker	NOUN
bracis-19092	7	14	recognition	recognition	PROPN
bracis-19092	7	15	task	task	PROPN
bracis-19092	7	16	:	:	PUNCT
bracis-19092	7	17	the	the	DET
bracis-19092	7	18	fast	fast	ADJ
bracis-19092	7	19	resnet–34	resnet–34	NOUN
bracis-19092	7	20	trained	train	VERB
bracis-19092	7	21	with	with	ADP
bracis-19092	7	22	approximately	approximately	ADV
bracis-19092	7	23	2,000	2,000	NUM
bracis-19092	7	24	 	 	SPACE
bracis-19092	7	25	h	h	NOUN
bracis-19092	7	26	,	,	PUNCT
bracis-19092	7	27	using	use	VERB
bracis-19092	7	28	the	the	DET
bracis-19092	7	29	loss	loss	NOUN
bracis-19092	7	30	functions	function	NOUN
bracis-19092	7	31	angular	angular	ADJ
bracis-19092	7	32	prototypical	prototypical	ADJ
bracis-19092	7	33	and	and	CCONJ
bracis-19092	7	34	ge2e	ge2e	NOUN
bracis-19092	7	35	.	.	PUNCT
bracis-19092	8	1	three	three	NUM
bracis-19092	8	2	experiments	experiment	NOUN
bracis-19092	8	3	were	be	AUX
bracis-19092	8	4	carried	carry	VERB
bracis-19092	8	5	out	out	ADP
bracis-19092	8	6	with	with	ADP
bracis-19092	8	7	datasets	dataset	NOUN
bracis-19092	8	8	in	in	ADP
bracis-19092	8	9	different	different	ADJ
bracis-19092	8	10	languages	language	NOUN
bracis-19092	8	11	.	.	PUNCT
bracis-19092	9	1	among	among	ADP
bracis-19092	9	2	these	these	DET
bracis-19092	9	3	three	three	NUM
bracis-19092	9	4	experiments	experiment	NOUN
bracis-19092	9	5	,	,	PUNCT
bracis-19092	9	6	our	our	PRON
bracis-19092	9	7	model	model	NOUN
bracis-19092	9	8	achieved	achieve	VERB
bracis-19092	9	9	the	the	DET
bracis-19092	9	10	second	second	ADJ
bracis-19092	9	11	best	good	ADJ
bracis-19092	9	12	result	result	NOUN
bracis-19092	9	13	in	in	ADP
bracis-19092	9	14	two	two	NUM
bracis-19092	9	15	experiments	experiment	NOUN
bracis-19092	9	16	and	and	CCONJ
bracis-19092	9	17	the	the	DET
bracis-19092	9	18	best	good	ADJ
bracis-19092	9	19	result	result	NOUN
bracis-19092	9	20	in	in	ADP
bracis-19092	9	21	one	one	NUM
bracis-19092	9	22	of	of	ADP
bracis-19092	9	23	them	they	PRON
bracis-19092	9	24	.	.	PUNCT
bracis-19092	10	1	this	this	PRON
bracis-19092	10	2	highlights	highlight	VERB
bracis-19092	10	3	the	the	DET
bracis-19092	10	4	importance	importance	NOUN
bracis-19092	10	5	of	of	ADP
bracis-19092	10	6	our	our	PRON
bracis-19092	10	7	method	method	NOUN
bracis-19092	10	8	,	,	PUNCT
bracis-19092	10	9	which	which	PRON
bracis-19092	10	10	proved	prove	VERB
bracis-19092	10	11	to	to	PART
bracis-19092	10	12	be	be	AUX
bracis-19092	10	13	a	a	DET
bracis-19092	10	14	great	great	ADJ
bracis-19092	10	15	competitor	competitor	NOUN
bracis-19092	10	16	to	to	ADP
bracis-19092	10	17	sota	sota	PROPN
bracis-19092	10	18	speaker	speaker	NOUN
bracis-19092	10	19	recognition	recognition	NOUN
bracis-19092	10	20	models	model	NOUN
bracis-19092	10	21	,	,	PUNCT
bracis-19092	10	22	with	with	ADP
bracis-19092	10	23	500x	500x	NUM
bracis-19092	10	24	less	less	ADJ
bracis-19092	10	25	data	datum	NOUN
bracis-19092	10	26	and	and	CCONJ
bracis-19092	10	27	a	a	DET
bracis-19092	10	28	simpler	simple	ADJ
bracis-19092	10	29	approach	approach	NOUN
bracis-19092	10	30	.	.	PUNCT
bracis-19092	11	1	access	access	NOUN
bracis-19092	11	2	provided	provide	VERB
bracis-19092	11	3	by	by	ADP
bracis-19092	11	4	university	university	PROPN
bracis-19092	11	5	of	of	ADP
bracis-19092	11	6	notre	notre	PROPN
bracis-19092	11	7	dame	dame	PROPN
bracis-19092	11	8	hesburgh	hesburgh	PROPN
bracis-19092	11	9	library	library	PROPN
bracis-19092	11	10	.	.	PUNCT
bracis-19092	12	1	download	download	PROPN
bracis-19092	12	2	conference	conference	NOUN
bracis-19092	12	3	paper	paper	NOUN
bracis-19092	12	4	pdf	pdf	NOUN
bracis-19092	12	5	similar	similar	ADJ
bracis-19092	12	6	content	content	NOUN
bracis-19092	12	7	being	be	AUX
bracis-19092	12	8	viewed	view	VERB
bracis-19092	12	9	by	by	ADP
bracis-19092	12	10	others	other	NOUN
bracis-19092	12	11	multi	multi	ADJ
bracis-19092	12	12	speaker	speaker	NOUN
bracis-19092	12	13	text	text	NOUN
bracis-19092	12	14	-	-	PUNCT
bracis-19092	12	15	to	to	ADP
bracis-19092	12	16	-	-	PUNCT
bracis-19092	12	17	speech	speech	NOUN
bracis-19092	12	18	synthesis	synthesis	NOUN
bracis-19092	12	19	using	use	VERB
bracis-19092	12	20	generalized	generalized	ADJ
bracis-19092	12	21	end	end	NOUN
bracis-19092	12	22	-	-	PUNCT
bracis-19092	12	23	to	to	ADP
bracis-19092	12	24	-	-	PUNCT
bracis-19092	12	25	end	end	NOUN
bracis-19092	12	26	loss	loss	NOUN
bracis-19092	12	27	function	function	NOUN
bracis-19092	12	28	article	article	NOUN
bracis-19092	12	29	13	13	NUM
bracis-19092	12	30	january	january	PROPN
bracis-19092	12	31	2024	2024	NUM
bracis-19092	12	32	the	the	DET
bracis-19092	12	33	influence	influence	NOUN
bracis-19092	12	34	of	of	ADP
bracis-19092	12	35	errors	error	NOUN
bracis-19092	12	36	in	in	ADP
bracis-19092	12	37	phonetic	phonetic	ADJ
bracis-19092	12	38	annotations	annotation	NOUN
bracis-19092	12	39	on	on	ADP
bracis-19092	12	40	performance	performance	NOUN
bracis-19092	12	41	of	of	ADP
bracis-19092	12	42	speech	speech	NOUN
bracis-19092	12	43	recognition	recognition	NOUN
bracis-19092	12	44	system	system	NOUN
bracis-19092	12	45	chapter	chapter	NOUN
bracis-19092	12	46	©	©	PROPN
bracis-19092	12	47	2018	2018	NUM
bracis-19092	12	48	robust	robust	ADJ
bracis-19092	12	49	recognition	recognition	NOUN
bracis-19092	12	50	of	of	ADP
bracis-19092	12	51	conversational	conversational	ADJ
bracis-19092	12	52	telephone	telephone	NOUN
bracis-19092	12	53	speech	speech	NOUN
bracis-19092	12	54	via	via	ADP
bracis-19092	12	55	multi	multi	ADJ
bracis-19092	12	56	-	-	ADJ
bracis-19092	12	57	condition	condition	ADJ
bracis-19092	12	58	training	training	NOUN
bracis-19092	12	59	and	and	CCONJ
bracis-19092	12	60	data	datum	NOUN
bracis-19092	12	61	augmentation	augmentation	NOUN
bracis-19092	12	62	chapter	chapter	NOUN
bracis-19092	12	63	©	©	PROPN
bracis-19092	12	64	2018	2018	NUM
bracis-19092	12	65	explore	explore	VERB
bracis-19092	12	66	related	relate	VERB
bracis-19092	12	67	subjects	subject	NOUN
bracis-19092	12	68	discover	discover	VERB
bracis-19092	12	69	the	the	DET
bracis-19092	12	70	latest	late	ADJ
bracis-19092	12	71	articles	article	NOUN
bracis-19092	12	72	,	,	PUNCT
bracis-19092	12	73	books	book	NOUN
bracis-19092	12	74	and	and	CCONJ
bracis-19092	12	75	news	news	NOUN
bracis-19092	12	76	in	in	ADP
bracis-19092	12	77	related	related	ADJ
bracis-19092	12	78	subjects	subject	NOUN
bracis-19092	12	79	,	,	PUNCT
bracis-19092	12	80	suggested	suggest	VERB
bracis-19092	12	81	using	use	VERB
bracis-19092	12	82	machine	machine	NOUN
bracis-19092	12	83	learning	learning	NOUN
bracis-19092	12	84	.	.	PUNCT
bracis-19092	13	1	lisp	lisp	NOUN
bracis-19092	13	2	signal	signal	NOUN
bracis-19092	13	3	,	,	PUNCT
bracis-19092	13	4	speech	speech	NOUN
bracis-19092	13	5	and	and	CCONJ
bracis-19092	13	6	image	image	NOUN
bracis-19092	13	7	processing	processing	NOUN
bracis-19092	13	8	speech	speech	NOUN
bracis-19092	13	9	and	and	CCONJ
bracis-19092	13	10	language	language	NOUN
bracis-19092	13	11	therapy	therapy	NOUN
bracis-19092	13	12	speech	speech	NOUN
bracis-19092	13	13	and	and	CCONJ
bracis-19092	13	14	audio	audio	NOUN
bracis-19092	13	15	processing	processing	NOUN
bracis-19092	13	16	speech	speech	NOUN
bracis-19092	13	17	and	and	CCONJ
bracis-19092	13	18	audio	audio	NOUN
bracis-19092	13	19	signal	signal	NOUN
bracis-19092	13	20	processing	processing	NOUN
bracis-19092	13	21	speech	speech	NOUN
bracis-19092	13	22	perception	perception	NOUN
bracis-19092	13	23	1	1	NUM
bracis-19092	13	24	introduction	introduction	NOUN
bracis-19092	13	25	voice	voice	NOUN
bracis-19092	13	26	recognition	recognition	NOUN
bracis-19092	13	27	is	be	AUX
bracis-19092	13	28	widely	widely	ADV
bracis-19092	13	29	used	use	VERB
bracis-19092	13	30	in	in	ADP
bracis-19092	13	31	many	many	ADJ
bracis-19092	13	32	applications	application	NOUN
bracis-19092	13	33	,	,	PUNCT
bracis-19092	13	34	such	such	ADJ
bracis-19092	13	35	as	as	ADP
bracis-19092	13	36	intelligent	intelligent	ADJ
bracis-19092	13	37	personal	personal	ADJ
bracis-19092	13	38	assistants	assistant	NOUN
bracis-19092	13	39	[	[	X
bracis-19092	13	40	14	14	NUM
bracis-19092	13	41	]	]	PUNCT
bracis-19092	13	42	,	,	PUNCT
bracis-19092	13	43	telephone	telephone	NOUN
bracis-19092	13	44	-	-	PUNCT
bracis-19092	13	45	banking	banking	NOUN
bracis-19092	13	46	systems	system	NOUN
bracis-19092	13	47	[	[	X
bracis-19092	13	48	4	4	NUM
bracis-19092	13	49	]	]	PUNCT
bracis-19092	13	50	,	,	PUNCT
bracis-19092	13	51	automatic	automatic	ADJ
bracis-19092	13	52	question	question	NOUN
bracis-19092	13	53	response	response	NOUN
bracis-19092	14	1	[	[	X
bracis-19092	14	2	12	12	NUM
bracis-19092	14	3	]	]	PUNCT
bracis-19092	14	4	,	,	PUNCT
bracis-19092	14	5	among	among	ADP
bracis-19092	14	6	others	other	NOUN
bracis-19092	14	7	.	.	PUNCT
bracis-19092	15	1	in	in	ADP
bracis-19092	15	2	several	several	ADJ
bracis-19092	15	3	of	of	ADP
bracis-19092	15	4	these	these	DET
bracis-19092	15	5	applications	application	NOUN
bracis-19092	15	6	,	,	PUNCT
bracis-19092	15	7	it	it	PRON
bracis-19092	15	8	is	be	AUX
bracis-19092	15	9	useful	useful	ADJ
bracis-19092	15	10	to	to	PART
bracis-19092	15	11	identify	identify	VERB
bracis-19092	15	12	the	the	DET
bracis-19092	15	13	speaker	speaker	NOUN
bracis-19092	15	14	,	,	PUNCT
bracis-19092	15	15	as	as	SCONJ
bracis-19092	15	16	is	be	AUX
bracis-19092	15	17	the	the	DET
bracis-19092	15	18	case	case	NOUN
bracis-19092	15	19	in	in	ADP
bracis-19092	15	20	voice	voice	NOUN
bracis-19092	15	21	-	-	PUNCT
bracis-19092	15	22	enabled	enable	VERB
bracis-19092	15	23	authentication	authentication	NOUN
bracis-19092	15	24	and	and	CCONJ
bracis-19092	15	25	meeting	meeting	NOUN
bracis-19092	15	26	loggers	logger	NOUN
bracis-19092	15	27	.	.	PUNCT
bracis-19092	16	1	speaker	speaker	NOUN
bracis-19092	16	2	verification	verification	NOUN
bracis-19092	16	3	can	can	AUX
bracis-19092	16	4	be	be	AUX
bracis-19092	16	5	done	do	VERB
bracis-19092	16	6	in	in	ADP
bracis-19092	16	7	two	two	NUM
bracis-19092	16	8	scenarios	scenario	NOUN
bracis-19092	16	9	:	:	PUNCT
bracis-19092	16	10	open	open	ADJ
bracis-19092	16	11	-	-	PUNCT
bracis-19092	16	12	set	set	VERB
bracis-19092	16	13	and	and	CCONJ
bracis-19092	16	14	closed	closed	ADJ
bracis-19092	16	15	-	-	PUNCT
bracis-19092	16	16	set	set	NOUN
bracis-19092	16	17	.	.	PUNCT
bracis-19092	17	1	in	in	ADP
bracis-19092	17	2	both	both	DET
bracis-19092	17	3	scenarios	scenario	NOUN
bracis-19092	17	4	,	,	PUNCT
bracis-19092	17	5	the	the	DET
bracis-19092	17	6	objective	objective	NOUN
bracis-19092	17	7	is	be	AUX
bracis-19092	17	8	to	to	PART
bracis-19092	17	9	verify	verify	VERB
bracis-19092	17	10	that	that	SCONJ
bracis-19092	17	11	two	two	NUM
bracis-19092	17	12	audio	audio	ADJ
bracis-19092	17	13	samples	sample	NOUN
bracis-19092	17	14	belong	belong	VERB
bracis-19092	17	15	to	to	ADP
bracis-19092	17	16	the	the	DET
bracis-19092	17	17	same	same	ADJ
bracis-19092	17	18	speaker	speaker	NOUN
bracis-19092	17	19	.	.	PUNCT
bracis-19092	18	1	however	however	ADV
bracis-19092	18	2	,	,	PUNCT
bracis-19092	18	3	in	in	ADP
bracis-19092	18	4	the	the	DET
bracis-19092	18	5	closed	closed	ADJ
bracis-19092	18	6	-	-	PUNCT
bracis-19092	18	7	set	set	VERB
bracis-19092	18	8	scenario	scenario	NOUN
bracis-19092	18	9	,	,	PUNCT
bracis-19092	18	10	the	the	DET
bracis-19092	18	11	verification	verification	NOUN
bracis-19092	18	12	is	be	AUX
bracis-19092	18	13	restricted	restrict	VERB
bracis-19092	18	14	only	only	ADV
bracis-19092	18	15	to	to	ADP
bracis-19092	18	16	speakers	speaker	NOUN
bracis-19092	18	17	seen	see	VERB
bracis-19092	18	18	during	during	ADP
bracis-19092	18	19	the	the	DET
bracis-19092	18	20	training	training	NOUN
bracis-19092	18	21	of	of	ADP
bracis-19092	18	22	the	the	DET
bracis-19092	18	23	models	model	NOUN
bracis-19092	18	24	.	.	PUNCT
bracis-19092	19	1	on	on	ADP
bracis-19092	19	2	the	the	DET
bracis-19092	19	3	other	other	ADJ
bracis-19092	19	4	hand	hand	NOUN
bracis-19092	19	5	,	,	PUNCT
bracis-19092	19	6	in	in	ADP
bracis-19092	19	7	the	the	DET
bracis-19092	19	8	open	open	ADJ
bracis-19092	19	9	-	-	PUNCT
bracis-19092	19	10	set	set	VERB
bracis-19092	19	11	scenario	scenario	NOUN
bracis-19092	19	12	,	,	PUNCT
bracis-19092	19	13	verification	verification	NOUN
bracis-19092	19	14	occurs	occur	VERB
bracis-19092	19	15	with	with	ADP
bracis-19092	19	16	speakers	speaker	NOUN
bracis-19092	19	17	not	not	PART
bracis-19092	19	18	seen	see	VERB
bracis-19092	19	19	in	in	ADP
bracis-19092	19	20	model	model	NOUN
bracis-19092	19	21	training	training	NOUN
bracis-19092	19	22	[	[	X
bracis-19092	19	23	11	11	NUM
bracis-19092	19	24	,	,	PUNCT
bracis-19092	19	25	17	17	NUM
bracis-19092	19	26	]	]	PUNCT
bracis-19092	19	27	.	.	PUNCT
bracis-19092	20	1	the	the	DET
bracis-19092	20	2	verification	verification	NOUN
bracis-19092	20	3	of	of	ADP
bracis-19092	20	4	speakers	speaker	NOUN
bracis-19092	20	5	in	in	ADP
bracis-19092	20	6	an	an	DET
bracis-19092	20	7	open	open	ADJ
bracis-19092	20	8	-	-	PUNCT
bracis-19092	20	9	set	set	VERB
bracis-19092	20	10	scenario	scenario	NOUN
bracis-19092	20	11	is	be	AUX
bracis-19092	20	12	especially	especially	ADV
bracis-19092	20	13	desired	desire	VERB
bracis-19092	20	14	in	in	ADP
bracis-19092	20	15	applications	application	NOUN
bracis-19092	20	16	such	such	ADJ
bracis-19092	20	17	as	as	ADP
bracis-19092	20	18	meeting	meeting	NOUN
bracis-19092	20	19	loggers	logger	NOUN
bracis-19092	20	20	,	,	PUNCT
bracis-19092	20	21	since	since	SCONJ
bracis-19092	20	22	in	in	ADP
bracis-19092	20	23	these	these	DET
bracis-19092	20	24	applications	application	NOUN
bracis-19092	20	25	speakers	speaker	NOUN
bracis-19092	20	26	can	can	AUX
bracis-19092	20	27	be	be	AUX
bracis-19092	20	28	added	add	VERB
bracis-19092	20	29	frequently	frequently	ADV
bracis-19092	20	30	,	,	PUNCT
bracis-19092	20	31	thus	thus	ADV
bracis-19092	20	32	,	,	PUNCT
bracis-19092	20	33	the	the	DET
bracis-19092	20	34	use	use	NOUN
bracis-19092	20	35	of	of	ADP
bracis-19092	20	36	closed	closed	ADJ
bracis-19092	20	37	-	-	PUNCT
bracis-19092	20	38	set	set	VERB
bracis-19092	20	39	models	model	NOUN
bracis-19092	20	40	would	would	AUX
bracis-19092	20	41	imply	imply	VERB
bracis-19092	20	42	the	the	DET
bracis-19092	20	43	retraining	retraining	NOUN
bracis-19092	20	44	of	of	ADP
bracis-19092	20	45	the	the	DET
bracis-19092	20	46	model	model	NOUN
bracis-19092	20	47	after	after	ADP
bracis-19092	20	48	the	the	DET
bracis-19092	20	49	insertion	insertion	NOUN
bracis-19092	20	50	of	of	ADP
bracis-19092	20	51	new	new	ADJ
bracis-19092	20	52	speakers	speaker	NOUN
bracis-19092	20	53	.	.	PUNCT
bracis-19092	21	1	the	the	DET
bracis-19092	21	2	first	first	ADJ
bracis-19092	21	3	works	work	VERB
bracis-19092	21	4	to	to	PART
bracis-19092	21	5	use	use	VERB
bracis-19092	21	6	deep	deep	ADJ
bracis-19092	21	7	neural	neural	ADJ
bracis-19092	21	8	networks	network	NOUN
bracis-19092	21	9	in	in	ADP
bracis-19092	21	10	speaker	speaker	NOUN
bracis-19092	21	11	recognition	recognition	NOUN
bracis-19092	21	12	in	in	ADP
bracis-19092	21	13	an	an	DET
bracis-19092	21	14	open	open	ADJ
bracis-19092	21	15	-	-	PUNCT
bracis-19092	21	16	set	set	VERB
bracis-19092	21	17	scenario	scenario	NOUN
bracis-19092	21	18	learned	learn	VERB
bracis-19092	21	19	speaker	speaker	NOUN
bracis-19092	21	20	embeddings	embedding	NOUN
bracis-19092	21	21	were	be	AUX
bracis-19092	21	22	[	[	X
bracis-19092	21	23	30	30	NUM
bracis-19092	21	24	,	,	PUNCT
bracis-19092	21	25	31	31	NUM
bracis-19092	21	26	]	]	PUNCT
bracis-19092	21	27	,	,	PUNCT
bracis-19092	21	28	using	use	VERB
bracis-19092	21	29	the	the	DET
bracis-19092	21	30	softmax	softmax	NOUN
bracis-19092	21	31	function	function	NOUN
bracis-19092	21	32	.	.	PUNCT
bracis-19092	22	1	although	although	SCONJ
bracis-19092	22	2	the	the	DET
bracis-19092	22	3	softmax	softmax	NOUN
bracis-19092	22	4	classifier	classifier	NOUN
bracis-19092	22	5	can	can	AUX
bracis-19092	22	6	learn	learn	VERB
bracis-19092	22	7	different	different	ADJ
bracis-19092	22	8	embeddings	embedding	NOUN
bracis-19092	22	9	for	for	ADP
bracis-19092	22	10	different	different	ADJ
bracis-19092	22	11	speakers	speaker	NOUN
bracis-19092	22	12	,	,	PUNCT
bracis-19092	22	13	it	it	PRON
bracis-19092	22	14	is	be	AUX
bracis-19092	22	15	not	not	PART
bracis-19092	22	16	discriminatory	discriminatory	ADJ
bracis-19092	22	17	enough	enough	ADV
bracis-19092	22	18	[	[	X
bracis-19092	22	19	8	8	NUM
bracis-19092	22	20	]	]	PUNCT
bracis-19092	22	21	.	.	PUNCT
bracis-19092	23	1	to	to	PART
bracis-19092	23	2	work	work	VERB
bracis-19092	23	3	around	around	ADP
bracis-19092	23	4	this	this	DET
bracis-19092	23	5	problem	problem	NOUN
bracis-19092	23	6	,	,	PUNCT
bracis-19092	23	7	models	model	NOUN
bracis-19092	23	8	trained	train	VERB
bracis-19092	23	9	with	with	ADP
bracis-19092	23	10	softmax	softmax	NOUN
bracis-19092	23	11	were	be	AUX
bracis-19092	23	12	combined	combine	VERB
bracis-19092	23	13	with	with	ADP
bracis-19092	23	14	back	back	NOUN
bracis-19092	23	15	-	-	PUNCT
bracis-19092	23	16	ends	end	NOUN
bracis-19092	23	17	built	build	VERB
bracis-19092	23	18	on	on	ADP
bracis-19092	23	19	probabilistic	probabilistic	ADJ
bracis-19092	23	20	linear	linear	ADJ
bracis-19092	23	21	discriminant	discriminant	ADJ
bracis-19092	23	22	analysis	analysis	NOUN
bracis-19092	23	23	(	(	PUNCT
bracis-19092	23	24	plda	plda	NOUN
bracis-19092	23	25	)	)	PUNCT
bracis-19092	24	1	[	[	X
bracis-19092	24	2	16	16	NUM
bracis-19092	24	3	]	]	PUNCT
bracis-19092	24	4	to	to	PART
bracis-19092	24	5	generate	generate	VERB
bracis-19092	24	6	scoring	scoring	NOUN
bracis-19092	24	7	functions	function	NOUN
bracis-19092	24	8	[	[	X
bracis-19092	24	9	27	27	NUM
bracis-19092	24	10	,	,	PUNCT
bracis-19092	24	11	31	31	NUM
bracis-19092	24	12	]	]	PUNCT
bracis-19092	24	13	.	.	PUNCT
bracis-19092	25	1	on	on	ADP
bracis-19092	25	2	the	the	DET
bracis-19092	25	3	other	other	ADJ
bracis-19092	25	4	hand	hand	NOUN
bracis-19092	25	5	,	,	PUNCT
bracis-19092	25	6	softmax	softmax	NOUN
bracis-19092	25	7	angular	angular	NOUN
bracis-19092	25	8	[	[	X
bracis-19092	25	9	19	19	NUM
bracis-19092	25	10	]	]	PUNCT
bracis-19092	25	11	was	be	AUX
bracis-19092	25	12	proposed	propose	VERB
bracis-19092	25	13	and	and	CCONJ
bracis-19092	25	14	it	it	PRON
bracis-19092	25	15	uses	use	VERB
bracis-19092	25	16	cosine	cosine	NOUN
bracis-19092	25	17	similarity	similarity	NOUN
bracis-19092	25	18	as	as	ADP
bracis-19092	25	19	a	a	DET
bracis-19092	25	20	logit	logit	NOUN
bracis-19092	25	21	entry	entry	NOUN
bracis-19092	25	22	for	for	ADP
bracis-19092	25	23	the	the	DET
bracis-19092	25	24	softmax	softmax	NOUN
bracis-19092	25	25	layer	layer	NOUN
bracis-19092	25	26	,	,	PUNCT
bracis-19092	25	27	and	and	CCONJ
bracis-19092	25	28	it	it	PRON
bracis-19092	25	29	proved	prove	VERB
bracis-19092	25	30	to	to	PART
bracis-19092	25	31	be	be	AUX
bracis-19092	25	32	superior	superior	ADJ
bracis-19092	25	33	to	to	ADP
bracis-19092	25	34	the	the	DET
bracis-19092	25	35	use	use	NOUN
bracis-19092	25	36	of	of	ADP
bracis-19092	25	37	softmax	softmax	NOUN
bracis-19092	25	38	only	only	ADV
bracis-19092	25	39	.	.	PUNCT
bracis-19092	26	1	thereafter	thereafter	ADV
bracis-19092	26	2	,	,	PUNCT
bracis-19092	26	3	additive	additive	ADJ
bracis-19092	26	4	margins	margin	NOUN
bracis-19092	26	5	in	in	ADP
bracis-19092	26	6	softmax	softmax	NOUN
bracis-19092	26	7	(	(	PUNCT
bracis-19092	26	8	am	am	NOUN
bracis-19092	26	9	-	-	PUNCT
bracis-19092	26	10	softmax	softmax	NOUN
bracis-19092	26	11	)	)	PUNCT
bracis-19092	27	1	[	[	X
bracis-19092	27	2	35	35	NUM
bracis-19092	27	3	]	]	PUNCT
bracis-19092	27	4	was	be	AUX
bracis-19092	27	5	proposed	propose	VERB
bracis-19092	27	6	to	to	PART
bracis-19092	27	7	increase	increase	VERB
bracis-19092	27	8	inter	inter	ADJ
bracis-19092	27	9	-	-	ADJ
bracis-19092	27	10	class	class	ADJ
bracis-19092	27	11	variance	variance	NOUN
bracis-19092	27	12	by	by	ADP
bracis-19092	27	13	introducing	introduce	VERB
bracis-19092	27	14	a	a	DET
bracis-19092	27	15	cosine	cosine	NOUN
bracis-19092	27	16	margin	margin	NOUN
bracis-19092	27	17	penalty	penalty	NOUN
bracis-19092	27	18	in	in	ADP
bracis-19092	27	19	the	the	DET
bracis-19092	27	20	target	target	NOUN
bracis-19092	27	21	logit	logit	NOUN
bracis-19092	27	22	.	.	PUNCT
bracis-19092	28	1	however	however	ADV
bracis-19092	28	2	,	,	PUNCT
bracis-19092	28	3	according	accord	VERB
bracis-19092	28	4	to	to	ADP
bracis-19092	28	5	[	[	X
bracis-19092	28	6	8	8	NUM
bracis-19092	28	7	]	]	PUNCT
bracis-19092	28	8	training	training	NOUN
bracis-19092	28	9	with	with	ADP
bracis-19092	28	10	am	am	NOUN
bracis-19092	28	11	-	-	PUNCT
bracis-19092	28	12	softmax	softmax	ADJ
bracis-19092	28	13	and	and	CCONJ
bracis-19092	28	14	aam	aam	PROPN
bracis-19092	28	15	-	-	PUNCT
bracis-19092	28	16	softmax	softmax	NOUN
bracis-19092	28	17	[	[	X
bracis-19092	28	18	10	10	NUM
bracis-19092	28	19	]	]	PUNCT
bracis-19092	28	20	proved	prove	VERB
bracis-19092	28	21	to	to	PART
bracis-19092	28	22	be	be	AUX
bracis-19092	28	23	a	a	DET
bracis-19092	28	24	challenge	challenge	NOUN
bracis-19092	28	25	,	,	PUNCT
bracis-19092	28	26	as	as	SCONJ
bracis-19092	28	27	they	they	PRON
bracis-19092	28	28	are	be	AUX
bracis-19092	28	29	sensitive	sensitive	ADJ
bracis-19092	28	30	to	to	PART
bracis-19092	28	31	scale	scale	VERB
bracis-19092	28	32	and	and	CCONJ
bracis-19092	28	33	margin	margin	NOUN
bracis-19092	28	34	value	value	NOUN
bracis-19092	28	35	in	in	ADP
bracis-19092	28	36	the	the	DET
bracis-19092	28	37	loss	loss	NOUN
bracis-19092	28	38	function	function	NOUN
bracis-19092	28	39	.	.	PUNCT
bracis-19092	29	1	the	the	DET
bracis-19092	29	2	use	use	NOUN
bracis-19092	29	3	of	of	ADP
bracis-19092	29	4	contrastive	contrastive	ADJ
bracis-19092	29	5	loss	loss	NOUN
bracis-19092	29	6	[	[	X
bracis-19092	29	7	7	7	NUM
bracis-19092	29	8	]	]	PUNCT
bracis-19092	29	9	and	and	CCONJ
bracis-19092	29	10	triplet	triplet	NOUN
bracis-19092	29	11	loss	loss	NOUN
bracis-19092	29	12	[	[	X
bracis-19092	29	13	5	5	NUM
bracis-19092	29	14	,	,	PUNCT
bracis-19092	29	15	28	28	NUM
bracis-19092	29	16	]	]	PUNCT
bracis-19092	29	17	also	also	ADV
bracis-19092	29	18	achieved	achieve	VERB
bracis-19092	29	19	promising	promising	ADJ
bracis-19092	29	20	results	result	NOUN
bracis-19092	29	21	in	in	ADP
bracis-19092	29	22	speaker	speaker	NOUN
bracis-19092	29	23	recognition	recognition	NOUN
bracis-19092	29	24	,	,	PUNCT
bracis-19092	29	25	but	but	CCONJ
bracis-19092	29	26	these	these	DET
bracis-19092	29	27	methods	method	NOUN
bracis-19092	29	28	require	require	VERB
bracis-19092	29	29	careful	careful	ADJ
bracis-19092	29	30	choice	choice	NOUN
bracis-19092	29	31	of	of	ADP
bracis-19092	29	32	pairs	pair	NOUN
bracis-19092	29	33	or	or	CCONJ
bracis-19092	29	34	triplets	triplet	NOUN
bracis-19092	29	35	,	,	PUNCT
bracis-19092	29	36	which	which	PRON
bracis-19092	29	37	costs	cost	VERB
bracis-19092	29	38	time	time	NOUN
bracis-19092	29	39	and	and	CCONJ
bracis-19092	29	40	can	can	AUX
bracis-19092	29	41	interfere	interfere	VERB
bracis-19092	29	42	with	with	ADP
bracis-19092	29	43	performance	performance	NOUN
bracis-19092	29	44	[	[	X
bracis-19092	29	45	8	8	NUM
bracis-19092	29	46	]	]	PUNCT
bracis-19092	29	47	.	.	PUNCT
bracis-19092	30	1	finally	finally	ADV
bracis-19092	30	2	,	,	PUNCT
bracis-19092	30	3	the	the	DET
bracis-19092	30	4	use	use	NOUN
bracis-19092	30	5	of	of	ADP
bracis-19092	30	6	prototypical	prototypical	ADJ
bracis-19092	30	7	networks	network	NOUN
bracis-19092	30	8	[	[	X
bracis-19092	30	9	36	36	NUM
bracis-19092	30	10	]	]	PUNCT
bracis-19092	30	11	for	for	ADP
bracis-19092	30	12	speaker	speaker	NOUN
bracis-19092	30	13	recognition	recognition	NOUN
bracis-19092	30	14	was	be	AUX
bracis-19092	30	15	proposed	propose	VERB
bracis-19092	30	16	.	.	PUNCT
bracis-19092	31	1	prototypical	prototypical	ADJ
bracis-19092	31	2	networks	network	NOUN
bracis-19092	31	3	seek	seek	VERB
bracis-19092	31	4	to	to	PART
bracis-19092	31	5	learn	learn	VERB
bracis-19092	31	6	a	a	DET
bracis-19092	31	7	metric	metric	ADJ
bracis-19092	31	8	space	space	NOUN
bracis-19092	31	9	in	in	ADP
bracis-19092	31	10	which	which	PRON
bracis-19092	31	11	the	the	DET
bracis-19092	31	12	classification	classification	NOUN
bracis-19092	31	13	of	of	ADP
bracis-19092	31	14	open	open	ADJ
bracis-19092	31	15	-	-	PUNCT
bracis-19092	31	16	sets	set	NOUN
bracis-19092	31	17	of	of	ADP
bracis-19092	31	18	speakers	speaker	NOUN
bracis-19092	31	19	can	can	AUX
bracis-19092	31	20	be	be	AUX
bracis-19092	31	21	performed	perform	VERB
bracis-19092	31	22	by	by	ADP
bracis-19092	31	23	calculating	calculate	VERB
bracis-19092	31	24	distances	distance	NOUN
bracis-19092	31	25	to	to	ADP
bracis-19092	31	26	prototypical	prototypical	ADJ
bracis-19092	31	27	representations	representation	NOUN
bracis-19092	31	28	of	of	ADP
bracis-19092	31	29	each	each	DET
bracis-19092	31	30	class	class	NOUN
bracis-19092	31	31	.	.	PUNCT
bracis-19092	32	1	generalized	generalized	ADJ
bracis-19092	32	2	end	end	NOUN
bracis-19092	32	3	-	-	PUNCT
bracis-19092	32	4	to	to	ADP
bracis-19092	32	5	-	-	PUNCT
bracis-19092	32	6	end	end	NOUN
bracis-19092	32	7	loss	loss	NOUN
bracis-19092	32	8	(	(	PUNCT
bracis-19092	32	9	ge2e	ge2e	NOUN
bracis-19092	32	10	)	)	PUNCT
bracis-19092	33	1	[	[	X
bracis-19092	33	2	34	34	NUM
bracis-19092	33	3	]	]	PUNCT
bracis-19092	33	4	and	and	CCONJ
bracis-19092	33	5	angular	angular	ADJ
bracis-19092	33	6	prototypical	prototypical	ADJ
bracis-19092	33	7	(	(	PUNCT
bracis-19092	33	8	angleproto	angleproto	NOUN
bracis-19092	33	9	)	)	PUNCT
bracis-19092	34	1	[	[	X
bracis-19092	34	2	8	8	NUM
bracis-19092	34	3	]	]	PUNCT
bracis-19092	34	4	follow	follow	VERB
bracis-19092	34	5	the	the	DET
bracis-19092	34	6	same	same	ADJ
bracis-19092	34	7	principle	principle	NOUN
bracis-19092	34	8	and	and	CCONJ
bracis-19092	34	9	achieved	achieve	VERB
bracis-19092	34	10	state	state	NOUN
bracis-19092	34	11	-	-	PUNCT
bracis-19092	34	12	of	of	ADP
bracis-19092	34	13	-	-	PUNCT
bracis-19092	34	14	the	the	DET
bracis-19092	34	15	-	-	PUNCT
bracis-19092	34	16	art	art	NOUN
bracis-19092	34	17	(	(	PUNCT
bracis-19092	34	18	sota	sota	NOUN
bracis-19092	34	19	)	)	PUNCT
bracis-19092	34	20	results	result	NOUN
bracis-19092	34	21	recently	recently	ADV
bracis-19092	34	22	in	in	ADP
bracis-19092	34	23	speaker	speaker	NOUN
bracis-19092	34	24	recognition	recognition	PROPN
bracis-19092	34	25	.	.	PUNCT
bracis-19092	35	1	parallel	parallel	ADJ
bracis-19092	35	2	with	with	ADP
bracis-19092	35	3	this	this	DET
bracis-19092	35	4	work	work	NOUN
bracis-19092	35	5	,	,	PUNCT
bracis-19092	35	6	[	[	X
bracis-19092	35	7	15	15	NUM
bracis-19092	35	8	]	]	PUNCT
bracis-19092	35	9	proposed	propose	VERB
bracis-19092	35	10	the	the	DET
bracis-19092	35	11	use	use	NOUN
bracis-19092	35	12	of	of	ADP
bracis-19092	35	13	the	the	DET
bracis-19092	35	14	angleproto	angleproto	NOUN
bracis-19092	35	15	loss	loss	NOUN
bracis-19092	35	16	function	function	NOUN
bracis-19092	35	17	in	in	ADP
bracis-19092	35	18	conjunction	conjunction	NOUN
bracis-19092	35	19	with	with	ADP
bracis-19092	35	20	softmax	softmax	NOUN
bracis-19092	35	21	,	,	PUNCT
bracis-19092	35	22	presenting	present	VERB
bracis-19092	35	23	a	a	DET
bracis-19092	35	24	result	result	NOUN
bracis-19092	35	25	superior	superior	ADJ
bracis-19092	35	26	to	to	ADP
bracis-19092	35	27	the	the	DET
bracis-19092	35	28	use	use	NOUN
bracis-19092	35	29	of	of	ADP
bracis-19092	35	30	angleproto	angleproto	NOUN
bracis-19092	35	31	only	only	ADV
bracis-19092	35	32	.	.	PUNCT
bracis-19092	36	1	the	the	DET
bracis-19092	36	2	authors	author	NOUN
bracis-19092	36	3	proposed	propose	VERB
bracis-19092	36	4	a	a	DET
bracis-19092	36	5	new	new	ADJ
bracis-19092	36	6	architecture	architecture	NOUN
bracis-19092	36	7	presenting	present	VERB
bracis-19092	36	8	sota	sota	NOUN
bracis-19092	36	9	results	result	NOUN
bracis-19092	36	10	.	.	PUNCT
bracis-19092	37	1	in	in	ADP
bracis-19092	37	2	this	this	DET
bracis-19092	37	3	work	work	NOUN
bracis-19092	37	4	,	,	PUNCT
bracis-19092	37	5	we	we	PRON
bracis-19092	37	6	propose	propose	VERB
bracis-19092	37	7	a	a	DET
bracis-19092	37	8	new	new	ADJ
bracis-19092	37	9	method	method	NOUN
bracis-19092	37	10	for	for	ADP
bracis-19092	37	11	training	training	NOUN
bracis-19092	37	12	speaker	speaker	NOUN
bracis-19092	37	13	recognition	recognition	NOUN
bracis-19092	37	14	models	model	NOUN
bracis-19092	37	15	,	,	PUNCT
bracis-19092	37	16	called	call	VERB
bracis-19092	37	17	speech2phone	speech2phone	NOUN
bracis-19092	37	18	.	.	PUNCT
bracis-19092	38	1	this	this	DET
bracis-19092	38	2	method	method	NOUN
bracis-19092	38	3	was	be	AUX
bracis-19092	38	4	trained	train	VERB
bracis-19092	38	5	with	with	ADP
bracis-19092	38	6	approximately	approximately	ADV
bracis-19092	38	7	3.5	3.5	NUM
bracis-19092	38	8	 	 	SPACE
bracis-19092	38	9	h	h	NOUN
bracis-19092	38	10	of	of	ADP
bracis-19092	38	11	speech	speech	NOUN
bracis-19092	38	12	and	and	CCONJ
bracis-19092	38	13	surpassed	surpass	VERB
bracis-19092	38	14	a	a	DET
bracis-19092	38	15	model	model	NOUN
bracis-19092	38	16	trained	train	VERB
bracis-19092	38	17	with	with	ADP
bracis-19092	38	18	2.000	2.000	NUM
bracis-19092	38	19	 	 	SPACE
bracis-19092	38	20	h	h	NOUN
bracis-19092	38	21	of	of	ADP
bracis-19092	38	22	speech	speech	NOUN
bracis-19092	38	23	using	use	VERB
bracis-19092	38	24	the	the	DET
bracis-19092	38	25	ge2e	ge2e	NOUN
bracis-19092	38	26	loss	loss	NOUN
bracis-19092	38	27	function	function	NOUN
bracis-19092	38	28	.	.	PUNCT
bracis-19092	39	1	our	our	PRON
bracis-19092	39	2	method	method	NOUN
bracis-19092	39	3	is	be	AUX
bracis-19092	39	4	based	base	VERB
bracis-19092	39	5	on	on	ADP
bracis-19092	39	6	the	the	DET
bracis-19092	39	7	reconstruction	reconstruction	NOUN
bracis-19092	39	8	of	of	ADP
bracis-19092	39	9	the	the	DET
bracis-19092	39	10	pronunciation	pronunciation	NOUN
bracis-19092	39	11	of	of	ADP
bracis-19092	39	12	a	a	DET
bracis-19092	39	13	specific	specific	ADJ
bracis-19092	39	14	phoneme	phoneme	NOUN
bracis-19092	39	15	and	and	CCONJ
bracis-19092	39	16	has	have	AUX
bracis-19092	39	17	shown	show	VERB
bracis-19092	39	18	promise	promise	NOUN
bracis-19092	39	19	in	in	ADP
bracis-19092	39	20	scenarios	scenario	NOUN
bracis-19092	39	21	with	with	ADP
bracis-19092	39	22	few	few	ADJ
bracis-19092	39	23	available	available	ADJ
bracis-19092	39	24	resources	resource	NOUN
bracis-19092	39	25	.	.	PUNCT
bracis-19092	40	1	in	in	ADP
bracis-19092	40	2	addition	addition	NOUN
bracis-19092	40	3	,	,	PUNCT
bracis-19092	40	4	the	the	DET
bracis-19092	40	5	simplicity	simplicity	NOUN
bracis-19092	40	6	of	of	ADP
bracis-19092	40	7	its	its	PRON
bracis-19092	40	8	architecture	architecture	NOUN
bracis-19092	40	9	makes	make	VERB
bracis-19092	40	10	our	our	PRON
bracis-19092	40	11	method	method	NOUN
bracis-19092	40	12	suitable	suitable	ADJ
bracis-19092	40	13	for	for	ADP
bracis-19092	40	14	real	real	ADJ
bracis-19092	40	15	-	-	PUNCT
bracis-19092	40	16	time	time	NOUN
bracis-19092	40	17	applications	application	NOUN
bracis-19092	40	18	with	with	ADP
bracis-19092	40	19	low	low	ADJ
bracis-19092	40	20	processing	processing	NOUN
bracis-19092	40	21	power	power	NOUN
bracis-19092	40	22	.	.	PUNCT
bracis-19092	41	1	finally	finally	ADV
bracis-19092	41	2	,	,	PUNCT
bracis-19092	41	3	to	to	PART
bracis-19092	41	4	simplify	simplify	VERB
bracis-19092	41	5	the	the	DET
bracis-19092	41	6	reproduction	reproduction	NOUN
bracis-19092	41	7	of	of	ADP
bracis-19092	41	8	this	this	DET
bracis-19092	41	9	work	work	NOUN
bracis-19092	41	10	,	,	PUNCT
bracis-19092	41	11	python	python	PROPN
bracis-19092	41	12	code	code	NOUN
bracis-19092	41	13	and	and	CCONJ
bracis-19092	41	14	download	download	VERB
bracis-19092	41	15	links	link	NOUN
bracis-19092	41	16	for	for	ADP
bracis-19092	41	17	the	the	DET
bracis-19092	41	18	datasets	dataset	NOUN
bracis-19092	41	19	used	use	VERB
bracis-19092	41	20	to	to	PART
bracis-19092	41	21	reproduce	reproduce	VERB
bracis-19092	41	22	all	all	DET
bracis-19092	41	23	experiments	experiment	NOUN
bracis-19092	41	24	are	be	AUX
bracis-19092	41	25	publicly	publicly	ADV
bracis-19092	41	26	available	available	ADJ
bracis-19092	41	27	on	on	ADP
bracis-19092	41	28	the	the	DET
bracis-19092	41	29	github	github	PROPN
bracis-19092	41	30	repositoryfootnote	repositoryfootnote	VERB
bracis-19092	41	31	1	1	NUM
bracis-19092	41	32	.	.	PUNCT
bracis-19092	42	1	this	this	DET
bracis-19092	42	2	work	work	NOUN
bracis-19092	42	3	is	be	AUX
bracis-19092	42	4	organized	organize	VERB
bracis-19092	42	5	as	as	SCONJ
bracis-19092	42	6	follows	follow	VERB
bracis-19092	42	7	.	.	PUNCT
bracis-19092	43	1	section	section	NOUN
bracis-19092	43	2	 	 	SPACE
bracis-19092	43	3	2	2	NUM
bracis-19092	43	4	details	detail	NOUN
bracis-19092	43	5	the	the	DET
bracis-19092	43	6	datasets	dataset	NOUN
bracis-19092	43	7	used	use	VERB
bracis-19092	43	8	as	as	ADV
bracis-19092	43	9	well	well	ADV
bracis-19092	43	10	as	as	ADP
bracis-19092	43	11	the	the	DET
bracis-19092	43	12	preprocessing	preprocessing	NOUN
bracis-19092	43	13	performed	perform	VERB
bracis-19092	43	14	to	to	PART
bracis-19092	43	15	attend	attend	VERB
bracis-19092	43	16	the	the	DET
bracis-19092	43	17	proposed	propose	VERB
bracis-19092	43	18	experiments	experiment	NOUN
bracis-19092	43	19	.	.	PUNCT
bracis-19092	44	1	section	section	NOUN
bracis-19092	44	2	 	 	SPACE
bracis-19092	44	3	3	3	NUM
bracis-19092	44	4	presents	present	VERB
bracis-19092	44	5	the	the	DET
bracis-19092	44	6	speech2phone	speech2phone	NOUN
bracis-19092	44	7	method	method	NOUN
bracis-19092	44	8	and	and	CCONJ
bracis-19092	44	9	experiments	experiment	NOUN
bracis-19092	44	10	carried	carry	VERB
bracis-19092	44	11	out	out	ADP
bracis-19092	44	12	to	to	PART
bracis-19092	44	13	find	find	VERB
bracis-19092	44	14	the	the	DET
bracis-19092	44	15	best	good	ADJ
bracis-19092	44	16	model	model	NOUN
bracis-19092	44	17	trained	train	VERB
bracis-19092	44	18	with	with	ADP
bracis-19092	44	19	this	this	DET
bracis-19092	44	20	method	method	NOUN
bracis-19092	44	21	for	for	ADP
bracis-19092	44	22	the	the	DET
bracis-19092	44	23	identification	identification	NOUN
bracis-19092	44	24	of	of	ADP
bracis-19092	44	25	speakers	speaker	NOUN
bracis-19092	44	26	in	in	ADP
bracis-19092	44	27	an	an	DET
bracis-19092	44	28	open	open	ADJ
bracis-19092	44	29	-	-	PUNCT
bracis-19092	44	30	set	set	VERB
bracis-19092	44	31	scenario	scenario	NOUN
bracis-19092	44	32	.	.	PUNCT
bracis-19092	45	1	section	section	NOUN
bracis-19092	45	2	 	 	SPACE
bracis-19092	45	3	4	4	NUM
bracis-19092	45	4	compares	compare	VERB
bracis-19092	45	5	the	the	DET
bracis-19092	45	6	best	good	ADJ
bracis-19092	45	7	model	model	NOUN
bracis-19092	45	8	trained	train	VERB
bracis-19092	45	9	with	with	ADP
bracis-19092	45	10	the	the	DET
bracis-19092	45	11	speech2phone	speech2phone	NOUN
bracis-19092	45	12	method	method	NOUN
bracis-19092	45	13	with	with	ADP
bracis-19092	45	14	the	the	DET
bracis-19092	45	15	state	state	NOUN
bracis-19092	45	16	of	of	ADP
bracis-19092	45	17	the	the	DET
bracis-19092	45	18	art	art	NOUN
bracis-19092	45	19	in	in	ADP
bracis-19092	45	20	the	the	DET
bracis-19092	45	21	literature	literature	NOUN
bracis-19092	45	22	.	.	PUNCT
bracis-19092	46	1	finally	finally	ADV
bracis-19092	46	2	,	,	PUNCT
bracis-19092	46	3	sect	sect	NOUN
bracis-19092	46	4	.	.	PUNCT
bracis-19092	46	5	 	 	SPACE
bracis-19092	46	6	5	5	NUM
bracis-19092	46	7	shows	show	VERB
bracis-19092	46	8	the	the	DET
bracis-19092	46	9	conclusions	conclusion	NOUN
bracis-19092	46	10	of	of	ADP
bracis-19092	46	11	this	this	DET
bracis-19092	46	12	paper	paper	NOUN
bracis-19092	46	13	.	.	PUNCT
bracis-19092	47	1	2	2	NUM
bracis-19092	47	2	datasets	dataset	NOUN
bracis-19092	47	3	and	and	CCONJ
bracis-19092	47	4	pre	pre	ADJ
bracis-19092	47	5	-	-	ADJ
bracis-19092	47	6	processing	processing	ADJ
bracis-19092	47	7	section	section	NOUN
bracis-19092	47	8	 	 	SPACE
bracis-19092	47	9	2.1	2.1	NUM
bracis-19092	47	10	presents	present	VERB
bracis-19092	47	11	the	the	DET
bracis-19092	47	12	datasets	dataset	NOUN
bracis-19092	47	13	used	use	VERB
bracis-19092	47	14	,	,	PUNCT
bracis-19092	47	15	as	as	ADV
bracis-19092	47	16	well	well	ADV
bracis-19092	47	17	as	as	ADP
bracis-19092	47	18	describes	describe	VERB
bracis-19092	47	19	a	a	DET
bracis-19092	47	20	new	new	ADJ
bracis-19092	47	21	dataset	dataset	NOUN
bracis-19092	47	22	created	create	VERB
bracis-19092	47	23	to	to	PART
bracis-19092	47	24	attend	attend	VERB
bracis-19092	47	25	the	the	DET
bracis-19092	47	26	needs	need	NOUN
bracis-19092	47	27	of	of	ADP
bracis-19092	47	28	our	our	PRON
bracis-19092	47	29	experiments	experiment	NOUN
bracis-19092	47	30	.	.	PUNCT
bracis-19092	48	1	sections	section	NOUN
bracis-19092	48	2	 	 	SPACE
bracis-19092	48	3	2.2	2.2	NUM
bracis-19092	48	4	and	and	CCONJ
bracis-19092	48	5	2.3	2.3	NUM
bracis-19092	48	6	detail	detail	NOUN
bracis-19092	48	7	the	the	DET
bracis-19092	48	8	pre	pre	ADJ
bracis-19092	48	9	-	-	ADJ
bracis-19092	48	10	processing	processing	NOUN
bracis-19092	48	11	performed	perform	VERB
bracis-19092	48	12	on	on	ADP
bracis-19092	48	13	the	the	DET
bracis-19092	48	14	datasets	dataset	NOUN
bracis-19092	48	15	to	to	PART
bracis-19092	48	16	allow	allow	VERB
bracis-19092	48	17	the	the	DET
bracis-19092	48	18	execution	execution	NOUN
bracis-19092	48	19	of	of	ADP
bracis-19092	48	20	all	all	DET
bracis-19092	48	21	the	the	DET
bracis-19092	48	22	proposed	propose	VERB
bracis-19092	48	23	experiments	experiment	NOUN
bracis-19092	48	24	.	.	PUNCT
bracis-19092	49	1	2.1	2.1	NUM
bracis-19092	49	2	audio	audio	NOUN
bracis-19092	49	3	datasets	dataset	NOUN
bracis-19092	49	4	to	to	PART
bracis-19092	49	5	train	train	VERB
bracis-19092	49	6	our	our	PRON
bracis-19092	49	7	method	method	NOUN
bracis-19092	49	8	,	,	PUNCT
bracis-19092	49	9	it	it	PRON
bracis-19092	49	10	was	be	AUX
bracis-19092	49	11	necessary	necessary	ADJ
bracis-19092	49	12	to	to	PART
bracis-19092	49	13	build	build	VERB
bracis-19092	49	14	a	a	DET
bracis-19092	49	15	specific	specific	ADJ
bracis-19092	49	16	dataset	dataset	NOUN
bracis-19092	49	17	,	,	PUNCT
bracis-19092	49	18	which	which	PRON
bracis-19092	49	19	we	we	PRON
bracis-19092	49	20	call	call	VERB
bracis-19092	49	21	the	the	DET
bracis-19092	49	22	speech2phone	speech2phone	NOUN
bracis-19092	49	23	dataset	dataset	NOUN
bracis-19092	49	24	.	.	PUNCT
bracis-19092	50	1	this	this	DET
bracis-19092	50	2	dataset	dataset	NOUN
bracis-19092	50	3	includes	include	VERB
bracis-19092	50	4	40	40	NUM
bracis-19092	50	5	male	male	ADJ
bracis-19092	50	6	speakers	speaker	NOUN
bracis-19092	50	7	,	,	PUNCT
bracis-19092	50	8	aged	aged	ADJ
bracis-19092	50	9	between	between	ADP
bracis-19092	50	10	20	20	NUM
bracis-19092	50	11	and	and	CCONJ
bracis-19092	50	12	50	50	NUM
bracis-19092	50	13	 	 	SPACE
bracis-19092	50	14	years	year	NOUN
bracis-19092	50	15	.	.	PUNCT
bracis-19092	51	1	the	the	DET
bracis-19092	51	2	dataset	dataset	NOUN
bracis-19092	51	3	includes	include	VERB
bracis-19092	51	4	only	only	ADV
bracis-19092	51	5	portuguese	portuguese	ADJ
bracis-19092	51	6	utterances	utterance	NOUN
bracis-19092	51	7	,	,	PUNCT
bracis-19092	51	8	because	because	SCONJ
bracis-19092	51	9	that	that	PRON
bracis-19092	51	10	is	be	AUX
bracis-19092	51	11	the	the	DET
bracis-19092	51	12	native	native	ADJ
bracis-19092	51	13	language	language	NOUN
bracis-19092	51	14	of	of	ADP
bracis-19092	51	15	the	the	DET
bracis-19092	51	16	speakers	speaker	NOUN
bracis-19092	51	17	.	.	PUNCT
bracis-19092	52	1	we	we	PRON
bracis-19092	52	2	chose	choose	VERB
bracis-19092	52	3	to	to	PART
bracis-19092	52	4	focus	focus	VERB
bracis-19092	52	5	only	only	ADV
bracis-19092	52	6	on	on	ADP
bracis-19092	52	7	male	male	ADJ
bracis-19092	52	8	speakers	speaker	NOUN
bracis-19092	52	9	,	,	PUNCT
bracis-19092	52	10	because	because	SCONJ
bracis-19092	52	11	during	during	ADP
bracis-19092	52	12	the	the	DET
bracis-19092	52	13	collection	collection	NOUN
bracis-19092	52	14	phase	phase	NOUN
bracis-19092	52	15	of	of	ADP
bracis-19092	52	16	our	our	PRON
bracis-19092	52	17	dataset	dataset	NOUN
bracis-19092	52	18	we	we	PRON
bracis-19092	52	19	were	be	AUX
bracis-19092	52	20	able	able	ADJ
bracis-19092	52	21	to	to	PART
bracis-19092	52	22	collect	collect	VERB
bracis-19092	52	23	only	only	ADJ
bracis-19092	52	24	voices	voice	NOUN
bracis-19092	52	25	from	from	ADP
bracis-19092	52	26	5	5	NUM
bracis-19092	52	27	female	female	ADJ
bracis-19092	52	28	speakers	speaker	NOUN
bracis-19092	52	29	.	.	PUNCT
bracis-19092	53	1	to	to	PART
bracis-19092	53	2	collect	collect	VERB
bracis-19092	53	3	the	the	DET
bracis-19092	53	4	data	datum	NOUN
bracis-19092	53	5	,	,	PUNCT
bracis-19092	53	6	each	each	DET
bracis-19092	53	7	speaker	speaker	NOUN
bracis-19092	53	8	was	be	AUX
bracis-19092	53	9	given	give	VERB
bracis-19092	53	10	a	a	DET
bracis-19092	53	11	phonetically	phonetically	ADV
bracis-19092	53	12	balanced	balanced	ADJ
bracis-19092	53	13	text	text	NOUN
bracis-19092	53	14	,	,	PUNCT
bracis-19092	53	15	according	accord	VERB
bracis-19092	53	16	to	to	ADP
bracis-19092	53	17	the	the	DET
bracis-19092	53	18	work	work	NOUN
bracis-19092	53	19	of	of	ADP
bracis-19092	53	20	[	[	X
bracis-19092	53	21	29	29	NUM
bracis-19092	53	22	]	]	PUNCT
bracis-19092	53	23	,	,	PUNCT
bracis-19092	53	24	which	which	PRON
bracis-19092	53	25	was	be	AUX
bracis-19092	53	26	comprised	comprise	VERB
bracis-19092	53	27	of	of	ADP
bracis-19092	53	28	149	149	NUM
bracis-19092	53	29	words	word	NOUN
bracis-19092	53	30	.	.	PUNCT
bracis-19092	54	1	the	the	DET
bracis-19092	54	2	reading	reading	NOUN
bracis-19092	54	3	time	time	NOUN
bracis-19092	54	4	ranged	range	VERB
bracis-19092	54	5	from	from	ADP
bracis-19092	54	6	42	42	NUM
bracis-19092	54	7	to	to	PART
bracis-19092	54	8	95	95	NUM
bracis-19092	54	9	 	 	SPACE
bracis-19092	54	10	s	s	PROPN
bracis-19092	54	11	,	,	PUNCT
bracis-19092	54	12	totaling	total	VERB
bracis-19092	54	13	approximately	approximately	ADV
bracis-19092	54	14	43	43	NUM
bracis-19092	54	15	 	 	SPACE
bracis-19092	54	16	min	min	NOUN
bracis-19092	54	17	of	of	ADP
bracis-19092	54	18	speech	speech	NOUN
bracis-19092	54	19	.	.	PUNCT
bracis-19092	55	1	additionally	additionally	ADV
bracis-19092	55	2	,	,	PUNCT
bracis-19092	55	3	we	we	PRON
bracis-19092	55	4	asked	ask	VERB
bracis-19092	55	5	each	each	DET
bracis-19092	55	6	speaker	speaker	NOUN
bracis-19092	55	7	to	to	PART
bracis-19092	55	8	say	say	VERB
bracis-19092	55	9	the	the	DET
bracis-19092	55	10	phoneme	phoneme	NOUN
bracis-19092	55	11	/a/	/a/	NOUN
bracis-19092	55	12	for	for	ADP
bracis-19092	55	13	approximately	approximately	ADV
bracis-19092	55	14	three	three	NUM
bracis-19092	55	15	seconds	second	NOUN
bracis-19092	55	16	.	.	PUNCT
bracis-19092	56	1	the	the	DET
bracis-19092	56	2	central	central	ADJ
bracis-19092	56	3	second	second	NOUN
bracis-19092	56	4	of	of	ADP
bracis-19092	56	5	each	each	DET
bracis-19092	56	6	capture	capture	NOUN
bracis-19092	56	7	was	be	AUX
bracis-19092	56	8	extracted	extract	VERB
bracis-19092	56	9	and	and	CCONJ
bracis-19092	56	10	then	then	ADV
bracis-19092	56	11	used	use	VERB
bracis-19092	56	12	as	as	ADP
bracis-19092	56	13	expected	expect	VERB
bracis-19092	56	14	output	output	NOUN
bracis-19092	56	15	for	for	ADP
bracis-19092	56	16	the	the	DET
bracis-19092	56	17	embedding	embed	VERB
bracis-19092	56	18	models	model	NOUN
bracis-19092	56	19	.	.	PUNCT
bracis-19092	57	1	the	the	DET
bracis-19092	57	2	phoneme	phoneme	NOUN
bracis-19092	57	3	/a/	/a/	X
bracis-19092	57	4	was	be	AUX
bracis-19092	57	5	chosen	choose	VERB
bracis-19092	57	6	because	because	SCONJ
bracis-19092	57	7	it	it	PRON
bracis-19092	57	8	is	be	AUX
bracis-19092	57	9	simple	simple	ADJ
bracis-19092	57	10	to	to	PART
bracis-19092	57	11	articulate	articulate	VERB
bracis-19092	57	12	and	and	CCONJ
bracis-19092	57	13	very	very	ADV
bracis-19092	57	14	frequent	frequent	ADJ
bracis-19092	57	15	in	in	ADP
bracis-19092	57	16	the	the	DET
bracis-19092	57	17	portuguese	portuguese	ADJ
bracis-19092	57	18	language	language	NOUN
bracis-19092	57	19	.	.	PUNCT
bracis-19092	58	1	the	the	DET
bracis-19092	58	2	speech2phone	speech2phone	NOUN
bracis-19092	58	3	dataset	dataset	NOUN
bracis-19092	58	4	is	be	AUX
bracis-19092	58	5	publicly	publicly	ADV
bracis-19092	58	6	available	available	ADJ
bracis-19092	58	7	on	on	ADP
bracis-19092	58	8	the	the	DET
bracis-19092	58	9	github	github	PROPN
bracis-19092	58	10	repositoryfootnote	repositoryfootnote	VERB
bracis-19092	58	11	2	2	NUM
bracis-19092	58	12	to	to	PART
bracis-19092	58	13	evaluate	evaluate	VERB
bracis-19092	58	14	our	our	PRON
bracis-19092	58	15	method	method	NOUN
bracis-19092	58	16	and	and	CCONJ
bracis-19092	58	17	compare	compare	VERB
bracis-19092	58	18	it	it	PRON
bracis-19092	58	19	with	with	ADP
bracis-19092	58	20	related	related	ADJ
bracis-19092	58	21	works	work	NOUN
bracis-19092	58	22	,	,	PUNCT
bracis-19092	58	23	we	we	PRON
bracis-19092	58	24	use	use	VERB
bracis-19092	58	25	the	the	DET
bracis-19092	58	26	vctk	vctk	NOUN
bracis-19092	59	1	[	[	X
bracis-19092	59	2	33	33	NUM
bracis-19092	59	3	]	]	PUNCT
bracis-19092	59	4	and	and	CCONJ
bracis-19092	59	5	common	common	ADJ
bracis-19092	59	6	voice	voice	NOUN
bracis-19092	59	7	(	(	PUNCT
bracis-19092	59	8	cv	cv	PROPN
bracis-19092	59	9	)	)	PUNCT
bracis-19092	60	1	[	[	X
bracis-19092	60	2	2	2	NUM
bracis-19092	60	3	]	]	PUNCT
bracis-19092	60	4	datasets	dataset	NOUN
bracis-19092	60	5	.	.	PUNCT
bracis-19092	61	1	the	the	DET
bracis-19092	61	2	vctk	vctk	PROPN
bracis-19092	61	3	is	be	AUX
bracis-19092	61	4	an	an	DET
bracis-19092	61	5	english	english	ADJ
bracis-19092	61	6	language	language	NOUN
bracis-19092	61	7	dataset	dataset	VERB
bracis-19092	61	8	with	with	ADP
bracis-19092	61	9	a	a	DET
bracis-19092	61	10	total	total	NOUN
bracis-19092	61	11	of	of	ADP
bracis-19092	61	12	109	109	NUM
bracis-19092	61	13	speakers	speaker	NOUN
bracis-19092	61	14	.	.	PUNCT
bracis-19092	62	1	during	during	ADP
bracis-19092	62	2	its	its	PRON
bracis-19092	62	3	creation	creation	NOUN
bracis-19092	62	4	,	,	PUNCT
bracis-19092	62	5	the	the	DET
bracis-19092	62	6	109	109	NUM
bracis-19092	62	7	speakers	speaker	NOUN
bracis-19092	62	8	spoke	speak	VERB
bracis-19092	62	9	approximately	approximately	ADV
bracis-19092	62	10	400	400	NUM
bracis-19092	62	11	sentences	sentence	NOUN
bracis-19092	62	12	.	.	PUNCT
bracis-19092	63	1	the	the	DET
bracis-19092	63	2	same	same	ADJ
bracis-19092	63	3	phrases	phrase	NOUN
bracis-19092	63	4	are	be	AUX
bracis-19092	63	5	spoken	speak	VERB
bracis-19092	63	6	by	by	ADP
bracis-19092	63	7	all	all	DET
bracis-19092	63	8	speakers	speaker	NOUN
bracis-19092	63	9	.	.	PUNCT
bracis-19092	64	1	the	the	DET
bracis-19092	64	2	dataset	dataset	NOUN
bracis-19092	64	3	has	have	VERB
bracis-19092	64	4	approximately	approximately	ADV
bracis-19092	64	5	44	44	NUM
bracis-19092	64	6	 	 	SPACE
bracis-19092	64	7	h	h	NOUN
bracis-19092	64	8	of	of	ADP
bracis-19092	64	9	speech	speech	NOUN
bracis-19092	64	10	and	and	CCONJ
bracis-19092	64	11	is	be	AUX
bracis-19092	64	12	sampled	sample	VERB
bracis-19092	64	13	at	at	ADP
bracis-19092	64	14	48	48	NUM
bracis-19092	64	15	 	 	SPACE
bracis-19092	64	16	khz	khz	NOUN
bracis-19092	64	17	.	.	PUNCT
bracis-19092	65	1	common	common	ADJ
bracis-19092	65	2	voice	voice	NOUN
bracis-19092	65	3	is	be	AUX
bracis-19092	65	4	a	a	DET
bracis-19092	65	5	massively	massively	ADV
bracis-19092	65	6	multilingual	multilingual	ADJ
bracis-19092	65	7	transcribed	transcribe	VERB
bracis-19092	65	8	speech	speech	NOUN
bracis-19092	65	9	dataset	dataset	VERB
bracis-19092	65	10	for	for	ADP
bracis-19092	65	11	research	research	NOUN
bracis-19092	65	12	and	and	CCONJ
bracis-19092	65	13	development	development	NOUN
bracis-19092	65	14	of	of	ADP
bracis-19092	65	15	speech	speech	NOUN
bracis-19092	65	16	technology	technology	NOUN
bracis-19092	65	17	.	.	PUNCT
bracis-19092	66	1	cv	cv	PROPN
bracis-19092	66	2	has	have	VERB
bracis-19092	66	3	54	54	NUM
bracis-19092	66	4	subsets	subset	NOUN
bracis-19092	66	5	and	and	CCONJ
bracis-19092	66	6	each	each	PRON
bracis-19092	66	7	of	of	ADP
bracis-19092	66	8	these	these	DET
bracis-19092	66	9	sets	set	NOUN
bracis-19092	66	10	have	have	VERB
bracis-19092	66	11	data	datum	NOUN
bracis-19092	66	12	from	from	ADP
bracis-19092	66	13	a	a	DET
bracis-19092	66	14	language	language	NOUN
bracis-19092	66	15	,	,	PUNCT
bracis-19092	66	16	currently	currently	ADV
bracis-19092	66	17	the	the	DET
bracis-19092	66	18	dataset	dataset	NOUN
bracis-19092	66	19	has	have	VERB
bracis-19092	66	20	a	a	DET
bracis-19092	66	21	total	total	NOUN
bracis-19092	66	22	of	of	ADP
bracis-19092	66	23	5,671	5,671	NUM
bracis-19092	66	24	 	 	SPACE
bracis-19092	66	25	h.	h.	NOUN
bracis-19092	66	26	in	in	ADP
bracis-19092	66	27	this	this	DET
bracis-19092	66	28	work	work	NOUN
bracis-19092	66	29	,	,	PUNCT
bracis-19092	66	30	we	we	PRON
bracis-19092	66	31	use	use	VERB
bracis-19092	66	32	version	version	NOUN
bracis-19092	66	33	5.2	5.2	NUM
bracis-19092	66	34	of	of	ADP
bracis-19092	66	35	the	the	DET
bracis-19092	66	36	corpus	corpus	NOUN
bracis-19092	66	37	.	.	PUNCT
bracis-19092	67	1	2.2	2.2	NUM
bracis-19092	67	2	preprocessing	preprocessing	NOUN
bracis-19092	67	3	of	of	ADP
bracis-19092	67	4	the	the	DET
bracis-19092	67	5	speech2phone	speech2phone	NOUN
bracis-19092	67	6	dataset	dataset	NOUN
bracis-19092	67	7	to	to	PART
bracis-19092	67	8	preprocess	preprocess	VERB
bracis-19092	67	9	the	the	DET
bracis-19092	67	10	speech2phone	speech2phone	NOUN
bracis-19092	67	11	dataset	dataset	NOUN
bracis-19092	67	12	we	we	PRON
bracis-19092	67	13	extracted	extract	VERB
bracis-19092	67	14	five	five	NUM
bracis-19092	67	15	-	-	PUNCT
bracis-19092	67	16	second	second	NOUN
bracis-19092	67	17	speech	speech	NOUN
bracis-19092	67	18	segments	segment	NOUN
bracis-19092	67	19	from	from	ADP
bracis-19092	67	20	the	the	DET
bracis-19092	67	21	original	original	ADJ
bracis-19092	67	22	audio	audio	ADJ
bracis-19092	67	23	length	length	NOUN
bracis-19092	67	24	.	.	PUNCT
bracis-19092	68	1	the	the	DET
bracis-19092	68	2	five	five	NUM
bracis-19092	68	3	-	-	PUNCT
bracis-19092	68	4	second	second	NOUN
bracis-19092	68	5	window	window	NOUN
bracis-19092	68	6	was	be	AUX
bracis-19092	68	7	defined	define	VERB
bracis-19092	68	8	after	after	ADP
bracis-19092	68	9	preliminary	preliminary	ADJ
bracis-19092	68	10	experiments	experiment	NOUN
bracis-19092	68	11	,	,	PUNCT
bracis-19092	68	12	varying	vary	VERB
bracis-19092	68	13	the	the	DET
bracis-19092	68	14	input	input	NOUN
bracis-19092	68	15	duration	duration	NOUN
bracis-19092	68	16	.	.	PUNCT
bracis-19092	69	1	in	in	ADP
bracis-19092	69	2	order	order	NOUN
bracis-19092	69	3	to	to	PART
bracis-19092	69	4	maximize	maximize	VERB
bracis-19092	69	5	the	the	DET
bracis-19092	69	6	number	number	NOUN
bracis-19092	69	7	of	of	ADP
bracis-19092	69	8	speech	speech	NOUN
bracis-19092	69	9	segments	segment	NOUN
bracis-19092	69	10	,	,	PUNCT
bracis-19092	69	11	we	we	PRON
bracis-19092	69	12	used	use	VERB
bracis-19092	69	13	the	the	DET
bracis-19092	69	14	overlapping	overlap	VERB
bracis-19092	69	15	technique	technique	NOUN
bracis-19092	69	16	,	,	PUNCT
bracis-19092	69	17	in	in	ADP
bracis-19092	69	18	which	which	PRON
bracis-19092	69	19	the	the	DET
bracis-19092	69	20	window	window	NOUN
bracis-19092	69	21	was	be	AUX
bracis-19092	69	22	shifted	shift	VERB
bracis-19092	69	23	one	one	NUM
bracis-19092	69	24	second	second	NOUN
bracis-19092	69	25	each	each	DET
bracis-19092	69	26	time	time	NOUN
bracis-19092	69	27	and	and	CCONJ
bracis-19092	69	28	an	an	DET
bracis-19092	69	29	instance	instance	NOUN
bracis-19092	69	30	was	be	AUX
bracis-19092	69	31	extracted	extract	VERB
bracis-19092	69	32	during	during	ADP
bracis-19092	69	33	the	the	DET
bracis-19092	69	34	total	total	ADJ
bracis-19092	69	35	audio	audio	ADJ
bracis-19092	69	36	duration	duration	NOUN
bracis-19092	69	37	.	.	PUNCT
bracis-19092	70	1	the	the	DET
bracis-19092	70	2	main	main	ADJ
bracis-19092	70	3	dataset	dataset	NOUN
bracis-19092	70	4	resulted	result	VERB
bracis-19092	70	5	in	in	ADP
bracis-19092	70	6	2,394	2,394	NUM
bracis-19092	70	7	speech	speech	NOUN
bracis-19092	70	8	segments	segment	NOUN
bracis-19092	70	9	totaling	total	VERB
bracis-19092	70	10	3	3	NUM
bracis-19092	70	11	 	 	SPACE
bracis-19092	70	12	h	h	NOUN
bracis-19092	70	13	and	and	CCONJ
bracis-19092	70	14	23	23	NUM
bracis-19092	70	15	 	 	SPACE
bracis-19092	70	16	min	min	NOUN
bracis-19092	70	17	of	of	ADP
bracis-19092	70	18	speech	speech	NOUN
bracis-19092	70	19	.	.	PUNCT
bracis-19092	71	1	the	the	DET
bracis-19092	71	2	next	next	ADJ
bracis-19092	71	3	step	step	NOUN
bracis-19092	71	4	was	be	AUX
bracis-19092	71	5	to	to	PART
bracis-19092	71	6	divide	divide	VERB
bracis-19092	71	7	the	the	DET
bracis-19092	71	8	dataset	dataset	NOUN
bracis-19092	71	9	into	into	ADP
bracis-19092	71	10	smaller	small	ADJ
bracis-19092	71	11	sets	set	NOUN
bracis-19092	71	12	to	to	PART
bracis-19092	71	13	attend	attend	VERB
bracis-19092	71	14	the	the	DET
bracis-19092	71	15	needs	need	NOUN
bracis-19092	71	16	of	of	ADP
bracis-19092	71	17	each	each	DET
bracis-19092	71	18	proposed	propose	VERB
bracis-19092	71	19	experiment	experiment	NOUN
bracis-19092	71	20	.	.	PUNCT
bracis-19092	72	1	therefore	therefore	ADV
bracis-19092	72	2	,	,	PUNCT
bracis-19092	72	3	the	the	DET
bracis-19092	72	4	original	original	ADJ
bracis-19092	72	5	dataset	dataset	NOUN
bracis-19092	72	6	was	be	AUX
bracis-19092	72	7	divided	divide	VERB
bracis-19092	72	8	into	into	ADP
bracis-19092	72	9	four	four	NUM
bracis-19092	72	10	subsets	subset	NOUN
bracis-19092	72	11	.	.	PUNCT
bracis-19092	73	1	the	the	DET
bracis-19092	73	2	partitions	partitions	PROPN
bracis-19092	73	3	\(a_1\	\(a_1\	PROPN
bracis-19092	73	4	)	)	PUNCT
bracis-19092	73	5	and	and	CCONJ
bracis-19092	73	6	\(b_1\	\(b_1\	PROPN
bracis-19092	73	7	)	)	PUNCT
bracis-19092	73	8	each	each	PRON
bracis-19092	73	9	have	have	VERB
bracis-19092	73	10	20	20	NUM
bracis-19092	73	11	different	different	ADJ
bracis-19092	73	12	speakers	speaker	NOUN
bracis-19092	73	13	and	and	CCONJ
bracis-19092	73	14	have	have	VERB
bracis-19092	73	15	approximately	approximately	ADV
bracis-19092	73	16	1,097	1,097	NUM
bracis-19092	73	17	samples	sample	NOUN
bracis-19092	73	18	each	each	PRON
bracis-19092	73	19	.	.	PUNCT
bracis-19092	74	1	partitions	partitions	PROPN
bracis-19092	74	2	\(a_2\	\(a_2\	PROPN
bracis-19092	74	3	)	)	PUNCT
bracis-19092	74	4	and	and	CCONJ
bracis-19092	74	5	\(b_2\	\(b_2\	VERB
bracis-19092	74	6	)	)	PUNCT
bracis-19092	74	7	have	have	VERB
bracis-19092	74	8	approximately	approximately	ADV
bracis-19092	74	9	100	100	NUM
bracis-19092	74	10	speech	speech	NOUN
bracis-19092	74	11	segments	segment	NOUN
bracis-19092	74	12	each	each	PRON
bracis-19092	74	13	and	and	CCONJ
bracis-19092	74	14	have	have	VERB
bracis-19092	74	15	,	,	PUNCT
bracis-19092	74	16	respectively	respectively	ADV
bracis-19092	74	17	,	,	PUNCT
bracis-19092	74	18	speakers	speaker	NOUN
bracis-19092	74	19	from	from	ADP
bracis-19092	74	20	the	the	DET
bracis-19092	74	21	\(a_1\	\(a_1\	NOUN
bracis-19092	74	22	)	)	PUNCT
bracis-19092	74	23	and	and	CCONJ
bracis-19092	74	24	\(b_1\	\(b_1\	PROPN
bracis-19092	74	25	)	)	PUNCT
bracis-19092	74	26	partition	partition	NOUN
bracis-19092	74	27	.	.	PUNCT
bracis-19092	75	1	thus	thus	ADV
bracis-19092	75	2	,	,	PUNCT
bracis-19092	75	3	a	a	DET
bracis-19092	75	4	partitions	partition	NOUN
bracis-19092	75	5	do	do	AUX
bracis-19092	75	6	not	not	PART
bracis-19092	75	7	have	have	VERB
bracis-19092	75	8	speakers	speaker	NOUN
bracis-19092	75	9	in	in	ADP
bracis-19092	75	10	common	common	ADJ
bracis-19092	75	11	with	with	ADP
bracis-19092	75	12	b	b	PROPN
bracis-19092	75	13	partitions	partition	NOUN
bracis-19092	75	14	.	.	PUNCT
bracis-19092	76	1	2.3	2.3	NUM
bracis-19092	76	2	pre	pre	ADJ
bracis-19092	76	3	-	-	ADJ
bracis-19092	76	4	processing	processing	NOUN
bracis-19092	76	5	of	of	ADP
bracis-19092	76	6	speaker	speaker	NOUN
bracis-19092	76	7	verification	verification	NOUN
bracis-19092	76	8	datasets	dataset	NOUN
bracis-19092	76	9	we	we	PRON
bracis-19092	76	10	preprocessed	preprocesse	VERB
bracis-19092	76	11	the	the	DET
bracis-19092	76	12	vctk	vctk	NOUN
bracis-19092	76	13	and	and	CCONJ
bracis-19092	76	14	cv	cv	PROPN
bracis-19092	76	15	datasets	dataset	NOUN
bracis-19092	76	16	in	in	ADP
bracis-19092	76	17	order	order	NOUN
bracis-19092	76	18	to	to	PART
bracis-19092	76	19	use	use	VERB
bracis-19092	76	20	them	they	PRON
bracis-19092	76	21	for	for	ADP
bracis-19092	76	22	speaker	speaker	NOUN
bracis-19092	76	23	verification	verification	NOUN
bracis-19092	76	24	.	.	PUNCT
bracis-19092	77	1	for	for	ADP
bracis-19092	77	2	the	the	DET
bracis-19092	77	3	vctk	vctk	PROPN
bracis-19092	77	4	we	we	PRON
bracis-19092	77	5	chose	choose	VERB
bracis-19092	77	6	to	to	PART
bracis-19092	77	7	use	use	VERB
bracis-19092	77	8	the	the	DET
bracis-19092	77	9	entire	entire	ADJ
bracis-19092	77	10	dataset	dataset	NOUN
bracis-19092	77	11	and	and	CCONJ
bracis-19092	77	12	for	for	ADP
bracis-19092	77	13	cv	cv	PROPN
bracis-19092	77	14	we	we	PRON
bracis-19092	77	15	used	use	VERB
bracis-19092	77	16	the	the	DET
bracis-19092	77	17	test	test	NOUN
bracis-19092	77	18	subsets	subset	NOUN
bracis-19092	77	19	of	of	ADP
bracis-19092	77	20	the	the	DET
bracis-19092	77	21	dataset	dataset	NOUN
bracis-19092	77	22	in	in	ADP
bracis-19092	77	23	portuguese	portuguese	PROPN
bracis-19092	77	24	(	(	PUNCT
bracis-19092	77	25	pt	pt	PROPN
bracis-19092	77	26	)	)	PUNCT
bracis-19092	77	27	,	,	PUNCT
bracis-19092	77	28	spanish	spanish	ADJ
bracis-19092	77	29	(	(	PUNCT
bracis-19092	77	30	es	es	NOUN
bracis-19092	77	31	)	)	PUNCT
bracis-19092	77	32	and	and	CCONJ
bracis-19092	77	33	chinese	chinese	PROPN
bracis-19092	77	34	spoken	speak	VERB
bracis-19092	77	35	in	in	ADP
bracis-19092	77	36	china	china	PROPN
bracis-19092	77	37	(	(	PUNCT
bracis-19092	77	38	zh	zh	PROPN
bracis-19092	77	39	)	)	PUNCT
bracis-19092	77	40	.	.	PUNCT
bracis-19092	78	1	the	the	DET
bracis-19092	78	2	vctk	vctk	PROPN
bracis-19092	78	3	dataset	dataset	PROPN
bracis-19092	78	4	has	have	VERB
bracis-19092	78	5	,	,	PUNCT
bracis-19092	78	6	in	in	ADP
bracis-19092	78	7	many	many	ADJ
bracis-19092	78	8	of	of	ADP
bracis-19092	78	9	its	its	PRON
bracis-19092	78	10	samples	sample	NOUN
bracis-19092	78	11	,	,	PUNCT
bracis-19092	78	12	long	long	ADV
bracis-19092	78	13	initial	initial	ADJ
bracis-19092	78	14	and	and	CCONJ
bracis-19092	78	15	final	final	ADJ
bracis-19092	78	16	silences	silence	NOUN
bracis-19092	78	17	.	.	PUNCT
bracis-19092	79	1	in	in	ADP
bracis-19092	79	2	order	order	NOUN
bracis-19092	79	3	to	to	PART
bracis-19092	79	4	ensure	ensure	VERB
bracis-19092	79	5	that	that	SCONJ
bracis-19092	79	6	this	this	DET
bracis-19092	79	7	feature	feature	NOUN
bracis-19092	79	8	does	do	AUX
bracis-19092	79	9	not	not	PART
bracis-19092	79	10	affect	affect	VERB
bracis-19092	79	11	our	our	PRON
bracis-19092	79	12	analysis	analysis	NOUN
bracis-19092	79	13	,	,	PUNCT
bracis-19092	79	14	we	we	PRON
bracis-19092	79	15	chose	choose	VERB
bracis-19092	79	16	to	to	PART
bracis-19092	79	17	remove	remove	VERB
bracis-19092	79	18	these	these	DET
bracis-19092	79	19	silences	silence	NOUN
bracis-19092	79	20	.	.	PUNCT
bracis-19092	80	1	so	so	ADV
bracis-19092	80	2	,	,	PUNCT
bracis-19092	80	3	we	we	PRON
bracis-19092	80	4	applied	apply	VERB
bracis-19092	80	5	voice	voice	NOUN
bracis-19092	80	6	activity	activity	NOUN
bracis-19092	80	7	detection	detection	NOUN
bracis-19092	80	8	(	(	PUNCT
bracis-19092	80	9	vad	vad	NOUN
bracis-19092	80	10	)	)	PUNCT
bracis-19092	80	11	using	use	VERB
bracis-19092	80	12	the	the	DET
bracis-19092	80	13	python	python	NOUN
bracis-19092	80	14	implementation	implementation	NOUN
bracis-19092	80	15	of	of	ADP
bracis-19092	80	16	the	the	DET
bracis-19092	80	17	webrtcvad	webrtcvad	NOUN
bracis-19092	80	18	toolkitfootnote	toolkitfootnote	NOUN
bracis-19092	80	19	3	3	X
bracis-19092	80	20	.	.	PUNCT
bracis-19092	81	1	we	we	PRON
bracis-19092	81	2	used	use	VERB
bracis-19092	81	3	vctk	vctk	PROPN
bracis-19092	81	4	and	and	CCONJ
bracis-19092	81	5	cv	cv	PROPN
bracis-19092	81	6	to	to	PART
bracis-19092	81	7	test	test	VERB
bracis-19092	81	8	our	our	PRON
bracis-19092	81	9	models	model	NOUN
bracis-19092	81	10	.	.	PUNCT
bracis-19092	82	1	the	the	DET
bracis-19092	82	2	datasets	dataset	NOUN
bracis-19092	82	3	were	be	AUX
bracis-19092	82	4	used	use	VERB
bracis-19092	82	5	to	to	PART
bracis-19092	82	6	build	build	VERB
bracis-19092	82	7	audio	audio	ADJ
bracis-19092	82	8	pairs	pair	NOUN
bracis-19092	82	9	.	.	PUNCT
bracis-19092	83	1	the	the	DET
bracis-19092	83	2	positive	positive	ADJ
bracis-19092	83	3	class	class	NOUN
bracis-19092	83	4	is	be	AUX
bracis-19092	83	5	composed	compose	VERB
bracis-19092	83	6	from	from	ADP
bracis-19092	83	7	audio	audio	ADJ
bracis-19092	83	8	pairs	pair	NOUN
bracis-19092	83	9	from	from	ADP
bracis-19092	83	10	the	the	DET
bracis-19092	83	11	same	same	ADJ
bracis-19092	83	12	speaker	speaker	NOUN
bracis-19092	83	13	,	,	PUNCT
bracis-19092	83	14	while	while	SCONJ
bracis-19092	83	15	negative	negative	ADJ
bracis-19092	83	16	class	class	NOUN
bracis-19092	83	17	has	have	VERB
bracis-19092	83	18	pairs	pair	NOUN
bracis-19092	83	19	from	from	ADP
bracis-19092	83	20	different	different	ADJ
bracis-19092	83	21	speakers	speaker	NOUN
bracis-19092	83	22	.	.	PUNCT
bracis-19092	84	1	in	in	ADP
bracis-19092	84	2	this	this	DET
bracis-19092	84	3	scenario	scenario	NOUN
bracis-19092	84	4	,	,	PUNCT
bracis-19092	84	5	it	it	PRON
bracis-19092	84	6	is	be	AUX
bracis-19092	84	7	possible	possible	ADJ
bracis-19092	84	8	to	to	PART
bracis-19092	84	9	build	build	VERB
bracis-19092	84	10	more	more	ADJ
bracis-19092	84	11	examples	example	NOUN
bracis-19092	84	12	from	from	ADP
bracis-19092	84	13	the	the	DET
bracis-19092	84	14	negative	negative	ADJ
bracis-19092	84	15	class	class	NOUN
bracis-19092	84	16	.	.	PUNCT
bracis-19092	85	1	to	to	PART
bracis-19092	85	2	avoid	avoid	VERB
bracis-19092	85	3	class	class	NOUN
bracis-19092	85	4	imbalance	imbalance	NOUN
bracis-19092	85	5	issues	issue	NOUN
bracis-19092	85	6	,	,	PUNCT
bracis-19092	85	7	we	we	PRON
bracis-19092	85	8	defined	define	VERB
bracis-19092	85	9	the	the	DET
bracis-19092	85	10	maximum	maximum	ADJ
bracis-19092	85	11	number	number	NOUN
bracis-19092	85	12	of	of	ADP
bracis-19092	85	13	negative	negative	ADJ
bracis-19092	85	14	pairs	pair	NOUN
bracis-19092	85	15	analyzed	analyze	VERB
bracis-19092	85	16	as	as	ADP
bracis-19092	85	17	the	the	DET
bracis-19092	85	18	number	number	NOUN
bracis-19092	85	19	of	of	ADP
bracis-19092	85	20	positive	positive	ADJ
bracis-19092	85	21	samples	sample	NOUN
bracis-19092	85	22	divided	divide	VERB
bracis-19092	85	23	by	by	ADP
bracis-19092	85	24	the	the	DET
bracis-19092	85	25	number	number	NOUN
bracis-19092	85	26	of	of	ADP
bracis-19092	85	27	speakers	speaker	NOUN
bracis-19092	85	28	.	.	PUNCT
bracis-19092	86	1	we	we	PRON
bracis-19092	86	2	also	also	ADV
bracis-19092	86	3	removed	remove	VERB
bracis-19092	86	4	speakers	speaker	NOUN
bracis-19092	86	5	with	with	ADP
bracis-19092	86	6	less	less	ADJ
bracis-19092	86	7	than	than	ADP
bracis-19092	86	8	two	two	NUM
bracis-19092	86	9	samples	sample	NOUN
bracis-19092	86	10	.	.	PUNCT
bracis-19092	87	1	table	table	NOUN
bracis-19092	87	2	 	 	SPACE
bracis-19092	87	3	1	1	NUM
bracis-19092	87	4	shows	show	VERB
bracis-19092	87	5	the	the	DET
bracis-19092	87	6	number	number	NOUN
bracis-19092	87	7	of	of	ADP
bracis-19092	87	8	speakers	speaker	NOUN
bracis-19092	87	9	,	,	PUNCT
bracis-19092	87	10	language	language	NOUN
bracis-19092	87	11	and	and	CCONJ
bracis-19092	87	12	number	number	NOUN
bracis-19092	87	13	of	of	ADP
bracis-19092	87	14	positive	positive	ADJ
bracis-19092	87	15	and	and	CCONJ
bracis-19092	87	16	negative	negative	ADJ
bracis-19092	87	17	speech	speech	NOUN
bracis-19092	87	18	segments	segment	NOUN
bracis-19092	87	19	of	of	ADP
bracis-19092	87	20	the	the	DET
bracis-19092	87	21	datasets	dataset	NOUN
bracis-19092	87	22	used	use	VERB
bracis-19092	87	23	to	to	PART
bracis-19092	87	24	verify	verify	VERB
bracis-19092	87	25	the	the	DET
bracis-19092	87	26	speaker	speaker	NOUN
bracis-19092	87	27	in	in	ADP
bracis-19092	87	28	our	our	PRON
bracis-19092	87	29	experiments	experiment	NOUN
bracis-19092	87	30	.	.	PUNCT
bracis-19092	88	1	the	the	DET
bracis-19092	88	2	python	python	PROPN
bracis-19092	88	3	code	code	NOUN
bracis-19092	88	4	used	use	VERB
bracis-19092	88	5	for	for	ADP
bracis-19092	88	6	the	the	DET
bracis-19092	88	7	preprocessing	preprocessing	NOUN
bracis-19092	88	8	of	of	ADP
bracis-19092	88	9	the	the	DET
bracis-19092	88	10	dataset	dataset	NOUN
bracis-19092	88	11	,	,	PUNCT
bracis-19092	88	12	as	as	ADV
bracis-19092	88	13	well	well	ADV
bracis-19092	88	14	as	as	ADP
bracis-19092	88	15	the	the	DET
bracis-19092	88	16	link	link	NOUN
bracis-19092	88	17	to	to	PART
bracis-19092	88	18	download	download	VERB
bracis-19092	88	19	the	the	DET
bracis-19092	88	20	versions	version	NOUN
bracis-19092	88	21	of	of	ADP
bracis-19092	88	22	the	the	DET
bracis-19092	88	23	vctk	vctk	PROPN
bracis-19092	88	24	and	and	CCONJ
bracis-19092	88	25	cv	cv	PROPN
bracis-19092	88	26	datasets	dataset	NOUN
bracis-19092	88	27	used	use	VERB
bracis-19092	88	28	are	be	AUX
bracis-19092	88	29	available	available	ADJ
bracis-19092	88	30	in	in	ADP
bracis-19092	88	31	the	the	DET
bracis-19092	88	32	github	github	PROPN
bracis-19092	88	33	repositoryfootnote	repositoryfootnote	VERB
bracis-19092	88	34	4	4	NUM
bracis-19092	88	35	.	.	PUNCT
bracis-19092	88	36	table	table	NOUN
bracis-19092	88	37	1	1	NUM
bracis-19092	88	38	.	.	PUNCT
bracis-19092	88	39	preprocessed	preprocesse	VERB
bracis-19092	88	40	speaker	speaker	NOUN
bracis-19092	88	41	verification	verification	NOUN
bracis-19092	88	42	datasetsfull	datasetsfull	NOUN
bracis-19092	88	43	size	size	NOUN
bracis-19092	88	44	table	table	NOUN
bracis-19092	88	45	3	3	NUM
bracis-19092	88	46	speech2phone	speech2phone	NOUN
bracis-19092	88	47	section	section	NOUN
bracis-19092	88	48	 	 	SPACE
bracis-19092	88	49	3.1	3.1	NUM
bracis-19092	88	50	presents	present	VERB
bracis-19092	88	51	the	the	DET
bracis-19092	88	52	experiments	experiment	NOUN
bracis-19092	88	53	carried	carry	VERB
bracis-19092	88	54	out	out	ADP
bracis-19092	88	55	to	to	PART
bracis-19092	88	56	choose	choose	VERB
bracis-19092	88	57	the	the	DET
bracis-19092	88	58	best	good	ADJ
bracis-19092	88	59	model	model	NOUN
bracis-19092	88	60	trained	train	VERB
bracis-19092	88	61	with	with	ADP
bracis-19092	88	62	the	the	DET
bracis-19092	88	63	speech2phone	speech2phone	NOUN
bracis-19092	88	64	method	method	NOUN
bracis-19092	88	65	to	to	PART
bracis-19092	88	66	identify	identify	VERB
bracis-19092	88	67	speakers	speaker	NOUN
bracis-19092	88	68	in	in	ADP
bracis-19092	88	69	the	the	DET
bracis-19092	88	70	open	open	ADJ
bracis-19092	88	71	-	-	PUNCT
bracis-19092	88	72	set	set	VERB
bracis-19092	88	73	scenario	scenario	NOUN
bracis-19092	88	74	.	.	PUNCT
bracis-19092	89	1	on	on	ADP
bracis-19092	89	2	the	the	DET
bracis-19092	89	3	other	other	ADJ
bracis-19092	89	4	hand	hand	NOUN
bracis-19092	89	5	,	,	PUNCT
bracis-19092	89	6	sect	sect	NOUN
bracis-19092	89	7	.	.	PUNCT
bracis-19092	89	8	 	 	SPACE
bracis-19092	90	1	3.2	3.2	NUM
bracis-19092	90	2	presents	present	VERB
bracis-19092	90	3	the	the	DET
bracis-19092	90	4	results	result	NOUN
bracis-19092	90	5	of	of	ADP
bracis-19092	90	6	speech2phone	speech2phone	NOUN
bracis-19092	90	7	experiments	experiment	NOUN
bracis-19092	90	8	.	.	PUNCT
bracis-19092	91	1	3.1	3.1	NUM
bracis-19092	91	2	proposed	propose	VERB
bracis-19092	91	3	method	method	NOUN
bracis-19092	91	4	the	the	DET
bracis-19092	91	5	goal	goal	NOUN
bracis-19092	91	6	of	of	ADP
bracis-19092	91	7	open	open	ADJ
bracis-19092	91	8	-	-	PUNCT
bracis-19092	91	9	set	set	VERB
bracis-19092	91	10	models	model	NOUN
bracis-19092	91	11	is	be	AUX
bracis-19092	91	12	to	to	PART
bracis-19092	91	13	be	be	AUX
bracis-19092	91	14	speaker	speaker	NOUN
bracis-19092	91	15	independent	independent	ADJ
bracis-19092	91	16	;	;	PUNCT
bracis-19092	91	17	additionally	additionally	ADV
bracis-19092	91	18	,	,	PUNCT
bracis-19092	91	19	a	a	DET
bracis-19092	91	20	desirable	desirable	ADJ
bracis-19092	91	21	feature	feature	NOUN
bracis-19092	91	22	is	be	AUX
bracis-19092	91	23	to	to	PART
bracis-19092	91	24	be	be	AUX
bracis-19092	91	25	multilingual	multilingual	ADJ
bracis-19092	91	26	and	and	CCONJ
bracis-19092	91	27	text	text	NOUN
bracis-19092	91	28	independent	independent	ADJ
bracis-19092	91	29	.	.	PUNCT
bracis-19092	92	1	in	in	ADP
bracis-19092	92	2	pursuit	pursuit	NOUN
bracis-19092	92	3	of	of	ADP
bracis-19092	92	4	these	these	DET
bracis-19092	92	5	goals	goal	NOUN
bracis-19092	92	6	,	,	PUNCT
bracis-19092	92	7	we	we	PRON
bracis-19092	92	8	propose	propose	VERB
bracis-19092	92	9	that	that	SCONJ
bracis-19092	92	10	the	the	DET
bracis-19092	92	11	neural	neural	ADJ
bracis-19092	92	12	network	network	NOUN
bracis-19092	92	13	training	training	NOUN
bracis-19092	92	14	uses	use	VERB
bracis-19092	92	15	five	five	NUM
bracis-19092	92	16	second	second	ADJ
bracis-19092	92	17	speech	speech	NOUN
bracis-19092	92	18	fragments	fragment	NOUN
bracis-19092	92	19	as	as	ADP
bracis-19092	92	20	input	input	NOUN
bracis-19092	92	21	and	and	CCONJ
bracis-19092	92	22	,	,	PUNCT
bracis-19092	92	23	as	as	ADP
bracis-19092	92	24	expected	expect	VERB
bracis-19092	92	25	output	output	NOUN
bracis-19092	92	26	,	,	PUNCT
bracis-19092	92	27	the	the	DET
bracis-19092	92	28	reconstruction	reconstruction	NOUN
bracis-19092	92	29	of	of	ADP
bracis-19092	92	30	a	a	DET
bracis-19092	92	31	second	second	NOUN
bracis-19092	92	32	of	of	ADP
bracis-19092	92	33	a	a	DET
bracis-19092	92	34	simple	simple	ADJ
bracis-19092	92	35	phoneme	phoneme	NOUN
bracis-19092	92	36	(	(	PUNCT
bracis-19092	92	37	/a/	/a/	PUNCT
bracis-19092	92	38	in	in	ADP
bracis-19092	92	39	our	our	PRON
bracis-19092	92	40	experiments	experiment	NOUN
bracis-19092	92	41	)	)	PUNCT
bracis-19092	92	42	.	.	PUNCT
bracis-19092	93	1	as	as	SCONJ
bracis-19092	93	2	the	the	DET
bracis-19092	93	3	phoneme	phoneme	NOUN
bracis-19092	93	4	sounds	sound	VERB
bracis-19092	93	5	differ	differ	VERB
bracis-19092	93	6	according	accord	VERB
bracis-19092	93	7	to	to	ADP
bracis-19092	93	8	each	each	DET
bracis-19092	93	9	speaker	speaker	NOUN
bracis-19092	93	10	,	,	PUNCT
bracis-19092	93	11	a	a	DET
bracis-19092	93	12	good	good	ADJ
bracis-19092	93	13	reconstruction	reconstruction	NOUN
bracis-19092	93	14	would	would	AUX
bracis-19092	93	15	allow	allow	VERB
bracis-19092	93	16	the	the	DET
bracis-19092	93	17	model	model	NOUN
bracis-19092	93	18	to	to	PART
bracis-19092	93	19	distinguish	distinguish	VERB
bracis-19092	93	20	between	between	ADP
bracis-19092	93	21	speakers	speaker	NOUN
bracis-19092	93	22	.	.	PUNCT
bracis-19092	94	1	focusing	focus	VERB
bracis-19092	94	2	on	on	ADP
bracis-19092	94	3	a	a	DET
bracis-19092	94	4	single	single	ADJ
bracis-19092	94	5	phoneme	phoneme	NOUN
bracis-19092	94	6	allows	allow	VERB
bracis-19092	94	7	for	for	ADP
bracis-19092	94	8	dimensionality	dimensionality	NOUN
bracis-19092	94	9	reduction	reduction	NOUN
bracis-19092	94	10	in	in	ADP
bracis-19092	94	11	the	the	DET
bracis-19092	94	12	embedding	embed	VERB
bracis-19092	94	13	layer	layer	NOUN
bracis-19092	94	14	.	.	PUNCT
bracis-19092	95	1	in	in	ADP
bracis-19092	95	2	the	the	DET
bracis-19092	95	3	speech2phone	speech2phone	NOUN
bracis-19092	95	4	experiments	experiment	NOUN
bracis-19092	95	5	,	,	PUNCT
bracis-19092	95	6	the	the	DET
bracis-19092	95	7	model	model	NOUN
bracis-19092	95	8	’s	’s	PART
bracis-19092	95	9	input	input	NOUN
bracis-19092	95	10	and	and	CCONJ
bracis-19092	95	11	the	the	DET
bracis-19092	95	12	expected	expect	VERB
bracis-19092	95	13	output	output	NOUN
bracis-19092	95	14	is	be	AUX
bracis-19092	95	15	represented	represent	VERB
bracis-19092	95	16	in	in	ADP
bracis-19092	95	17	the	the	DET
bracis-19092	95	18	form	form	NOUN
bracis-19092	95	19	of	of	ADP
bracis-19092	95	20	mel	mel	PROPN
bracis-19092	95	21	frequency	frequency	PROPN
bracis-19092	95	22	cepstral	cepstral	ADJ
bracis-19092	95	23	coefficients	coefficient	NOUN
bracis-19092	95	24	(	(	PUNCT
bracis-19092	95	25	mfccs	mfccs	NOUN
bracis-19092	95	26	)	)	PUNCT
bracis-19092	96	1	[	[	X
bracis-19092	96	2	20	20	NUM
bracis-19092	96	3	]	]	PUNCT
bracis-19092	96	4	.	.	PUNCT
bracis-19092	97	1	we	we	PRON
bracis-19092	97	2	extract	extract	VERB
bracis-19092	97	3	mfccs	mfccs	NOUN
bracis-19092	97	4	using	use	VERB
bracis-19092	97	5	the	the	DET
bracis-19092	97	6	librosa	librosa	NOUN
bracis-19092	97	7	 	 	SPACE
bracis-19092	97	8	[	[	X
bracis-19092	97	9	21	21	NUM
bracis-19092	97	10	]	]	PUNCT
bracis-19092	97	11	library	library	NOUN
bracis-19092	97	12	.	.	PUNCT
bracis-19092	98	1	the	the	DET
bracis-19092	98	2	default	default	NOUN
bracis-19092	98	3	sampling	sample	VERB
bracis-19092	98	4	rate	rate	NOUN
bracis-19092	98	5	(	(	PUNCT
bracis-19092	98	6	22	22	NUM
bracis-19092	98	7	 	 	SPACE
bracis-19092	98	8	khz	khz	NOUN
bracis-19092	98	9	)	)	PUNCT
bracis-19092	98	10	was	be	AUX
bracis-19092	98	11	used	use	VERB
bracis-19092	98	12	and	and	CCONJ
bracis-19092	98	13	13	13	NUM
bracis-19092	98	14	mfccs	mfccs	NOUN
bracis-19092	98	15	(	(	PUNCT
bracis-19092	98	16	empirically	empirically	ADV
bracis-19092	98	17	defined	define	VERB
bracis-19092	98	18	)	)	PUNCT
bracis-19092	98	19	were	be	AUX
bracis-19092	98	20	extracted	extract	VERB
bracis-19092	98	21	.	.	PUNCT
bracis-19092	99	1	windowed	windowe	VERB
bracis-19092	99	2	frames	frame	NOUN
bracis-19092	99	3	were	be	AUX
bracis-19092	99	4	used	use	VERB
bracis-19092	99	5	as	as	SCONJ
bracis-19092	99	6	defined	define	VERB
bracis-19092	99	7	by	by	ADP
bracis-19092	99	8	the	the	DET
bracis-19092	99	9	default	default	NOUN
bracis-19092	99	10	parameters	parameter	NOUN
bracis-19092	99	11	in	in	ADP
bracis-19092	99	12	librosa	librosa	PROPN
bracis-19092	99	13	0.6	0.6	NUM
bracis-19092	99	14	,	,	PUNCT
bracis-19092	99	15	namely	namely	ADV
bracis-19092	99	16	,	,	PUNCT
bracis-19092	99	17	a	a	DET
bracis-19092	99	18	512	512	NUM
bracis-19092	99	19	hop	hop	NOUN
bracis-19092	99	20	length	length	NOUN
bracis-19092	99	21	and	and	CCONJ
bracis-19092	99	22	2,048	2,048	NUM
bracis-19092	99	23	as	as	ADP
bracis-19092	99	24	the	the	DET
bracis-19092	99	25	window	window	NOUN
bracis-19092	99	26	length	length	NOUN
bracis-19092	99	27	for	for	ADP
bracis-19092	99	28	the	the	DET
bracis-19092	99	29	fast	fast	ADJ
bracis-19092	99	30	fourier	fourier	NOUN
bracis-19092	99	31	transform	transform	NOUN
bracis-19092	99	32	[	[	X
bracis-19092	99	33	25	25	NUM
bracis-19092	99	34	]	]	PUNCT
bracis-19092	99	35	.	.	PUNCT
bracis-19092	100	1	in	in	ADP
bracis-19092	100	2	addition	addition	NOUN
bracis-19092	100	3	,	,	PUNCT
bracis-19092	100	4	as	as	SCONJ
bracis-19092	100	5	the	the	DET
bracis-19092	100	6	models	model	NOUN
bracis-19092	100	7	must	must	AUX
bracis-19092	100	8	reconstruct	reconstruct	VERB
bracis-19092	100	9	an	an	DET
bracis-19092	100	10	mfcc	mfcc	NOUN
bracis-19092	100	11	segment	segment	NOUN
bracis-19092	100	12	they	they	PRON
bracis-19092	100	13	were	be	AUX
bracis-19092	100	14	induced	induce	VERB
bracis-19092	100	15	using	use	VERB
bracis-19092	100	16	mean	mean	ADJ
bracis-19092	100	17	square	square	ADJ
bracis-19092	100	18	error	error	NOUN
bracis-19092	100	19	(	(	PUNCT
bracis-19092	100	20	mse	mse	NOUN
bracis-19092	100	21	)	)	PUNCT
bracis-19092	101	1	[	[	X
bracis-19092	101	2	13	13	NUM
bracis-19092	101	3	]	]	PUNCT
bracis-19092	101	4	.	.	PUNCT
bracis-19092	102	1	several	several	ADJ
bracis-19092	102	2	models	model	NOUN
bracis-19092	102	3	using	use	VERB
bracis-19092	102	4	the	the	DET
bracis-19092	102	5	speech2phone	speech2phone	NOUN
bracis-19092	102	6	method	method	NOUN
bracis-19092	102	7	,	,	PUNCT
bracis-19092	102	8	and	and	CCONJ
bracis-19092	102	9	consequently	consequently	ADV
bracis-19092	102	10	the	the	DET
bracis-19092	102	11	speech2phone	speech2phone	NOUN
bracis-19092	102	12	dataset	dataset	NOUN
bracis-19092	102	13	,	,	PUNCT
bracis-19092	102	14	have	have	AUX
bracis-19092	102	15	been	be	AUX
bracis-19092	102	16	tested	test	VERB
bracis-19092	102	17	.	.	PUNCT
bracis-19092	103	1	we	we	PRON
bracis-19092	103	2	report	report	VERB
bracis-19092	103	3	the	the	DET
bracis-19092	103	4	three	three	NUM
bracis-19092	103	5	most	most	ADV
bracis-19092	103	6	interesting	interesting	ADJ
bracis-19092	103	7	ones	one	NOUN
bracis-19092	103	8	in	in	ADP
bracis-19092	103	9	this	this	DET
bracis-19092	103	10	section	section	NOUN
bracis-19092	103	11	.	.	PUNCT
bracis-19092	104	1	to	to	PART
bracis-19092	104	2	evaluate	evaluate	VERB
bracis-19092	104	3	these	these	DET
bracis-19092	104	4	experiments	experiment	NOUN
bracis-19092	104	5	,	,	PUNCT
bracis-19092	104	6	we	we	PRON
bracis-19092	104	7	used	use	VERB
bracis-19092	104	8	the	the	DET
bracis-19092	104	9	accuracy	accuracy	NOUN
bracis-19092	104	10	of	of	ADP
bracis-19092	104	11	the	the	DET
bracis-19092	104	12	speaker	speaker	NOUN
bracis-19092	104	13	identification	identification	NOUN
bracis-19092	104	14	.	.	PUNCT
bracis-19092	105	1	to	to	PART
bracis-19092	105	2	calculate	calculate	VERB
bracis-19092	105	3	the	the	DET
bracis-19092	105	4	accuracy	accuracy	NOUN
bracis-19092	105	5	,	,	PUNCT
bracis-19092	105	6	we	we	PRON
bracis-19092	105	7	randomly	randomly	ADV
bracis-19092	105	8	chose	choose	VERB
bracis-19092	105	9	and	and	CCONJ
bracis-19092	105	10	entered	enter	VERB
bracis-19092	105	11	an	an	DET
bracis-19092	105	12	embedding	embedding	NOUN
bracis-19092	105	13	of	of	ADP
bracis-19092	105	14	a	a	DET
bracis-19092	105	15	sample	sample	NOUN
bracis-19092	105	16	of	of	ADP
bracis-19092	105	17	each	each	PRON
bracis-19092	105	18	of	of	ADP
bracis-19092	105	19	the	the	DET
bracis-19092	105	20	speakers	speaker	NOUN
bracis-19092	105	21	in	in	ADP
bracis-19092	105	22	a	a	DET
bracis-19092	105	23	database	database	NOUN
bracis-19092	105	24	.	.	PUNCT
bracis-19092	106	1	for	for	ADP
bracis-19092	106	2	the	the	DET
bracis-19092	106	3	calculation	calculation	NOUN
bracis-19092	106	4	it	it	PRON
bracis-19092	106	5	is	be	AUX
bracis-19092	106	6	necessary	necessary	ADJ
bracis-19092	106	7	to	to	PART
bracis-19092	106	8	search	search	VERB
bracis-19092	106	9	the	the	DET
bracis-19092	106	10	extracted	extract	VERB
bracis-19092	106	11	embedding	embed	VERB
bracis-19092	106	12	in	in	ADP
bracis-19092	106	13	an	an	DET
bracis-19092	106	14	embeddings	embedding	NOUN
bracis-19092	106	15	database	database	NOUN
bracis-19092	106	16	.	.	PUNCT
bracis-19092	107	1	this	this	PRON
bracis-19092	107	2	is	be	AUX
bracis-19092	107	3	done	do	VERB
bracis-19092	107	4	by	by	ADP
bracis-19092	107	5	running	run	VERB
bracis-19092	107	6	the	the	DET
bracis-19092	107	7	knn	knn	PROPN
bracis-19092	108	1	[	[	X
bracis-19092	108	2	22	22	NUM
bracis-19092	108	3	]	]	PUNCT
bracis-19092	108	4	algorithm	algorithm	NOUN
bracis-19092	108	5	with	with	ADP
bracis-19092	108	6	\(k=1\	\(k=1\	NOUN
bracis-19092	108	7	)	)	PUNCT
bracis-19092	108	8	and	and	CCONJ
bracis-19092	108	9	using	use	VERB
bracis-19092	108	10	the	the	DET
bracis-19092	108	11	euclidean	euclidean	ADJ
bracis-19092	108	12	distance	distance	NOUN
bracis-19092	108	13	.	.	PUNCT
bracis-19092	109	1	if	if	SCONJ
bracis-19092	109	2	the	the	DET
bracis-19092	109	3	embedding	embedding	NOUN
bracis-19092	109	4	of	of	ADP
bracis-19092	109	5	a	a	DET
bracis-19092	109	6	speaker	speaker	NOUN
bracis-19092	109	7	has	have	VERB
bracis-19092	109	8	a	a	DET
bracis-19092	109	9	euclidean	euclidean	ADJ
bracis-19092	109	10	distance	distance	NOUN
bracis-19092	109	11	closer	close	ADJ
bracis-19092	109	12	to	to	ADP
bracis-19092	109	13	its	its	PRON
bracis-19092	109	14	embedding	embed	VERB
bracis-19092	109	15	registered	register	VERB
bracis-19092	109	16	in	in	ADP
bracis-19092	109	17	the	the	DET
bracis-19092	109	18	database	database	NOUN
bracis-19092	109	19	than	than	ADP
bracis-19092	109	20	the	the	DET
bracis-19092	109	21	embedding	embedding	NOUN
bracis-19092	109	22	of	of	ADP
bracis-19092	109	23	all	all	DET
bracis-19092	109	24	other	other	ADJ
bracis-19092	109	25	speakers	speaker	NOUN
bracis-19092	109	26	,	,	PUNCT
bracis-19092	109	27	this	this	PRON
bracis-19092	109	28	will	will	AUX
bracis-19092	109	29	be	be	AUX
bracis-19092	109	30	counted	count	VERB
bracis-19092	109	31	as	as	ADP
bracis-19092	109	32	a	a	DET
bracis-19092	109	33	hit	hit	NOUN
bracis-19092	109	34	,	,	PUNCT
bracis-19092	109	35	otherwise	otherwise	ADV
bracis-19092	109	36	it	it	PRON
bracis-19092	109	37	will	will	AUX
bracis-19092	109	38	be	be	AUX
bracis-19092	109	39	counted	count	VERB
bracis-19092	109	40	as	as	ADP
bracis-19092	109	41	an	an	DET
bracis-19092	109	42	error	error	NOUN
bracis-19092	109	43	.	.	PUNCT
bracis-19092	110	1	in	in	ADP
bracis-19092	110	2	the	the	DET
bracis-19092	110	3	experiments	experiment	NOUN
bracis-19092	110	4	,	,	PUNCT
bracis-19092	110	5	we	we	PRON
bracis-19092	110	6	compared	compare	VERB
bracis-19092	110	7	the	the	DET
bracis-19092	110	8	performance	performance	NOUN
bracis-19092	110	9	of	of	ADP
bracis-19092	110	10	the	the	DET
bracis-19092	110	11	open	open	ADJ
bracis-19092	110	12	-	-	PUNCT
bracis-19092	110	13	set	set	VERB
bracis-19092	110	14	models	model	NOUN
bracis-19092	110	15	in	in	ADP
bracis-19092	110	16	a	a	DET
bracis-19092	110	17	closed	closed	ADJ
bracis-19092	110	18	-	-	PUNCT
bracis-19092	110	19	set	set	VERB
bracis-19092	110	20	scenario	scenario	NOUN
bracis-19092	110	21	.	.	PUNCT
bracis-19092	111	1	all	all	PRON
bracis-19092	111	2	of	of	ADP
bracis-19092	111	3	these	these	DET
bracis-19092	111	4	experiments	experiment	NOUN
bracis-19092	111	5	were	be	AUX
bracis-19092	111	6	trained	train	VERB
bracis-19092	111	7	with	with	ADP
bracis-19092	111	8	the	the	DET
bracis-19092	111	9	speech2phone	speech2phone	NOUN
bracis-19092	111	10	dataset	dataset	NOUN
bracis-19092	111	11	\(a_1\	\(a_1\	NOUN
bracis-19092	111	12	)	)	PUNCT
bracis-19092	111	13	subset	subset	NOUN
bracis-19092	111	14	,	,	PUNCT
bracis-19092	111	15	described	describe	VERB
bracis-19092	111	16	previously	previously	ADV
bracis-19092	111	17	in	in	ADP
bracis-19092	111	18	sect	sect	NOUN
bracis-19092	111	19	.	.	PUNCT
bracis-19092	111	20	 	 	SPACE
bracis-19092	112	1	2.2	2.2	NUM
bracis-19092	112	2	.	.	PUNCT
bracis-19092	113	1	therefore	therefore	ADV
bracis-19092	113	2	,	,	PUNCT
bracis-19092	113	3	the	the	DET
bracis-19092	113	4	models	model	NOUN
bracis-19092	113	5	were	be	AUX
bracis-19092	113	6	trained	train	VERB
bracis-19092	113	7	with	with	ADP
bracis-19092	113	8	only	only	ADV
bracis-19092	113	9	1,037	1,037	NUM
bracis-19092	113	10	speech	speech	NOUN
bracis-19092	113	11	segments	segment	NOUN
bracis-19092	113	12	of	of	ADP
bracis-19092	113	13	20	20	NUM
bracis-19092	113	14	different	different	ADJ
bracis-19092	113	15	speakers	speaker	NOUN
bracis-19092	113	16	,	,	PUNCT
bracis-19092	113	17	approximately	approximately	ADV
bracis-19092	113	18	1.5	1.5	NUM
bracis-19092	113	19	 	 	SPACE
bracis-19092	113	20	h	h	NOUN
bracis-19092	113	21	of	of	ADP
bracis-19092	113	22	speech	speech	NOUN
bracis-19092	113	23	.	.	PUNCT
bracis-19092	114	1	tensorflow	tensorflow	NOUN
bracis-19092	115	1	[	[	X
bracis-19092	115	2	1	1	NUM
bracis-19092	115	3	]	]	PUNCT
bracis-19092	115	4	and	and	CCONJ
bracis-19092	115	5	tflearn	tflearn	NOUN
bracis-19092	116	1	[	[	X
bracis-19092	116	2	32	32	NUM
bracis-19092	116	3	]	]	PUNCT
bracis-19092	116	4	were	be	AUX
bracis-19092	116	5	used	use	VERB
bracis-19092	116	6	to	to	PART
bracis-19092	116	7	generate	generate	VERB
bracis-19092	116	8	the	the	DET
bracis-19092	116	9	neural	neural	ADJ
bracis-19092	116	10	networks	network	NOUN
bracis-19092	116	11	for	for	ADP
bracis-19092	116	12	all	all	DET
bracis-19092	116	13	speech2phone	speech2phone	NOUN
bracis-19092	116	14	experiments	experiment	NOUN
bracis-19092	116	15	.	.	PUNCT
bracis-19092	117	1	all	all	DET
bracis-19092	117	2	models	model	NOUN
bracis-19092	117	3	were	be	AUX
bracis-19092	117	4	trained	train	VERB
bracis-19092	117	5	using	use	VERB
bracis-19092	117	6	the	the	DET
bracis-19092	117	7	adam	adam	PROPN
bracis-19092	117	8	optimizer	optimizer	NOUN
bracis-19092	117	9	[	[	X
bracis-19092	117	10	18	18	NUM
bracis-19092	117	11	]	]	PUNCT
bracis-19092	117	12	.	.	PUNCT
bracis-19092	118	1	the	the	DET
bracis-19092	118	2	convolutional	convolutional	ADJ
bracis-19092	118	3	layers	layer	NOUN
bracis-19092	118	4	in	in	ADP
bracis-19092	118	5	all	all	DET
bracis-19092	118	6	experiments	experiment	NOUN
bracis-19092	118	7	have	have	VERB
bracis-19092	118	8	a	a	DET
bracis-19092	118	9	stride	stride	NOUN
bracis-19092	118	10	of	of	ADP
bracis-19092	118	11	1	1	NUM
bracis-19092	118	12	.	.	PUNCT
bracis-19092	119	1	hyperparameters	hyperparameter	NOUN
bracis-19092	119	2	used	use	VERB
bracis-19092	119	3	to	to	PART
bracis-19092	119	4	train	train	VERB
bracis-19092	119	5	each	each	DET
bracis-19092	119	6	model	model	NOUN
bracis-19092	119	7	are	be	AUX
bracis-19092	119	8	presented	present	VERB
bracis-19092	119	9	in	in	ADP
bracis-19092	119	10	table	table	NOUN
bracis-19092	119	11	 	 	SPACE
bracis-19092	119	12	2	2	NUM
bracis-19092	119	13	.	.	PUNCT
bracis-19092	119	14	table	table	NOUN
bracis-19092	119	15	2	2	NUM
bracis-19092	119	16	.	.	PUNCT
bracis-19092	119	17	experiments	experiment	NOUN
bracis-19092	119	18	hyperparametersfull	hyperparametersfull	ADJ
bracis-19092	119	19	size	size	NOUN
bracis-19092	119	20	table	table	NOUN
bracis-19092	119	21	to	to	PART
bracis-19092	119	22	try	try	VERB
bracis-19092	119	23	to	to	PART
bracis-19092	119	24	find	find	VERB
bracis-19092	119	25	the	the	DET
bracis-19092	119	26	best	good	ADJ
bracis-19092	119	27	topology	topology	NOUN
bracis-19092	119	28	for	for	ADP
bracis-19092	119	29	the	the	DET
bracis-19092	119	30	speech2phone	speech2phone	NOUN
bracis-19092	119	31	method	method	NOUN
bracis-19092	119	32	,	,	PUNCT
bracis-19092	119	33	we	we	PRON
bracis-19092	119	34	propose	propose	VERB
bracis-19092	119	35	the	the	DET
bracis-19092	119	36	following	follow	VERB
bracis-19092	119	37	experiments	experiment	NOUN
bracis-19092	119	38	:	:	PUNCT
bracis-19092	119	39	experiment	experiment	NOUN
bracis-19092	119	40	1	1	NUM
bracis-19092	119	41	(	(	PUNCT
bracis-19092	119	42	dense	dense	ADJ
bracis-19092	119	43	):	):	PUNCT
bracis-19092	119	44	this	this	DET
bracis-19092	119	45	experiment	experiment	NOUN
bracis-19092	119	46	consists	consist	VERB
bracis-19092	119	47	of	of	ADP
bracis-19092	119	48	a	a	DET
bracis-19092	119	49	fully	fully	ADV
bracis-19092	119	50	connected	connect	VERB
bracis-19092	119	51	feed	feed	NOUN
bracis-19092	119	52	-	-	PUNCT
bracis-19092	119	53	forward	forward	NOUN
bracis-19092	119	54	neural	neural	ADJ
bracis-19092	119	55	network	network	NOUN
bracis-19092	119	56	with	with	ADP
bracis-19092	119	57	one	one	NUM
bracis-19092	119	58	hidden	hide	VERB
bracis-19092	119	59	layer	layer	NOUN
bracis-19092	119	60	for	for	ADP
bracis-19092	119	61	embedding	embed	VERB
bracis-19092	119	62	extraction	extraction	NOUN
bracis-19092	119	63	.	.	PUNCT
bracis-19092	120	1	the	the	DET
bracis-19092	120	2	architecture	architecture	NOUN
bracis-19092	120	3	of	of	ADP
bracis-19092	120	4	the	the	DET
bracis-19092	120	5	model	model	NOUN
bracis-19092	120	6	used	use	VERB
bracis-19092	120	7	in	in	ADP
bracis-19092	120	8	this	this	DET
bracis-19092	120	9	experiment	experiment	NOUN
bracis-19092	120	10	is	be	AUX
bracis-19092	120	11	shown	show	VERB
bracis-19092	120	12	in	in	ADP
bracis-19092	120	13	the	the	DET
bracis-19092	120	14	fig	fig	NOUN
bracis-19092	120	15	.	.	PUNCT
bracis-19092	120	16	 	 	SPACE
bracis-19092	121	1	1	1	X
bracis-19092	121	2	.	.	PUNCT
bracis-19092	121	3	experiment	experiment	NOUN
bracis-19092	121	4	2	2	NUM
bracis-19092	121	5	(	(	PUNCT
bracis-19092	121	6	conv	conv	ADJ
bracis-19092	121	7	):	):	PUNCT
bracis-19092	121	8	this	this	DET
bracis-19092	121	9	experiment	experiment	NOUN
bracis-19092	121	10	is	be	AUX
bracis-19092	121	11	based	base	VERB
bracis-19092	121	12	on	on	ADP
bracis-19092	121	13	experiment	experiment	NOUN
bracis-19092	121	14	1	1	NUM
bracis-19092	121	15	,	,	PUNCT
bracis-19092	121	16	but	but	CCONJ
bracis-19092	121	17	it	it	PRON
bracis-19092	121	18	uses	use	VERB
bracis-19092	121	19	a	a	DET
bracis-19092	121	20	fully	fully	ADV
bracis-19092	121	21	convolutional	convolutional	ADJ
bracis-19092	121	22	neural	neural	ADJ
bracis-19092	121	23	network	network	NOUN
bracis-19092	121	24	.	.	PUNCT
bracis-19092	122	1	this	this	DET
bracis-19092	122	2	network	network	NOUN
bracis-19092	122	3	has	have	VERB
bracis-19092	122	4	only	only	ADV
bracis-19092	122	5	convolutional	convolutional	ADJ
bracis-19092	122	6	layers	layer	NOUN
bracis-19092	122	7	,	,	PUNCT
bracis-19092	122	8	in	in	ADP
bracis-19092	122	9	addition	addition	NOUN
bracis-19092	122	10	the	the	DET
bracis-19092	122	11	decoder	decoder	NOUN
bracis-19092	122	12	uses	use	VERB
bracis-19092	122	13	upsampling	upsample	VERB
bracis-19092	122	14	layer	layer	NOUN
bracis-19092	122	15	.	.	PUNCT
bracis-19092	123	1	following	follow	VERB
bracis-19092	123	2	[	[	X
bracis-19092	123	3	8	8	NUM
bracis-19092	123	4	]	]	PUNCT
bracis-19092	123	5	we	we	PRON
bracis-19092	123	6	use	use	VERB
bracis-19092	123	7	2d	2d	NUM
bracis-19092	123	8	convolutions	convolution	NOUN
bracis-19092	123	9	.	.	PUNCT
bracis-19092	124	1	the	the	DET
bracis-19092	124	2	speech	speech	NOUN
bracis-19092	124	3	segments	segment	NOUN
bracis-19092	124	4	can	can	AUX
bracis-19092	124	5	be	be	AUX
bracis-19092	124	6	seen	see	VERB
bracis-19092	124	7	as	as	ADP
bracis-19092	124	8	a	a	DET
bracis-19092	124	9	bidimensional	bidimensional	ADJ
bracis-19092	124	10	image	image	NOUN
bracis-19092	124	11	matrix	matrix	NOUN
bracis-19092	124	12	where	where	SCONJ
bracis-19092	124	13	columns	column	NOUN
bracis-19092	124	14	are	be	AUX
bracis-19092	124	15	time	time	NOUN
bracis-19092	124	16	steps	step	NOUN
bracis-19092	124	17	and	and	CCONJ
bracis-19092	124	18	the	the	DET
bracis-19092	124	19	rows	row	NOUN
bracis-19092	124	20	are	be	AUX
bracis-19092	124	21	cepstral	cepstral	ADJ
bracis-19092	124	22	coefficients	coefficient	NOUN
bracis-19092	124	23	.	.	PUNCT
bracis-19092	125	1	convolutions	convolution	NOUN
bracis-19092	125	2	have	have	VERB
bracis-19092	125	3	the	the	DET
bracis-19092	125	4	advantage	advantage	NOUN
bracis-19092	125	5	of	of	ADP
bracis-19092	125	6	being	be	AUX
bracis-19092	125	7	translationally	translationally	ADV
bracis-19092	125	8	invariant	invariant	ADJ
bracis-19092	125	9	in	in	ADP
bracis-19092	125	10	this	this	DET
bracis-19092	125	11	matrix	matrix	NOUN
bracis-19092	125	12	.	.	PUNCT
bracis-19092	126	1	as	as	SCONJ
bracis-19092	126	2	we	we	PRON
bracis-19092	126	3	try	try	VERB
bracis-19092	126	4	to	to	PART
bracis-19092	126	5	reconstruct	reconstruct	VERB
bracis-19092	126	6	a	a	DET
bracis-19092	126	7	specific	specific	ADJ
bracis-19092	126	8	phoneme	phoneme	NOUN
bracis-19092	126	9	,	,	PUNCT
bracis-19092	126	10	this	this	PRON
bracis-19092	126	11	is	be	AUX
bracis-19092	126	12	a	a	DET
bracis-19092	126	13	desired	desire	VERB
bracis-19092	126	14	property	property	NOUN
bracis-19092	126	15	,	,	PUNCT
bracis-19092	126	16	since	since	SCONJ
bracis-19092	126	17	the	the	DET
bracis-19092	126	18	location	location	NOUN
bracis-19092	126	19	of	of	ADP
bracis-19092	126	20	the	the	DET
bracis-19092	126	21	instance	instance	NOUN
bracis-19092	126	22	may	may	AUX
bracis-19092	126	23	contain	contain	VERB
bracis-19092	126	24	the	the	DET
bracis-19092	126	25	target	target	NOUN
bracis-19092	126	26	phoneme	phoneme	NOUN
bracis-19092	126	27	may	may	AUX
bracis-19092	126	28	occur	occur	VERB
bracis-19092	126	29	in	in	ADP
bracis-19092	126	30	different	different	ADJ
bracis-19092	126	31	parts	part	NOUN
bracis-19092	126	32	of	of	ADP
bracis-19092	126	33	the	the	DET
bracis-19092	126	34	window	window	NOUN
bracis-19092	126	35	.	.	PUNCT
bracis-19092	127	1	the	the	DET
bracis-19092	127	2	model	model	NOUN
bracis-19092	127	3	architecture	architecture	NOUN
bracis-19092	127	4	used	use	VERB
bracis-19092	127	5	in	in	ADP
bracis-19092	127	6	this	this	DET
bracis-19092	127	7	experiment	experiment	NOUN
bracis-19092	127	8	is	be	AUX
bracis-19092	127	9	shown	show	VERB
bracis-19092	127	10	in	in	ADP
bracis-19092	127	11	the	the	DET
bracis-19092	127	12	fig	fig	NOUN
bracis-19092	127	13	.	.	PUNCT
bracis-19092	127	14	 	 	SPACE
bracis-19092	128	1	2	2	NUM
bracis-19092	128	2	.	.	PUNCT
bracis-19092	128	3	experiment	experiment	NOUN
bracis-19092	128	4	3	3	NUM
bracis-19092	128	5	(	(	PUNCT
bracis-19092	128	6	recurrent	recurrent	NOUN
bracis-19092	128	7	):	):	PUNCT
bracis-19092	128	8	this	this	DET
bracis-19092	128	9	experiment	experiment	NOUN
bracis-19092	128	10	is	be	AUX
bracis-19092	128	11	based	base	VERB
bracis-19092	128	12	on	on	ADP
bracis-19092	128	13	experiment	experiment	NOUN
bracis-19092	128	14	1	1	NUM
bracis-19092	128	15	,	,	PUNCT
bracis-19092	128	16	but	but	CCONJ
bracis-19092	128	17	it	it	PRON
bracis-19092	128	18	consists	consist	VERB
bracis-19092	128	19	of	of	ADP
bracis-19092	128	20	a	a	DET
bracis-19092	128	21	recurrent	recurrent	ADJ
bracis-19092	128	22	fully	fully	ADV
bracis-19092	128	23	-	-	PUNCT
bracis-19092	128	24	connected	connect	VERB
bracis-19092	128	25	neural	neural	ADJ
bracis-19092	128	26	network	network	NOUN
bracis-19092	128	27	for	for	ADP
bracis-19092	128	28	embedding	embed	VERB
bracis-19092	128	29	generation	generation	NOUN
bracis-19092	128	30	.	.	PUNCT
bracis-19092	129	1	the	the	DET
bracis-19092	129	2	five	five	NUM
bracis-19092	129	3	-	-	PUNCT
bracis-19092	129	4	second	second	NOUN
bracis-19092	129	5	window	window	NOUN
bracis-19092	129	6	is	be	AUX
bracis-19092	129	7	split	split	VERB
bracis-19092	129	8	into	into	ADP
bracis-19092	129	9	five	five	NUM
bracis-19092	129	10	segments	segment	NOUN
bracis-19092	129	11	containing	contain	VERB
bracis-19092	129	12	one	one	NUM
bracis-19092	129	13	second	second	ADJ
bracis-19092	129	14	each	each	PRON
bracis-19092	129	15	,	,	PUNCT
bracis-19092	129	16	in	in	ADP
bracis-19092	129	17	which	which	PRON
bracis-19092	129	18	the	the	DET
bracis-19092	129	19	model	model	NOUN
bracis-19092	129	20	analyzes	analyze	VERB
bracis-19092	129	21	one	one	NUM
bracis-19092	129	22	at	at	ADP
bracis-19092	129	23	a	a	DET
bracis-19092	129	24	time	time	NOUN
bracis-19092	129	25	.	.	PUNCT
bracis-19092	130	1	considering	consider	VERB
bracis-19092	130	2	that	that	SCONJ
bracis-19092	130	3	the	the	DET
bracis-19092	130	4	recurrence	recurrence	NOUN
bracis-19092	130	5	window	window	NOUN
bracis-19092	130	6	is	be	AUX
bracis-19092	130	7	small	small	ADJ
bracis-19092	130	8	,	,	PUNCT
bracis-19092	130	9	we	we	PRON
bracis-19092	130	10	used	use	VERB
bracis-19092	130	11	classical	classical	ADJ
bracis-19092	130	12	recurrence	recurrence	NOUN
bracis-19092	130	13	instead	instead	ADV
bracis-19092	130	14	of	of	ADP
bracis-19092	130	15	long	long	ADJ
bracis-19092	130	16	term	term	NOUN
bracis-19092	130	17	models	model	NOUN
bracis-19092	130	18	like	like	ADP
bracis-19092	130	19	lstm	lstm	NOUN
bracis-19092	130	20	[	[	X
bracis-19092	130	21	13	13	NUM
bracis-19092	130	22	]	]	PUNCT
bracis-19092	130	23	,	,	PUNCT
bracis-19092	130	24	since	since	SCONJ
bracis-19092	130	25	vanishing	vanish	VERB
bracis-19092	130	26	gradients	gradient	NOUN
bracis-19092	130	27	are	be	AUX
bracis-19092	130	28	less	less	ADV
bracis-19092	130	29	prone	prone	ADJ
bracis-19092	130	30	to	to	PART
bracis-19092	130	31	occur	occur	VERB
bracis-19092	130	32	.	.	PUNCT
bracis-19092	131	1	if	if	SCONJ
bracis-19092	131	2	the	the	DET
bracis-19092	131	3	phoneme	phoneme	NOUN
bracis-19092	131	4	of	of	ADP
bracis-19092	131	5	interest	interest	NOUN
bracis-19092	131	6	happens	happen	VERB
bracis-19092	131	7	in	in	ADP
bracis-19092	131	8	one	one	NUM
bracis-19092	131	9	of	of	ADP
bracis-19092	131	10	the	the	DET
bracis-19092	131	11	five	five	NUM
bracis-19092	131	12	fragments	fragment	NOUN
bracis-19092	131	13	,	,	PUNCT
bracis-19092	131	14	the	the	DET
bracis-19092	131	15	recurrence	recurrence	NOUN
bracis-19092	131	16	network	network	NOUN
bracis-19092	131	17	should	should	AUX
bracis-19092	131	18	store	store	VERB
bracis-19092	131	19	it	it	PRON
bracis-19092	131	20	in	in	ADP
bracis-19092	131	21	its	its	PRON
bracis-19092	131	22	memory	memory	NOUN
bracis-19092	131	23	before	before	ADP
bracis-19092	131	24	reconstructing	reconstruct	VERB
bracis-19092	131	25	it	it	PRON
bracis-19092	131	26	in	in	ADP
bracis-19092	131	27	the	the	DET
bracis-19092	131	28	final	final	ADJ
bracis-19092	131	29	step	step	NOUN
bracis-19092	131	30	,	,	PUNCT
bracis-19092	131	31	potentially	potentially	ADV
bracis-19092	131	32	improving	improve	VERB
bracis-19092	131	33	the	the	DET
bracis-19092	131	34	reconstruction	reconstruction	NOUN
bracis-19092	131	35	accuracy	accuracy	NOUN
bracis-19092	131	36	.	.	PUNCT
bracis-19092	132	1	the	the	DET
bracis-19092	132	2	approach	approach	NOUN
bracis-19092	132	3	reduces	reduce	VERB
bracis-19092	132	4	the	the	DET
bracis-19092	132	5	number	number	NOUN
bracis-19092	132	6	of	of	ADP
bracis-19092	132	7	learned	learn	VERB
bracis-19092	132	8	parameters	parameter	NOUN
bracis-19092	132	9	and	and	CCONJ
bracis-19092	132	10	,	,	PUNCT
bracis-19092	132	11	consequently	consequently	ADV
bracis-19092	132	12	,	,	PUNCT
bracis-19092	132	13	also	also	ADV
bracis-19092	132	14	improves	improve	VERB
bracis-19092	132	15	training	training	NOUN
bracis-19092	132	16	times	time	NOUN
bracis-19092	132	17	.	.	PUNCT
bracis-19092	133	1	the	the	DET
bracis-19092	133	2	model	model	NOUN
bracis-19092	133	3	architecture	architecture	NOUN
bracis-19092	133	4	used	use	VERB
bracis-19092	133	5	in	in	ADP
bracis-19092	133	6	this	this	DET
bracis-19092	133	7	experiment	experiment	NOUN
bracis-19092	133	8	is	be	AUX
bracis-19092	133	9	shown	show	VERB
bracis-19092	133	10	in	in	ADP
bracis-19092	133	11	the	the	DET
bracis-19092	133	12	fig	fig	NOUN
bracis-19092	133	13	.	.	PUNCT
bracis-19092	133	14	 	 	SPACE
bracis-19092	134	1	3	3	NUM
bracis-19092	134	2	.	.	X
bracis-19092	134	3	fig	fig	NOUN
bracis-19092	134	4	.	.	PUNCT
bracis-19092	135	1	1	1	X
bracis-19092	135	2	.	.	X
bracis-19092	135	3	fully	fully	ADV
bracis-19092	135	4	connected	connect	VERB
bracis-19092	135	5	shallow	shallow	ADJ
bracis-19092	135	6	neural	neural	ADJ
bracis-19092	135	7	network	network	NOUN
bracis-19092	135	8	(	(	PUNCT
bracis-19092	135	9	experiment	experiment	NOUN
bracis-19092	135	10	1	1	NUM
bracis-19092	135	11	)	)	PUNCT
bracis-19092	135	12	full	full	ADJ
bracis-19092	135	13	size	size	NOUN
bracis-19092	135	14	image	image	NOUN
bracis-19092	135	15	fig	fig	NOUN
bracis-19092	135	16	.	.	PUNCT
bracis-19092	136	1	2	2	X
bracis-19092	136	2	.	.	X
bracis-19092	136	3	fully	fully	ADV
bracis-19092	136	4	convolutional	convolutional	ADJ
bracis-19092	136	5	neural	neural	ADJ
bracis-19092	136	6	network	network	NOUN
bracis-19092	136	7	(	(	PUNCT
bracis-19092	136	8	experiment	experiment	NOUN
bracis-19092	136	9	2	2	NUM
bracis-19092	136	10	)	)	PUNCT
bracis-19092	136	11	full	full	ADJ
bracis-19092	136	12	size	size	NOUN
bracis-19092	136	13	image	image	NOUN
bracis-19092	136	14	fig	fig	NOUN
bracis-19092	136	15	.	.	PUNCT
bracis-19092	137	1	3	3	X
bracis-19092	137	2	.	.	X
bracis-19092	137	3	recurrent	recurrent	ADJ
bracis-19092	137	4	neural	neural	ADJ
bracis-19092	137	5	network	network	NOUN
bracis-19092	137	6	(	(	PUNCT
bracis-19092	137	7	experiment	experiment	NOUN
bracis-19092	137	8	3	3	NUM
bracis-19092	137	9	)	)	PUNCT
bracis-19092	137	10	full	full	ADJ
bracis-19092	137	11	size	size	NOUN
bracis-19092	137	12	image	image	NOUN
bracis-19092	137	13	3.2	3.2	NUM
bracis-19092	137	14	speech2phone	speech2phone	NOUN
bracis-19092	137	15	results	result	NOUN
bracis-19092	137	16	table	table	NOUN
bracis-19092	137	17	 	 	SPACE
bracis-19092	137	18	3	3	NUM
bracis-19092	137	19	shows	show	VERB
bracis-19092	137	20	the	the	DET
bracis-19092	137	21	results	result	NOUN
bracis-19092	137	22	of	of	ADP
bracis-19092	137	23	the	the	DET
bracis-19092	137	24	speech2phone	speech2phone	NOUN
bracis-19092	137	25	experiments	experiment	NOUN
bracis-19092	137	26	,	,	PUNCT
bracis-19092	137	27	showing	show	VERB
bracis-19092	137	28	accuracy	accuracy	NOUN
bracis-19092	137	29	obtained	obtain	VERB
bracis-19092	137	30	in	in	ADP
bracis-19092	137	31	the	the	DET
bracis-19092	137	32	open	open	ADJ
bracis-19092	137	33	-	-	PUNCT
bracis-19092	137	34	set	set	VERB
bracis-19092	137	35	scenario	scenario	NOUN
bracis-19092	137	36	,	,	PUNCT
bracis-19092	137	37	that	that	ADV
bracis-19092	137	38	is	is	ADV
bracis-19092	137	39	,	,	PUNCT
bracis-19092	137	40	evaluations	evaluation	NOUN
bracis-19092	137	41	using	use	VERB
bracis-19092	137	42	different	different	ADJ
bracis-19092	137	43	speakers	speaker	NOUN
bracis-19092	137	44	for	for	ADP
bracis-19092	137	45	training	training	NOUN
bracis-19092	137	46	and	and	CCONJ
bracis-19092	137	47	testing	test	VERB
bracis-19092	137	48	the	the	DET
bracis-19092	137	49	models	model	NOUN
bracis-19092	137	50	and	and	CCONJ
bracis-19092	137	51	closed	closed	ADJ
bracis-19092	137	52	-	-	PUNCT
bracis-19092	137	53	set	set	NOUN
bracis-19092	137	54	,	,	PUNCT
bracis-19092	137	55	where	where	SCONJ
bracis-19092	137	56	the	the	DET
bracis-19092	137	57	training	training	NOUN
bracis-19092	137	58	and	and	CCONJ
bracis-19092	137	59	test	test	NOUN
bracis-19092	137	60	speakers	speaker	NOUN
bracis-19092	137	61	are	be	AUX
bracis-19092	137	62	the	the	DET
bracis-19092	137	63	same	same	ADJ
bracis-19092	137	64	.	.	PUNCT
bracis-19092	138	1	in	in	ADP
bracis-19092	138	2	this	this	DET
bracis-19092	138	3	set	set	NOUN
bracis-19092	138	4	of	of	ADP
bracis-19092	138	5	experiments	experiment	NOUN
bracis-19092	138	6	,	,	PUNCT
bracis-19092	138	7	the	the	DET
bracis-19092	138	8	neural	neural	ADJ
bracis-19092	138	9	models	model	NOUN
bracis-19092	138	10	received	receive	VERB
bracis-19092	138	11	5	5	NUM
bracis-19092	138	12	 	 	SPACE
bracis-19092	138	13	s	s	NOUN
bracis-19092	138	14	of	of	ADP
bracis-19092	138	15	audio	audio	NOUN
bracis-19092	138	16	from	from	ADP
bracis-19092	138	17	a	a	DET
bracis-19092	138	18	specific	specific	ADJ
bracis-19092	138	19	speaker	speaker	NOUN
bracis-19092	138	20	and	and	CCONJ
bracis-19092	138	21	were	be	AUX
bracis-19092	138	22	induced	induce	VERB
bracis-19092	138	23	to	to	PART
bracis-19092	138	24	reconstruct	reconstruct	VERB
bracis-19092	138	25	1	1	NUM
bracis-19092	138	26	 	 	SPACE
bracis-19092	138	27	s	s	NOUN
bracis-19092	138	28	of	of	ADP
bracis-19092	138	29	the	the	DET
bracis-19092	138	30	phoneme	phoneme	NOUN
bracis-19092	138	31	/a/	/a/	NOUN
bracis-19092	139	1	in	in	ADP
bracis-19092	139	2	the	the	DET
bracis-19092	139	3	voice	voice	NOUN
bracis-19092	139	4	of	of	ADP
bracis-19092	139	5	that	that	DET
bracis-19092	139	6	speaker	speaker	NOUN
bracis-19092	139	7	.	.	PUNCT
bracis-19092	140	1	the	the	DET
bracis-19092	140	2	goal	goal	NOUN
bracis-19092	140	3	is	be	AUX
bracis-19092	140	4	to	to	PART
bracis-19092	140	5	obtain	obtain	VERB
bracis-19092	140	6	good	good	ADJ
bracis-19092	140	7	results	result	NOUN
bracis-19092	140	8	with	with	ADP
bracis-19092	140	9	little	little	ADJ
bracis-19092	140	10	training	training	NOUN
bracis-19092	140	11	data	datum	NOUN
bracis-19092	140	12	in	in	ADP
bracis-19092	140	13	contrast	contrast	NOUN
bracis-19092	140	14	to	to	ADP
bracis-19092	140	15	the	the	DET
bracis-19092	140	16	ge2e	ge2e	PROPN
bracis-19092	140	17	and	and	CCONJ
bracis-19092	140	18	angleproto	angleproto	NOUN
bracis-19092	140	19	loss	loss	NOUN
bracis-19092	140	20	functions	function	NOUN
bracis-19092	140	21	,	,	PUNCT
bracis-19092	140	22	which	which	PRON
bracis-19092	140	23	need	need	VERB
bracis-19092	140	24	a	a	DET
bracis-19092	140	25	large	large	ADJ
bracis-19092	140	26	data	datum	NOUN
bracis-19092	140	27	set	set	VERB
bracis-19092	140	28	for	for	ADP
bracis-19092	140	29	good	good	ADJ
bracis-19092	140	30	performance	performance	NOUN
bracis-19092	140	31	.	.	PUNCT
bracis-19092	141	1	to	to	PART
bracis-19092	141	2	conduct	conduct	VERB
bracis-19092	141	3	the	the	DET
bracis-19092	141	4	proposed	propose	VERB
bracis-19092	141	5	experiments	experiment	NOUN
bracis-19092	141	6	,	,	PUNCT
bracis-19092	141	7	samples	sample	NOUN
bracis-19092	141	8	from	from	ADP
bracis-19092	141	9	20	20	NUM
bracis-19092	141	10	speakers	speaker	NOUN
bracis-19092	141	11	were	be	AUX
bracis-19092	141	12	used	use	VERB
bracis-19092	141	13	for	for	ADP
bracis-19092	141	14	training	training	NOUN
bracis-19092	141	15	and	and	CCONJ
bracis-19092	141	16	samples	sample	NOUN
bracis-19092	141	17	from	from	ADP
bracis-19092	141	18	another	another	DET
bracis-19092	141	19	20	20	NUM
bracis-19092	141	20	speakers	speaker	NOUN
bracis-19092	141	21	for	for	ADP
bracis-19092	141	22	testing	testing	NOUN
bracis-19092	141	23	,	,	PUNCT
bracis-19092	141	24	as	as	SCONJ
bracis-19092	141	25	previously	previously	ADV
bracis-19092	141	26	discussed	discuss	VERB
bracis-19092	141	27	in	in	ADP
bracis-19092	141	28	sect	sect	NOUN
bracis-19092	141	29	.	.	PUNCT
bracis-19092	141	30	 	 	SPACE
bracis-19092	142	1	3.1	3.1	NUM
bracis-19092	142	2	.	.	PUNCT
bracis-19092	142	3	experiment	experiment	NOUN
bracis-19092	142	4	1	1	NUM
bracis-19092	142	5	used	use	VERB
bracis-19092	142	6	a	a	DET
bracis-19092	142	7	fully	fully	ADV
bracis-19092	142	8	connected	connected	ADJ
bracis-19092	142	9	neural	neural	ADJ
bracis-19092	142	10	network	network	NOUN
bracis-19092	142	11	.	.	PUNCT
bracis-19092	143	1	in	in	ADP
bracis-19092	143	2	an	an	DET
bracis-19092	143	3	open	open	ADJ
bracis-19092	143	4	-	-	PUNCT
bracis-19092	143	5	set	set	VERB
bracis-19092	143	6	scenario	scenario	NOUN
bracis-19092	143	7	,	,	PUNCT
bracis-19092	143	8	it	it	PRON
bracis-19092	143	9	obtained	obtain	VERB
bracis-19092	143	10	an	an	DET
bracis-19092	143	11	accuracy	accuracy	NOUN
bracis-19092	143	12	of	of	ADP
bracis-19092	143	13	76.96	76.96	NUM
bracis-19092	143	14	%	%	NOUN
bracis-19092	143	15	,	,	PUNCT
bracis-19092	143	16	the	the	DET
bracis-19092	143	17	best	good	ADJ
bracis-19092	143	18	accuracy	accuracy	NOUN
bracis-19092	143	19	in	in	ADP
bracis-19092	143	20	the	the	DET
bracis-19092	143	21	open	open	ADJ
bracis-19092	143	22	-	-	PUNCT
bracis-19092	143	23	set	set	VERB
bracis-19092	143	24	scenario	scenario	NOUN
bracis-19092	143	25	for	for	ADP
bracis-19092	143	26	all	all	DET
bracis-19092	143	27	experiments	experiment	NOUN
bracis-19092	143	28	.	.	PUNCT
bracis-19092	144	1	on	on	ADP
bracis-19092	144	2	the	the	DET
bracis-19092	144	3	other	other	ADJ
bracis-19092	144	4	hand	hand	NOUN
bracis-19092	144	5	,	,	PUNCT
bracis-19092	144	6	in	in	ADP
bracis-19092	144	7	the	the	DET
bracis-19092	144	8	closed	closed	ADJ
bracis-19092	144	9	-	-	PUNCT
bracis-19092	144	10	set	set	VERB
bracis-19092	144	11	scenario	scenario	NOUN
bracis-19092	144	12	,	,	PUNCT
bracis-19092	144	13	it	it	PRON
bracis-19092	144	14	obtained	obtain	VERB
bracis-19092	144	15	77.50	77.50	NUM
bracis-19092	144	16	%	%	NOUN
bracis-19092	144	17	accuracy	accuracy	NOUN
bracis-19092	144	18	.	.	PUNCT
bracis-19092	145	1	this	this	PRON
bracis-19092	145	2	was	be	AUX
bracis-19092	145	3	the	the	DET
bracis-19092	145	4	worst	bad	ADJ
bracis-19092	145	5	result	result	NOUN
bracis-19092	145	6	for	for	ADP
bracis-19092	145	7	all	all	DET
bracis-19092	145	8	closed	closed	ADJ
bracis-19092	145	9	-	-	PUNCT
bracis-19092	145	10	set	set	VERB
bracis-19092	145	11	experiments	experiment	NOUN
bracis-19092	145	12	.	.	PUNCT
bracis-19092	146	1	we	we	PRON
bracis-19092	146	2	believe	believe	VERB
bracis-19092	146	3	that	that	SCONJ
bracis-19092	146	4	the	the	DET
bracis-19092	146	5	fully	fully	ADV
bracis-19092	146	6	connected	connected	ADJ
bracis-19092	146	7	model	model	NOUN
bracis-19092	146	8	achieved	achieve	VERB
bracis-19092	146	9	the	the	DET
bracis-19092	146	10	best	good	ADJ
bracis-19092	146	11	results	result	NOUN
bracis-19092	146	12	on	on	ADP
bracis-19092	146	13	the	the	DET
bracis-19092	146	14	open	open	ADV
bracis-19092	146	15	-	-	PUNCT
bracis-19092	146	16	set	set	VERB
bracis-19092	146	17	due	due	ADP
bracis-19092	146	18	to	to	ADP
bracis-19092	146	19	the	the	DET
bracis-19092	146	20	low	low	ADJ
bracis-19092	146	21	number	number	NOUN
bracis-19092	146	22	of	of	ADP
bracis-19092	146	23	parameters	parameter	NOUN
bracis-19092	146	24	,	,	PUNCT
bracis-19092	146	25	thus	thus	ADV
bracis-19092	146	26	being	be	AUX
bracis-19092	146	27	less	less	ADV
bracis-19092	146	28	prone	prone	ADJ
bracis-19092	146	29	to	to	PART
bracis-19092	146	30	overfit	overfit	VERB
bracis-19092	146	31	.	.	PUNCT
bracis-19092	147	1	in	in	ADP
bracis-19092	147	2	addition	addition	NOUN
bracis-19092	147	3	,	,	PUNCT
bracis-19092	147	4	the	the	DET
bracis-19092	147	5	dataset	dataset	NOUN
bracis-19092	147	6	is	be	AUX
bracis-19092	147	7	very	very	ADV
bracis-19092	147	8	small	small	ADJ
bracis-19092	147	9	and	and	CCONJ
bracis-19092	147	10	in	in	ADP
bracis-19092	147	11	this	this	DET
bracis-19092	147	12	way	way	NOUN
bracis-19092	147	13	,	,	PUNCT
bracis-19092	147	14	deeper	deep	ADJ
bracis-19092	147	15	models	model	NOUN
bracis-19092	147	16	are	be	AUX
bracis-19092	147	17	very	very	ADV
bracis-19092	147	18	likely	likely	ADJ
bracis-19092	147	19	to	to	PART
bracis-19092	147	20	memorize	memorize	VERB
bracis-19092	147	21	features	feature	NOUN
bracis-19092	147	22	dependent	dependent	ADJ
bracis-19092	147	23	on	on	ADP
bracis-19092	147	24	the	the	DET
bracis-19092	147	25	speaker	speaker	NOUN
bracis-19092	147	26	or	or	CCONJ
bracis-19092	147	27	noise	noise	NOUN
bracis-19092	147	28	artifacts	artifact	NOUN
bracis-19092	147	29	.	.	PUNCT
bracis-19092	148	1	apparently	apparently	ADV
bracis-19092	148	2	,	,	PUNCT
bracis-19092	148	3	the	the	DET
bracis-19092	148	4	recurrent	recurrent	ADJ
bracis-19092	148	5	and	and	CCONJ
bracis-19092	148	6	convolutional	convolutional	ADJ
bracis-19092	148	7	models	model	NOUN
bracis-19092	148	8	specialized	specialize	VERB
bracis-19092	148	9	in	in	ADP
bracis-19092	148	10	extracting	extract	VERB
bracis-19092	148	11	particular	particular	ADJ
bracis-19092	148	12	features	feature	NOUN
bracis-19092	148	13	for	for	ADP
bracis-19092	148	14	the	the	DET
bracis-19092	148	15	speakers	speaker	NOUN
bracis-19092	148	16	in	in	ADP
bracis-19092	148	17	the	the	DET
bracis-19092	148	18	training	training	NOUN
bracis-19092	148	19	set	set	VERB
bracis-19092	148	20	in	in	ADP
bracis-19092	148	21	order	order	NOUN
bracis-19092	148	22	to	to	PART
bracis-19092	148	23	reconstruct	reconstruct	VERB
bracis-19092	148	24	the	the	DET
bracis-19092	148	25	output	output	NOUN
bracis-19092	148	26	.	.	PUNCT
bracis-19092	149	1	in	in	ADP
bracis-19092	149	2	this	this	DET
bracis-19092	149	3	way	way	NOUN
bracis-19092	149	4	,	,	PUNCT
bracis-19092	149	5	as	as	SCONJ
bracis-19092	149	6	the	the	DET
bracis-19092	149	7	deeper	deep	ADJ
bracis-19092	149	8	models	model	NOUN
bracis-19092	149	9	learn	learn	VERB
bracis-19092	149	10	specific	specific	ADJ
bracis-19092	149	11	characteristics	characteristic	NOUN
bracis-19092	149	12	of	of	ADP
bracis-19092	149	13	the	the	DET
bracis-19092	149	14	speakers	speaker	NOUN
bracis-19092	149	15	,	,	PUNCT
bracis-19092	149	16	their	their	PRON
bracis-19092	149	17	generalization	generalization	NOUN
bracis-19092	149	18	for	for	ADP
bracis-19092	149	19	new	new	ADJ
bracis-19092	149	20	speakers	speaker	NOUN
bracis-19092	149	21	is	be	AUX
bracis-19092	149	22	impaired	impair	VERB
bracis-19092	149	23	,	,	PUNCT
bracis-19092	149	24	having	have	VERB
bracis-19092	149	25	good	good	ADJ
bracis-19092	149	26	performance	performance	NOUN
bracis-19092	149	27	in	in	ADP
bracis-19092	149	28	the	the	DET
bracis-19092	149	29	closed	close	VERB
bracis-19092	149	30	-	-	PUNCT
bracis-19092	149	31	set	set	VERB
bracis-19092	149	32	scenario	scenario	NOUN
bracis-19092	149	33	and	and	CCONJ
bracis-19092	149	34	a	a	DET
bracis-19092	149	35	drop	drop	NOUN
bracis-19092	149	36	in	in	ADP
bracis-19092	149	37	performance	performance	NOUN
bracis-19092	149	38	in	in	ADP
bracis-19092	149	39	the	the	DET
bracis-19092	149	40	open	open	ADJ
bracis-19092	149	41	-	-	PUNCT
bracis-19092	149	42	set	set	NOUN
bracis-19092	149	43	.	.	PUNCT
bracis-19092	150	1	table	table	NOUN
bracis-19092	150	2	3	3	NUM
bracis-19092	150	3	.	.	PUNCT
bracis-19092	151	1	results	result	NOUN
bracis-19092	151	2	of	of	ADP
bracis-19092	151	3	speech2phone	speech2phone	NUM
bracis-19092	151	4	experimentsfull	experimentsfull	ADJ
bracis-19092	151	5	size	size	NOUN
bracis-19092	151	6	table	table	NOUN
bracis-19092	151	7	experiment	experiment	NOUN
bracis-19092	151	8	2	2	NUM
bracis-19092	151	9	,	,	PUNCT
bracis-19092	151	10	which	which	PRON
bracis-19092	151	11	explored	explore	VERB
bracis-19092	151	12	the	the	DET
bracis-19092	151	13	use	use	NOUN
bracis-19092	151	14	of	of	ADP
bracis-19092	151	15	a	a	DET
bracis-19092	151	16	fully	fully	ADV
bracis-19092	151	17	convolutional	convolutional	ADJ
bracis-19092	151	18	neural	neural	ADJ
bracis-19092	151	19	network	network	NOUN
bracis-19092	151	20	for	for	ADP
bracis-19092	151	21	generating	generate	VERB
bracis-19092	151	22	embeddings	embedding	NOUN
bracis-19092	151	23	,	,	PUNCT
bracis-19092	151	24	presented	present	VERB
bracis-19092	151	25	the	the	DET
bracis-19092	151	26	second	second	ADJ
bracis-19092	151	27	best	good	ADJ
bracis-19092	151	28	result	result	NOUN
bracis-19092	151	29	(	(	PUNCT
bracis-19092	151	30	64.43	64.43	NUM
bracis-19092	151	31	%	%	NOUN
bracis-19092	151	32	)	)	PUNCT
bracis-19092	151	33	in	in	ADP
bracis-19092	151	34	the	the	DET
bracis-19092	151	35	open	open	ADJ
bracis-19092	151	36	-	-	PUNCT
bracis-19092	151	37	set	set	VERB
bracis-19092	151	38	scenario	scenario	NOUN
bracis-19092	151	39	.	.	PUNCT
bracis-19092	152	1	on	on	ADP
bracis-19092	152	2	the	the	DET
bracis-19092	152	3	other	other	ADJ
bracis-19092	152	4	hand	hand	NOUN
bracis-19092	152	5	,	,	PUNCT
bracis-19092	152	6	in	in	ADP
bracis-19092	152	7	the	the	DET
bracis-19092	152	8	closed	closed	ADJ
bracis-19092	152	9	-	-	PUNCT
bracis-19092	152	10	set	set	NOUN
bracis-19092	152	11	,	,	PUNCT
bracis-19092	152	12	the	the	DET
bracis-19092	152	13	model	model	NOUN
bracis-19092	152	14	achieved	achieve	VERB
bracis-19092	152	15	the	the	DET
bracis-19092	152	16	best	good	ADJ
bracis-19092	152	17	result	result	NOUN
bracis-19092	152	18	obtaining	obtain	VERB
bracis-19092	152	19	an	an	DET
bracis-19092	152	20	accuracy	accuracy	NOUN
bracis-19092	152	21	of	of	ADP
bracis-19092	152	22	100	100	NUM
bracis-19092	152	23	%	%	NOUN
bracis-19092	152	24	.	.	PUNCT
bracis-19092	153	1	translational	translational	ADJ
bracis-19092	153	2	invariance	invariance	NOUN
bracis-19092	153	3	is	be	AUX
bracis-19092	153	4	a	a	DET
bracis-19092	153	5	useful	useful	ADJ
bracis-19092	153	6	feature	feature	NOUN
bracis-19092	153	7	from	from	ADP
bracis-19092	153	8	convolutional	convolutional	ADJ
bracis-19092	153	9	networks	network	NOUN
bracis-19092	153	10	and	and	CCONJ
bracis-19092	153	11	can	can	AUX
bracis-19092	153	12	be	be	AUX
bracis-19092	153	13	used	use	VERB
bracis-19092	153	14	to	to	PART
bracis-19092	153	15	detect	detect	VERB
bracis-19092	153	16	specific	specific	ADJ
bracis-19092	153	17	phonemes	phoneme	NOUN
bracis-19092	153	18	independently	independently	ADV
bracis-19092	153	19	of	of	ADP
bracis-19092	153	20	where	where	SCONJ
bracis-19092	153	21	their	their	PRON
bracis-19092	153	22	occur	occur	NOUN
bracis-19092	153	23	in	in	ADP
bracis-19092	153	24	the	the	DET
bracis-19092	153	25	audio	audio	NOUN
bracis-19092	153	26	.	.	PUNCT
bracis-19092	154	1	we	we	PRON
bracis-19092	154	2	believe	believe	VERB
bracis-19092	154	3	that	that	SCONJ
bracis-19092	154	4	convolutional	convolutional	ADJ
bracis-19092	154	5	models	model	NOUN
bracis-19092	154	6	are	be	AUX
bracis-19092	154	7	suitable	suitable	ADJ
bracis-19092	154	8	for	for	ADP
bracis-19092	154	9	this	this	DET
bracis-19092	154	10	task	task	NOUN
bracis-19092	154	11	;	;	PUNCT
bracis-19092	154	12	however	however	ADV
bracis-19092	154	13	,	,	PUNCT
bracis-19092	154	14	due	due	ADP
bracis-19092	154	15	to	to	ADP
bracis-19092	154	16	the	the	DET
bracis-19092	154	17	low	low	ADJ
bracis-19092	154	18	amount	amount	NOUN
bracis-19092	154	19	of	of	ADP
bracis-19092	154	20	data	datum	NOUN
bracis-19092	154	21	the	the	DET
bracis-19092	154	22	models	model	NOUN
bracis-19092	154	23	learn	learn	VERB
bracis-19092	154	24	characteristics	characteristic	NOUN
bracis-19092	154	25	dependent	dependent	ADJ
bracis-19092	154	26	on	on	ADP
bracis-19092	154	27	speakers	speaker	NOUN
bracis-19092	154	28	,	,	PUNCT
bracis-19092	154	29	which	which	PRON
bracis-19092	154	30	leaves	leave	VERB
bracis-19092	154	31	this	this	DET
bracis-19092	154	32	model	model	NOUN
bracis-19092	154	33	at	at	ADP
bracis-19092	154	34	a	a	DET
bracis-19092	154	35	disadvantage	disadvantage	NOUN
bracis-19092	154	36	in	in	ADP
bracis-19092	154	37	open	open	ADJ
bracis-19092	154	38	-	-	PUNCT
bracis-19092	154	39	set	set	VERB
bracis-19092	154	40	scenario	scenario	NOUN
bracis-19092	154	41	,	,	PUNCT
bracis-19092	154	42	having	have	VERB
bracis-19092	154	43	a	a	DET
bracis-19092	154	44	worse	bad	ADJ
bracis-19092	154	45	performance	performance	NOUN
bracis-19092	154	46	than	than	ADP
bracis-19092	154	47	experiment	experiment	NOUN
bracis-19092	154	48	1	1	NUM
bracis-19092	154	49	.	.	PUNCT
bracis-19092	154	50	experiment	experiment	NOUN
bracis-19092	154	51	3	3	NUM
bracis-19092	154	52	explored	explore	VERB
bracis-19092	154	53	the	the	DET
bracis-19092	154	54	use	use	NOUN
bracis-19092	154	55	of	of	ADP
bracis-19092	154	56	a	a	DET
bracis-19092	154	57	recurrent	recurrent	ADJ
bracis-19092	154	58	neural	neural	ADJ
bracis-19092	154	59	network	network	NOUN
bracis-19092	154	60	with	with	ADP
bracis-19092	154	61	fully	fully	ADV
bracis-19092	154	62	connected	connected	ADJ
bracis-19092	154	63	layers	layer	NOUN
bracis-19092	154	64	for	for	ADP
bracis-19092	154	65	generating	generate	VERB
bracis-19092	154	66	embeddings	embedding	NOUN
bracis-19092	154	67	,	,	PUNCT
bracis-19092	154	68	resulting	result	VERB
bracis-19092	154	69	in	in	ADP
bracis-19092	154	70	the	the	DET
bracis-19092	154	71	worst	bad	ADJ
bracis-19092	154	72	accuracy	accuracy	NOUN
bracis-19092	154	73	in	in	ADP
bracis-19092	154	74	the	the	DET
bracis-19092	154	75	open	open	ADJ
bracis-19092	154	76	-	-	PUNCT
bracis-19092	154	77	set	set	VERB
bracis-19092	154	78	scenario	scenario	NOUN
bracis-19092	154	79	(	(	PUNCT
bracis-19092	154	80	50.28	50.28	NUM
bracis-19092	154	81	%	%	NOUN
bracis-19092	154	82	)	)	PUNCT
bracis-19092	154	83	and	and	CCONJ
bracis-19092	154	84	the	the	DET
bracis-19092	154	85	second	second	ADJ
bracis-19092	154	86	worst	bad	ADJ
bracis-19092	154	87	in	in	ADP
bracis-19092	154	88	the	the	DET
bracis-19092	154	89	closed	closed	ADJ
bracis-19092	154	90	-	-	PUNCT
bracis-19092	154	91	set	set	VERB
bracis-19092	154	92	scenario	scenario	NOUN
bracis-19092	154	93	(	(	PUNCT
bracis-19092	154	94	88.75	88.75	NUM
bracis-19092	154	95	%	%	NOUN
bracis-19092	154	96	)	)	PUNCT
bracis-19092	154	97	.	.	PUNCT
bracis-19092	155	1	recurrent	recurrent	ADJ
bracis-19092	155	2	models	model	NOUN
bracis-19092	155	3	can	can	AUX
bracis-19092	155	4	perform	perform	VERB
bracis-19092	155	5	a	a	DET
bracis-19092	155	6	more	more	ADV
bracis-19092	155	7	detailed	detailed	ADJ
bracis-19092	155	8	analysis	analysis	NOUN
bracis-19092	155	9	on	on	ADP
bracis-19092	155	10	the	the	DET
bracis-19092	155	11	input	input	NOUN
bracis-19092	155	12	audio	audio	NOUN
bracis-19092	155	13	,	,	PUNCT
bracis-19092	155	14	searching	search	VERB
bracis-19092	155	15	patterns	pattern	NOUN
bracis-19092	155	16	in	in	ADP
bracis-19092	155	17	one	one	NUM
bracis-19092	155	18	input	input	NOUN
bracis-19092	155	19	fragment	fragment	NOUN
bracis-19092	155	20	at	at	ADP
bracis-19092	155	21	a	a	DET
bracis-19092	155	22	time	time	NOUN
bracis-19092	155	23	.	.	PUNCT
bracis-19092	156	1	however	however	ADV
bracis-19092	156	2	,	,	PUNCT
bracis-19092	156	3	a	a	DET
bracis-19092	156	4	problem	problem	NOUN
bracis-19092	156	5	may	may	AUX
bracis-19092	156	6	happen	happen	VERB
bracis-19092	156	7	when	when	SCONJ
bracis-19092	156	8	this	this	DET
bracis-19092	156	9	pattern	pattern	NOUN
bracis-19092	156	10	is	be	AUX
bracis-19092	156	11	split	split	VERB
bracis-19092	156	12	in	in	ADP
bracis-19092	156	13	a	a	DET
bracis-19092	156	14	different	different	ADJ
bracis-19092	156	15	analysis	analysis	NOUN
bracis-19092	156	16	window	window	NOUN
bracis-19092	156	17	.	.	PUNCT
bracis-19092	157	1	the	the	DET
bracis-19092	157	2	simple	simple	ADJ
bracis-19092	157	3	recurrent	recurrent	ADJ
bracis-19092	157	4	model	model	NOUN
bracis-19092	157	5	tested	test	VERB
bracis-19092	157	6	could	could	AUX
bracis-19092	157	7	not	not	PART
bracis-19092	157	8	overcome	overcome	VERB
bracis-19092	157	9	this	this	DET
bracis-19092	157	10	issue	issue	NOUN
bracis-19092	157	11	.	.	PUNCT
bracis-19092	158	1	we	we	PRON
bracis-19092	158	2	also	also	ADV
bracis-19092	158	3	evaluated	evaluate	VERB
bracis-19092	158	4	,	,	PUNCT
bracis-19092	158	5	in	in	ADP
bracis-19092	158	6	preliminary	preliminary	ADJ
bracis-19092	158	7	experiments	experiment	NOUN
bracis-19092	158	8	,	,	PUNCT
bracis-19092	158	9	a	a	DET
bracis-19092	158	10	recurrent	recurrent	ADJ
bracis-19092	158	11	lstm	lstm	NOUN
bracis-19092	158	12	network	network	NOUN
bracis-19092	158	13	,	,	PUNCT
bracis-19092	158	14	but	but	CCONJ
bracis-19092	158	15	it	it	PRON
bracis-19092	158	16	did	do	AUX
bracis-19092	158	17	not	not	PART
bracis-19092	158	18	perform	perform	VERB
bracis-19092	158	19	as	as	ADV
bracis-19092	158	20	well	well	ADV
bracis-19092	158	21	as	as	ADP
bracis-19092	158	22	simple	simple	ADJ
bracis-19092	158	23	recurrence	recurrence	NOUN
bracis-19092	158	24	,	,	PUNCT
bracis-19092	158	25	as	as	SCONJ
bracis-19092	158	26	there	there	PRON
bracis-19092	158	27	is	be	VERB
bracis-19092	158	28	no	no	DET
bracis-19092	158	29	need	need	NOUN
bracis-19092	158	30	for	for	ADP
bracis-19092	158	31	long	long	ADJ
bracis-19092	158	32	-	-	PUNCT
bracis-19092	158	33	term	term	NOUN
bracis-19092	158	34	memory	memory	NOUN
bracis-19092	158	35	in	in	ADP
bracis-19092	158	36	a	a	DET
bracis-19092	158	37	5	5	NUM
bracis-19092	158	38	-	-	PUNCT
bracis-19092	158	39	step	step	NOUN
bracis-19092	158	40	analysis	analysis	NOUN
bracis-19092	158	41	process	process	NOUN
bracis-19092	158	42	.	.	PUNCT
bracis-19092	159	1	in	in	ADP
bracis-19092	159	2	the	the	DET
bracis-19092	159	3	open	open	ADJ
bracis-19092	159	4	-	-	PUNCT
bracis-19092	159	5	set	set	VERB
bracis-19092	159	6	scenario	scenario	NOUN
bracis-19092	159	7	,	,	PUNCT
bracis-19092	159	8	the	the	DET
bracis-19092	159	9	superiority	superiority	NOUN
bracis-19092	159	10	of	of	ADP
bracis-19092	159	11	the	the	DET
bracis-19092	159	12	fully	fully	ADV
bracis-19092	159	13	connected	connected	ADJ
bracis-19092	159	14	model	model	NOUN
bracis-19092	159	15	(	(	PUNCT
bracis-19092	159	16	experiment	experiment	NOUN
bracis-19092	159	17	1	1	NUM
bracis-19092	159	18	)	)	PUNCT
bracis-19092	159	19	is	be	AUX
bracis-19092	159	20	noticeable	noticeable	ADJ
bracis-19092	159	21	.	.	PUNCT
bracis-19092	160	1	this	this	PRON
bracis-19092	160	2	is	be	AUX
bracis-19092	160	3	because	because	SCONJ
bracis-19092	160	4	they	they	PRON
bracis-19092	160	5	are	be	AUX
bracis-19092	160	6	able	able	ADJ
bracis-19092	160	7	to	to	PART
bracis-19092	160	8	generalize	generalize	VERB
bracis-19092	160	9	better	well	ADV
bracis-19092	160	10	for	for	ADP
bracis-19092	160	11	new	new	ADJ
bracis-19092	160	12	speakers	speaker	NOUN
bracis-19092	160	13	and	and	CCONJ
bracis-19092	160	14	have	have	AUX
bracis-19092	160	15	proven	prove	VERB
bracis-19092	160	16	to	to	PART
bracis-19092	160	17	be	be	AUX
bracis-19092	160	18	less	less	ADV
bracis-19092	160	19	prone	prone	ADJ
bracis-19092	160	20	to	to	ADP
bracis-19092	160	21	overfitting	overfitte	VERB
bracis-19092	160	22	for	for	ADP
bracis-19092	160	23	the	the	DET
bracis-19092	160	24	task	task	NOUN
bracis-19092	160	25	.	.	PUNCT
bracis-19092	161	1	in	in	ADP
bracis-19092	161	2	addition	addition	NOUN
bracis-19092	161	3	,	,	PUNCT
bracis-19092	161	4	the	the	DET
bracis-19092	161	5	fully	fully	ADV
bracis-19092	161	6	connected	connected	ADJ
bracis-19092	161	7	model	model	NOUN
bracis-19092	161	8	was	be	AUX
bracis-19092	161	9	able	able	ADJ
bracis-19092	161	10	to	to	PART
bracis-19092	161	11	maintain	maintain	VERB
bracis-19092	161	12	very	very	ADV
bracis-19092	161	13	close	close	ADJ
bracis-19092	161	14	accuracy	accuracy	NOUN
bracis-19092	161	15	in	in	ADP
bracis-19092	161	16	the	the	DET
bracis-19092	161	17	closed	closed	ADJ
bracis-19092	161	18	-	-	PUNCT
bracis-19092	161	19	set	set	VERB
bracis-19092	161	20	scenario	scenario	NOUN
bracis-19092	161	21	(	(	PUNCT
bracis-19092	161	22	77.50	77.50	NUM
bracis-19092	161	23	%	%	NOUN
bracis-19092	161	24	)	)	PUNCT
bracis-19092	161	25	,	,	PUNCT
bracis-19092	161	26	compared	compare	VERB
bracis-19092	161	27	to	to	ADP
bracis-19092	161	28	the	the	DET
bracis-19092	161	29	open	open	ADJ
bracis-19092	161	30	-	-	PUNCT
bracis-19092	161	31	set	set	VERB
bracis-19092	161	32	scenario	scenario	NOUN
bracis-19092	161	33	(	(	PUNCT
bracis-19092	161	34	76.96	76.96	NUM
bracis-19092	161	35	%	%	NOUN
bracis-19092	161	36	)	)	PUNCT
bracis-19092	161	37	,	,	PUNCT
bracis-19092	161	38	while	while	SCONJ
bracis-19092	161	39	the	the	DET
bracis-19092	161	40	other	other	ADJ
bracis-19092	161	41	models	model	NOUN
bracis-19092	161	42	had	have	VERB
bracis-19092	161	43	a	a	DET
bracis-19092	161	44	great	great	ADJ
bracis-19092	161	45	drop	drop	NOUN
bracis-19092	161	46	in	in	ADP
bracis-19092	161	47	performance	performance	NOUN
bracis-19092	161	48	.	.	PUNCT
bracis-19092	162	1	on	on	ADP
bracis-19092	162	2	the	the	DET
bracis-19092	162	3	other	other	ADJ
bracis-19092	162	4	hand	hand	NOUN
bracis-19092	162	5	,	,	PUNCT
bracis-19092	162	6	the	the	DET
bracis-19092	162	7	fully	fully	ADV
bracis-19092	162	8	convolutional	convolutional	ADJ
bracis-19092	162	9	model	model	NOUN
bracis-19092	162	10	(	(	PUNCT
bracis-19092	162	11	experiment	experiment	NOUN
bracis-19092	162	12	2	2	NUM
bracis-19092	162	13	)	)	PUNCT
bracis-19092	162	14	also	also	ADV
bracis-19092	162	15	showed	show	VERB
bracis-19092	162	16	promising	promising	ADJ
bracis-19092	162	17	results	result	NOUN
bracis-19092	162	18	with	with	ADP
bracis-19092	162	19	a	a	DET
bracis-19092	162	20	performance	performance	NOUN
bracis-19092	162	21	12.53	12.53	NUM
bracis-19092	162	22	%	%	NOUN
bracis-19092	162	23	below	below	ADP
bracis-19092	162	24	the	the	DET
bracis-19092	162	25	fully	fully	ADV
bracis-19092	162	26	connected	connect	VERB
bracis-19092	162	27	model	model	NOUN
bracis-19092	162	28	.	.	PUNCT
bracis-19092	163	1	4	4	NUM
bracis-19092	163	2	application	application	NOUN
bracis-19092	163	3	:	:	PUNCT
bracis-19092	163	4	speaker	speaker	NOUN
bracis-19092	163	5	verification	verification	NOUN
bracis-19092	163	6	section	section	PROPN
bracis-19092	163	7	 	 	SPACE
bracis-19092	163	8	4.1	4.1	NUM
bracis-19092	163	9	presents	present	VERB
bracis-19092	163	10	the	the	DET
bracis-19092	163	11	proposed	propose	VERB
bracis-19092	163	12	experiments	experiment	NOUN
bracis-19092	163	13	to	to	PART
bracis-19092	163	14	compare	compare	VERB
bracis-19092	163	15	our	our	PRON
bracis-19092	163	16	method	method	NOUN
bracis-19092	163	17	with	with	ADP
bracis-19092	163	18	the	the	DET
bracis-19092	163	19	state	state	NOUN
bracis-19092	163	20	of	of	ADP
bracis-19092	163	21	the	the	DET
bracis-19092	163	22	art	art	NOUN
bracis-19092	163	23	in	in	ADP
bracis-19092	163	24	the	the	DET
bracis-19092	163	25	literature	literature	NOUN
bracis-19092	163	26	.	.	PUNCT
bracis-19092	164	1	on	on	ADP
bracis-19092	164	2	the	the	DET
bracis-19092	164	3	other	other	ADJ
bracis-19092	164	4	hand	hand	NOUN
bracis-19092	164	5	,	,	PUNCT
bracis-19092	164	6	sect	sect	NOUN
bracis-19092	164	7	.	.	PUNCT
bracis-19092	164	8	 	 	SPACE
bracis-19092	165	1	4.2	4.2	NUM
bracis-19092	165	2	presents	present	VERB
bracis-19092	165	3	the	the	DET
bracis-19092	165	4	results	result	NOUN
bracis-19092	165	5	of	of	ADP
bracis-19092	165	6	speaker	speaker	NOUN
bracis-19092	165	7	verification	verification	NOUN
bracis-19092	165	8	experiments	experiment	NOUN
bracis-19092	165	9	.	.	PUNCT
bracis-19092	165	10	4.1	4.1	NUM
bracis-19092	165	11	speaker	speaker	NOUN
bracis-19092	165	12	verification	verification	NOUN
bracis-19092	165	13	experiments	experiment	NOUN
bracis-19092	165	14	an	an	DET
bracis-19092	165	15	important	important	ADJ
bracis-19092	165	16	question	question	NOUN
bracis-19092	165	17	is	be	AUX
bracis-19092	165	18	how	how	SCONJ
bracis-19092	165	19	well	well	ADV
bracis-19092	165	20	a	a	DET
bracis-19092	165	21	model	model	NOUN
bracis-19092	165	22	trained	train	VERB
bracis-19092	165	23	with	with	ADP
bracis-19092	165	24	the	the	DET
bracis-19092	165	25	speech2phone	speech2phone	NOUN
bracis-19092	165	26	method	method	NOUN
bracis-19092	165	27	performs	perform	VERB
bracis-19092	165	28	in	in	ADP
bracis-19092	165	29	speaker	speaker	NOUN
bracis-19092	165	30	verification	verification	NOUN
bracis-19092	165	31	.	.	PUNCT
bracis-19092	166	1	to	to	PART
bracis-19092	166	2	answer	answer	VERB
bracis-19092	166	3	this	this	DET
bracis-19092	166	4	question	question	NOUN
bracis-19092	166	5	we	we	PRON
bracis-19092	166	6	compared	compare	VERB
bracis-19092	166	7	speech2phone	speech2phone	NOUN
bracis-19092	166	8	with	with	ADP
bracis-19092	166	9	the	the	DET
bracis-19092	166	10	fast	fast	ADJ
bracis-19092	166	11	resnet–34	resnet–34	NOUN
bracis-19092	166	12	model	model	NOUN
bracis-19092	166	13	proposed	propose	VERB
bracis-19092	166	14	by	by	ADP
bracis-19092	166	15	[	[	X
bracis-19092	166	16	8	8	NUM
bracis-19092	166	17	]	]	ADV
bracis-19092	166	18	trained	train	VERB
bracis-19092	166	19	using	use	VERB
bracis-19092	166	20	the	the	DET
bracis-19092	166	21	angular	angular	ADJ
bracis-19092	166	22	prototypical	prototypical	ADJ
bracis-19092	166	23	[	[	X
bracis-19092	166	24	8	8	NUM
bracis-19092	166	25	]	]	PUNCT
bracis-19092	166	26	and	and	CCONJ
bracis-19092	166	27	ge2e	ge2e	VERB
bracis-19092	167	1	[	[	X
bracis-19092	167	2	34	34	NUM
bracis-19092	167	3	]	]	PUNCT
bracis-19092	167	4	losses	loss	NOUN
bracis-19092	167	5	function	function	NOUN
bracis-19092	167	6	.	.	PUNCT
bracis-19092	168	1	we	we	PRON
bracis-19092	168	2	chose	choose	VERB
bracis-19092	168	3	this	this	DET
bracis-19092	168	4	model	model	NOUN
bracis-19092	168	5	because	because	SCONJ
bracis-19092	168	6	it	it	PRON
bracis-19092	168	7	presents	present	VERB
bracis-19092	168	8	state	state	NOUN
bracis-19092	168	9	-	-	PUNCT
bracis-19092	168	10	of	of	ADP
bracis-19092	168	11	-	-	PUNCT
bracis-19092	168	12	the	the	DET
bracis-19092	168	13	-	-	PUNCT
bracis-19092	168	14	art	art	NOUN
bracis-19092	168	15	results	result	NOUN
bracis-19092	168	16	in	in	ADP
bracis-19092	168	17	the	the	DET
bracis-19092	168	18	voxceleb	voxceleb	NOUN
bracis-19092	168	19	[	[	X
bracis-19092	168	20	23	23	NUM
bracis-19092	168	21	]	]	PUNCT
bracis-19092	168	22	dataset	dataset	NOUN
bracis-19092	168	23	,	,	PUNCT
bracis-19092	168	24	in	in	ADP
bracis-19092	168	25	addition	addition	NOUN
bracis-19092	168	26	the	the	DET
bracis-19092	168	27	authors	author	NOUN
bracis-19092	168	28	made	make	VERB
bracis-19092	168	29	the	the	DET
bracis-19092	168	30	pre	pre	ADJ
bracis-19092	168	31	-	-	ADJ
bracis-19092	168	32	trained	train	VERB
bracis-19092	168	33	models	model	NOUN
bracis-19092	168	34	available	available	ADJ
bracis-19092	168	35	in	in	ADP
bracis-19092	168	36	the	the	DET
bracis-19092	168	37	github	github	PROPN
bracis-19092	168	38	repositoryfootnote	repositoryfootnote	VERB
bracis-19092	168	39	5	5	NUM
bracis-19092	168	40	.	.	PUNCT
bracis-19092	168	41	to	to	PART
bracis-19092	168	42	compare	compare	VERB
bracis-19092	168	43	the	the	DET
bracis-19092	168	44	models	model	NOUN
bracis-19092	168	45	,	,	PUNCT
bracis-19092	168	46	we	we	PRON
bracis-19092	168	47	chose	choose	VERB
bracis-19092	168	48	two	two	NUM
bracis-19092	168	49	datasets	dataset	NOUN
bracis-19092	168	50	,	,	PUNCT
bracis-19092	168	51	one	one	NUM
bracis-19092	168	52	of	of	ADP
bracis-19092	168	53	which	which	PRON
bracis-19092	168	54	is	be	AUX
bracis-19092	168	55	multi	multi	ADJ
bracis-19092	168	56	-	-	NOUN
bracis-19092	168	57	language	language	NOUN
bracis-19092	168	58	,	,	PUNCT
bracis-19092	168	59	presented	present	VERB
bracis-19092	168	60	in	in	ADP
bracis-19092	168	61	sect	sect	NOUN
bracis-19092	168	62	.	.	PUNCT
bracis-19092	168	63	 	 	SPACE
bracis-19092	168	64	2.3	2.3	NUM
bracis-19092	168	65	.	.	PUNCT
bracis-19092	169	1	as	as	SCONJ
bracis-19092	169	2	speech2phone	speech2phone	NOUN
bracis-19092	169	3	receives	receive	VERB
bracis-19092	169	4	22	22	NUM
bracis-19092	169	5	 	 	SPACE
bracis-19092	169	6	khz	khz	NOUN
bracis-19092	169	7	sample	sample	NOUN
bracis-19092	169	8	rate	rate	NOUN
bracis-19092	169	9	audio	audio	NOUN
bracis-19092	169	10	,	,	PUNCT
bracis-19092	169	11	while	while	SCONJ
bracis-19092	169	12	fast	fast	ADV
bracis-19092	169	13	resnet–34	resnet–34	PROPN
bracis-19092	169	14	16	16	NUM
bracis-19092	169	15	 	 	SPACE
bracis-19092	169	16	khz	khz	NOUN
bracis-19092	169	17	audio	audio	ADJ
bracis-19092	169	18	input	input	NOUN
bracis-19092	169	19	.	.	PUNCT
bracis-19092	170	1	we	we	PRON
bracis-19092	170	2	can	can	AUX
bracis-19092	170	3	not	not	PART
bracis-19092	170	4	directly	directly	ADV
bracis-19092	170	5	compare	compare	VERB
bracis-19092	170	6	the	the	DET
bracis-19092	170	7	results	result	NOUN
bracis-19092	170	8	of	of	ADP
bracis-19092	170	9	the	the	DET
bracis-19092	170	10	models	model	NOUN
bracis-19092	170	11	in	in	ADP
bracis-19092	170	12	the	the	DET
bracis-19092	170	13	voxceleb	voxceleb	PROPN
bracis-19092	170	14	test	test	NOUN
bracis-19092	170	15	dataset	dataset	VERB
bracis-19092	170	16	.	.	PUNCT
bracis-19092	171	1	as	as	SCONJ
bracis-19092	171	2	voxceleb	voxceleb	PROPN
bracis-19092	171	3	is	be	AUX
bracis-19092	171	4	sampled	sample	VERB
bracis-19092	171	5	at	at	ADP
bracis-19092	171	6	16	16	NUM
bracis-19092	171	7	 	 	SPACE
bracis-19092	171	8	khz	khz	NOUN
bracis-19092	171	9	,	,	PUNCT
bracis-19092	171	10	it	it	PRON
bracis-19092	171	11	would	would	AUX
bracis-19092	171	12	not	not	PART
bracis-19092	171	13	be	be	AUX
bracis-19092	171	14	a	a	DET
bracis-19092	171	15	fair	fair	ADJ
bracis-19092	171	16	comparison	comparison	NOUN
bracis-19092	171	17	to	to	PART
bracis-19092	171	18	resample	resample	VERB
bracis-19092	171	19	audios	audio	NOUN
bracis-19092	171	20	from	from	ADP
bracis-19092	171	21	16	16	NUM
bracis-19092	171	22	 	 	SPACE
bracis-19092	171	23	khz	khz	NOUN
bracis-19092	171	24	to	to	ADP
bracis-19092	171	25	22	22	NUM
bracis-19092	171	26	 	 	SPACE
bracis-19092	171	27	khz	khz	NOUN
bracis-19092	171	28	.	.	PUNCT
bracis-19092	172	1	therefore	therefore	ADV
bracis-19092	172	2	,	,	PUNCT
bracis-19092	172	3	we	we	PRON
bracis-19092	172	4	chose	choose	VERB
bracis-19092	172	5	other	other	ADJ
bracis-19092	172	6	datasets	dataset	NOUN
bracis-19092	172	7	with	with	ADP
bracis-19092	172	8	a	a	DET
bracis-19092	172	9	sample	sample	NOUN
bracis-19092	172	10	rate	rate	NOUN
bracis-19092	172	11	greater	great	ADJ
bracis-19092	172	12	than	than	ADP
bracis-19092	172	13	22	22	NUM
bracis-19092	172	14	 	 	SPACE
bracis-19092	172	15	khz	khz	NOUN
bracis-19092	172	16	.	.	PUNCT
bracis-19092	173	1	in	in	ADP
bracis-19092	173	2	addition	addition	NOUN
bracis-19092	173	3	,	,	PUNCT
bracis-19092	173	4	using	use	VERB
bracis-19092	173	5	the	the	DET
bracis-19092	173	6	dataset	dataset	NOUN
bracis-19092	173	7	test	test	NOUN
bracis-19092	173	8	that	that	SCONJ
bracis-19092	173	9	the	the	DET
bracis-19092	173	10	fast	fast	ADJ
bracis-19092	173	11	resnet–34	resnet–34	PROPN
bracis-19092	173	12	model	model	NOUN
bracis-19092	173	13	was	be	AUX
bracis-19092	173	14	trained	train	VERB
bracis-19092	173	15	on	on	ADP
bracis-19092	173	16	could	could	AUX
bracis-19092	173	17	put	put	VERB
bracis-19092	173	18	the	the	DET
bracis-19092	173	19	speech2phone	speech2phone	NOUN
bracis-19092	173	20	model	model	NOUN
bracis-19092	173	21	at	at	ADP
bracis-19092	173	22	a	a	DET
bracis-19092	173	23	disadvantage	disadvantage	NOUN
bracis-19092	173	24	.	.	PUNCT
bracis-19092	174	1	the	the	DET
bracis-19092	174	2	audios	audio	NOUN
bracis-19092	174	3	for	for	ADP
bracis-19092	174	4	each	each	DET
bracis-19092	174	5	dataset	dataset	NOUN
bracis-19092	174	6	were	be	AUX
bracis-19092	174	7	resampled	resample	VERB
bracis-19092	174	8	to	to	ADP
bracis-19092	174	9	16	16	NUM
bracis-19092	174	10	 	 	SPACE
bracis-19092	174	11	khz	khz	NOUN
bracis-19092	174	12	for	for	ADP
bracis-19092	174	13	the	the	DET
bracis-19092	174	14	test	test	NOUN
bracis-19092	174	15	with	with	ADP
bracis-19092	174	16	the	the	DET
bracis-19092	174	17	fast	fast	ADJ
bracis-19092	174	18	resnet–34	resnet–34	NOUN
bracis-19092	174	19	model	model	NOUN
bracis-19092	174	20	and	and	CCONJ
bracis-19092	174	21	to	to	ADP
bracis-19092	174	22	22	22	NUM
bracis-19092	174	23	 	 	SPACE
bracis-19092	174	24	khz	khz	NOUN
bracis-19092	174	25	for	for	ADP
bracis-19092	174	26	the	the	DET
bracis-19092	174	27	test	test	NOUN
bracis-19092	174	28	with	with	ADP
bracis-19092	174	29	speech2phone	speech2phone	NOUN
bracis-19092	174	30	,	,	PUNCT
bracis-19092	174	31	thus	thus	ADV
bracis-19092	174	32	making	make	VERB
bracis-19092	174	33	a	a	DET
bracis-19092	174	34	fair	fair	ADJ
bracis-19092	174	35	comparison	comparison	NOUN
bracis-19092	174	36	between	between	ADP
bracis-19092	174	37	the	the	DET
bracis-19092	174	38	models	model	NOUN
bracis-19092	174	39	.	.	PUNCT
bracis-19092	175	1	for	for	ADP
bracis-19092	175	2	comparison	comparison	NOUN
bracis-19092	175	3	,	,	PUNCT
bracis-19092	175	4	we	we	PRON
bracis-19092	175	5	use	use	VERB
bracis-19092	175	6	the	the	DET
bracis-19092	175	7	metric	metric	ADJ
bracis-19092	175	8	equal	equal	ADJ
bracis-19092	175	9	error	error	NOUN
bracis-19092	175	10	rate	rate	NOUN
bracis-19092	175	11	(	(	PUNCT
bracis-19092	175	12	eer	eer	NOUN
bracis-19092	175	13	)	)	PUNCT
bracis-19092	176	1	[	[	X
bracis-19092	176	2	6	6	NUM
bracis-19092	176	3	]	]	PUNCT
bracis-19092	176	4	,	,	PUNCT
bracis-19092	176	5	the	the	PRON
bracis-19092	176	6	lower	low	ADJ
bracis-19092	176	7	the	the	DET
bracis-19092	176	8	eer	eer	NOUN
bracis-19092	176	9	is	be	AUX
bracis-19092	176	10	,	,	PUNCT
bracis-19092	176	11	the	the	PRON
bracis-19092	176	12	greater	great	ADJ
bracis-19092	176	13	the	the	DET
bracis-19092	176	14	accuracy	accuracy	NOUN
bracis-19092	176	15	becomes	become	VERB
bracis-19092	176	16	.	.	PUNCT
bracis-19092	177	1	to	to	PART
bracis-19092	177	2	compare	compare	VERB
bracis-19092	177	3	the	the	DET
bracis-19092	177	4	best	good	ADJ
bracis-19092	177	5	model	model	NOUN
bracis-19092	177	6	trained	train	VERB
bracis-19092	177	7	with	with	ADP
bracis-19092	177	8	the	the	DET
bracis-19092	177	9	speech2phone	speech2phone	NOUN
bracis-19092	177	10	method	method	NOUN
bracis-19092	177	11	with	with	ADP
bracis-19092	177	12	the	the	DET
bracis-19092	177	13	sota	sota	NOUN
bracis-19092	177	14	we	we	PRON
bracis-19092	177	15	propose	propose	VERB
bracis-19092	177	16	the	the	DET
bracis-19092	177	17	following	follow	VERB
bracis-19092	177	18	experiments	experiment	NOUN
bracis-19092	177	19	:	:	PUNCT
bracis-19092	177	20	experiment	experiment	NOUN
bracis-19092	177	21	4	4	NUM
bracis-19092	177	22	(	(	PUNCT
bracis-19092	177	23	speech2phone	speech2phone	NOUN
bracis-19092	177	24	):	):	PUNCT
bracis-19092	177	25	this	this	DET
bracis-19092	177	26	experiment	experiment	NOUN
bracis-19092	177	27	uses	use	VERB
bracis-19092	177	28	the	the	DET
bracis-19092	177	29	same	same	ADJ
bracis-19092	177	30	model	model	NOUN
bracis-19092	177	31	and	and	CCONJ
bracis-19092	177	32	hyperparameters	hyperparameter	NOUN
bracis-19092	177	33	as	as	ADP
bracis-19092	177	34	experiment	experiment	NOUN
bracis-19092	177	35	1	1	NUM
bracis-19092	177	36	;	;	PUNCT
bracis-19092	177	37	however	however	ADV
bracis-19092	177	38	,	,	PUNCT
bracis-19092	177	39	the	the	DET
bracis-19092	177	40	model	model	NOUN
bracis-19092	177	41	was	be	AUX
bracis-19092	177	42	trained	train	VERB
bracis-19092	177	43	with	with	ADP
bracis-19092	177	44	the	the	DET
bracis-19092	177	45	entire	entire	ADJ
bracis-19092	177	46	speech2phone	speech2phone	NOUN
bracis-19092	177	47	dataset	dataset	NOUN
bracis-19092	177	48	.	.	PUNCT
bracis-19092	178	1	therefore	therefore	ADV
bracis-19092	178	2	,	,	PUNCT
bracis-19092	178	3	the	the	DET
bracis-19092	178	4	model	model	NOUN
bracis-19092	178	5	was	be	AUX
bracis-19092	178	6	trained	train	VERB
bracis-19092	178	7	with	with	ADP
bracis-19092	178	8	2,394	2,394	NUM
bracis-19092	178	9	speech	speech	NOUN
bracis-19092	178	10	segments	segment	NOUN
bracis-19092	178	11	of	of	ADP
bracis-19092	178	12	40	40	NUM
bracis-19092	178	13	speakers	speaker	NOUN
bracis-19092	178	14	totaling	total	VERB
bracis-19092	178	15	approximately	approximately	ADV
bracis-19092	178	16	3	3	NUM
bracis-19092	178	17	 	 	SPACE
bracis-19092	178	18	h	h	NOUN
bracis-19092	178	19	and	and	CCONJ
bracis-19092	178	20	23	23	NUM
bracis-19092	178	21	 	 	SPACE
bracis-19092	178	22	min	min	NOUN
bracis-19092	178	23	of	of	ADP
bracis-19092	178	24	speech	speech	NOUN
bracis-19092	178	25	.	.	PUNCT
bracis-19092	179	1	experiment	experiment	NOUN
bracis-19092	179	2	5	5	NUM
bracis-19092	179	3	(	(	PUNCT
bracis-19092	179	4	fast	fast	ADJ
bracis-19092	179	5	angleproto	angleproto	NOUN
bracis-19092	179	6	):	):	PUNCT
bracis-19092	179	7	this	this	DET
bracis-19092	179	8	experiment	experiment	NOUN
bracis-19092	179	9	uses	use	VERB
bracis-19092	179	10	the	the	DET
bracis-19092	179	11	fast	fast	ADJ
bracis-19092	179	12	resnet–34	resnet–34	PROPN
bracis-19092	179	13	model	model	NOUN
bracis-19092	179	14	,	,	PUNCT
bracis-19092	179	15	proposed	propose	VERB
bracis-19092	179	16	in	in	ADP
bracis-19092	179	17	[	[	X
bracis-19092	179	18	8	8	NUM
bracis-19092	179	19	]	]	PUNCT
bracis-19092	179	20	,	,	PUNCT
bracis-19092	179	21	this	this	DET
bracis-19092	179	22	model	model	NOUN
bracis-19092	179	23	is	be	AUX
bracis-19092	179	24	trained	train	VERB
bracis-19092	179	25	with	with	ADP
bracis-19092	179	26	the	the	DET
bracis-19092	179	27	angular	angular	ADJ
bracis-19092	179	28	prototypical	prototypical	ADJ
bracis-19092	179	29	loss	loss	NOUN
bracis-19092	179	30	function	function	NOUN
bracis-19092	179	31	in	in	ADP
bracis-19092	179	32	the	the	DET
bracis-19092	179	33	voxceleb	voxceleb	NOUN
bracis-19092	179	34	dataset	dataset	NOUN
bracis-19092	179	35	,	,	PUNCT
bracis-19092	179	36	which	which	PRON
bracis-19092	179	37	has	have	VERB
bracis-19092	179	38	approximately	approximately	ADV
bracis-19092	179	39	2,000	2,000	NUM
bracis-19092	179	40	 	 	SPACE
bracis-19092	179	41	h	h	NOUN
bracis-19092	179	42	of	of	ADP
bracis-19092	179	43	speech	speech	NOUN
bracis-19092	179	44	by	by	ADP
bracis-19092	179	45	approximately	approximately	ADV
bracis-19092	179	46	7,000	7,000	NUM
bracis-19092	179	47	speakers	speaker	NOUN
bracis-19092	179	48	.	.	PUNCT
bracis-19092	180	1	this	this	DET
bracis-19092	180	2	model	model	NOUN
bracis-19092	180	3	achieves	achieve	VERB
bracis-19092	180	4	an	an	DET
bracis-19092	180	5	eer	eer	NOUN
bracis-19092	180	6	of	of	ADP
bracis-19092	180	7	approximately	approximately	ADV
bracis-19092	180	8	2.2	2.2	NUM
bracis-19092	180	9	in	in	ADP
bracis-19092	180	10	the	the	DET
bracis-19092	180	11	voxceleb	voxceleb	NOUN
bracis-19092	180	12	dataset	dataset	NOUN
bracis-19092	180	13	test	test	NOUN
bracis-19092	180	14	set	set	VERB
bracis-19092	180	15	,	,	PUNCT
bracis-19092	180	16	as	as	SCONJ
bracis-19092	180	17	reported	report	VERB
bracis-19092	180	18	in	in	ADP
bracis-19092	180	19	[	[	X
bracis-19092	180	20	8	8	NUM
bracis-19092	180	21	]	]	PUNCT
bracis-19092	180	22	.	.	PUNCT
bracis-19092	181	1	experiment	experiment	NOUN
bracis-19092	181	2	6	6	NUM
bracis-19092	181	3	(	(	PUNCT
bracis-19092	181	4	fast	fast	ADJ
bracis-19092	181	5	ge2e	ge2e	NOUN
bracis-19092	181	6	):	):	PUNCT
bracis-19092	181	7	this	this	DET
bracis-19092	181	8	experiment	experiment	NOUN
bracis-19092	181	9	also	also	ADV
bracis-19092	181	10	uses	use	VERB
bracis-19092	181	11	the	the	DET
bracis-19092	181	12	fast	fast	ADJ
bracis-19092	181	13	resnet–34	resnet–34	NOUN
bracis-19092	181	14	model	model	NOUN
bracis-19092	181	15	,	,	PUNCT
bracis-19092	181	16	and	and	CCONJ
bracis-19092	181	17	was	be	AUX
bracis-19092	181	18	also	also	ADV
bracis-19092	181	19	trained	train	VERB
bracis-19092	181	20	with	with	ADP
bracis-19092	181	21	the	the	DET
bracis-19092	181	22	same	same	ADJ
bracis-19092	181	23	number	number	NOUN
bracis-19092	181	24	of	of	ADP
bracis-19092	181	25	speakers	speaker	NOUN
bracis-19092	181	26	and	and	CCONJ
bracis-19092	181	27	hours	hour	NOUN
bracis-19092	181	28	of	of	ADP
bracis-19092	181	29	experiment	experiment	NOUN
bracis-19092	181	30	5	5	NUM
bracis-19092	181	31	.	.	PUNCT
bracis-19092	182	1	however	however	ADV
bracis-19092	182	2	the	the	DET
bracis-19092	182	3	model	model	NOUN
bracis-19092	182	4	is	be	AUX
bracis-19092	182	5	trained	train	VERB
bracis-19092	182	6	using	use	VERB
bracis-19092	182	7	the	the	DET
bracis-19092	182	8	ge2e	ge2e	NOUN
bracis-19092	182	9	loss	loss	NOUN
bracis-19092	182	10	function	function	NOUN
bracis-19092	182	11	.	.	PUNCT
bracis-19092	183	1	for	for	ADP
bracis-19092	183	2	the	the	DET
bracis-19092	183	3	evaluation	evaluation	NOUN
bracis-19092	183	4	of	of	ADP
bracis-19092	183	5	the	the	DET
bracis-19092	183	6	fast	fast	ADJ
bracis-19092	183	7	resnet–34	resnet–34	NOUN
bracis-19092	183	8	model	model	NOUN
bracis-19092	183	9	we	we	PRON
bracis-19092	183	10	followed	follow	VERB
bracis-19092	183	11	the	the	DET
bracis-19092	183	12	original	original	ADJ
bracis-19092	183	13	work	work	NOUN
bracis-19092	183	14	and	and	CCONJ
bracis-19092	183	15	sample	sample	NOUN
bracis-19092	183	16	ten	ten	NUM
bracis-19092	183	17	4	4	NUM
bracis-19092	183	18	-	-	PUNCT
bracis-19092	183	19	s	s	NOUN
bracis-19092	183	20	temporal	temporal	ADJ
bracis-19092	183	21	crops	crop	NOUN
bracis-19092	183	22	at	at	ADP
bracis-19092	183	23	regular	regular	ADJ
bracis-19092	183	24	intervals	interval	NOUN
bracis-19092	183	25	from	from	ADP
bracis-19092	183	26	each	each	DET
bracis-19092	183	27	test	test	NOUN
bracis-19092	183	28	segment	segment	NOUN
bracis-19092	183	29	.	.	PUNCT
bracis-19092	184	1	as	as	SCONJ
bracis-19092	184	2	the	the	DET
bracis-19092	184	3	model	model	NOUN
bracis-19092	184	4	accepts	accept	VERB
bracis-19092	184	5	audios	audio	NOUN
bracis-19092	184	6	of	of	ADP
bracis-19092	184	7	variable	variable	ADJ
bracis-19092	184	8	size	size	NOUN
bracis-19092	184	9	when	when	SCONJ
bracis-19092	184	10	the	the	DET
bracis-19092	184	11	audio	audio	NOUN
bracis-19092	184	12	was	be	AUX
bracis-19092	184	13	less	less	ADJ
bracis-19092	184	14	than	than	ADP
bracis-19092	184	15	4	4	NUM
bracis-19092	184	16	-	-	SYM
bracis-19092	184	17	s	s	NOUN
bracis-19092	184	18	,	,	PUNCT
bracis-19092	184	19	like	like	ADP
bracis-19092	184	20	the	the	DET
bracis-19092	184	21	original	original	ADJ
bracis-19092	184	22	work	work	NOUN
bracis-19092	184	23	,	,	PUNCT
bracis-19092	184	24	we	we	PRON
bracis-19092	184	25	only	only	ADV
bracis-19092	184	26	used	use	VERB
bracis-19092	184	27	the	the	DET
bracis-19092	184	28	audio	audio	NOUN
bracis-19092	184	29	without	without	ADP
bracis-19092	184	30	sample	sample	NOUN
bracis-19092	184	31	crops	crop	NOUN
bracis-19092	184	32	.	.	PUNCT
bracis-19092	185	1	unlike	unlike	ADP
bracis-19092	185	2	the	the	DET
bracis-19092	185	3	fast	fast	ADJ
bracis-19092	185	4	resnet–34	resnet–34	PROPN
bracis-19092	185	5	model	model	NOUN
bracis-19092	185	6	,	,	PUNCT
bracis-19092	185	7	which	which	PRON
bracis-19092	185	8	accepts	accept	VERB
bracis-19092	185	9	audios	audio	NOUN
bracis-19092	185	10	of	of	ADP
bracis-19092	185	11	varying	vary	VERB
bracis-19092	185	12	sizes	size	NOUN
bracis-19092	185	13	,	,	PUNCT
bracis-19092	185	14	our	our	PRON
bracis-19092	185	15	model	model	NOUN
bracis-19092	185	16	receives	receive	VERB
bracis-19092	185	17	an	an	DET
bracis-19092	185	18	mfcc	mfcc	NOUN
bracis-19092	185	19	of	of	ADP
bracis-19092	185	20	just	just	ADV
bracis-19092	185	21	5	5	NUM
bracis-19092	185	22	 	 	SPACE
bracis-19092	185	23	s	s	NOUN
bracis-19092	185	24	of	of	ADP
bracis-19092	185	25	speech	speech	NOUN
bracis-19092	185	26	as	as	ADP
bracis-19092	185	27	input	input	NOUN
bracis-19092	185	28	.	.	PUNCT
bracis-19092	186	1	however	however	ADV
bracis-19092	186	2	,	,	PUNCT
bracis-19092	186	3	in	in	ADP
bracis-19092	186	4	the	the	DET
bracis-19092	186	5	vctk	vctk	PROPN
bracis-19092	186	6	and	and	CCONJ
bracis-19092	186	7	cv	cv	PROPN
bracis-19092	186	8	datasets	dataset	NOUN
bracis-19092	186	9	we	we	PRON
bracis-19092	186	10	have	have	VERB
bracis-19092	186	11	audios	audio	NOUN
bracis-19092	186	12	with	with	ADP
bracis-19092	186	13	variable	variable	ADJ
bracis-19092	186	14	sizes	size	NOUN
bracis-19092	186	15	.	.	PUNCT
bracis-19092	187	1	therefore	therefore	ADV
bracis-19092	187	2	,	,	PUNCT
bracis-19092	187	3	for	for	ADP
bracis-19092	187	4	a	a	DET
bracis-19092	187	5	fair	fair	ADJ
bracis-19092	187	6	comparison	comparison	NOUN
bracis-19092	187	7	and	and	CCONJ
bracis-19092	187	8	each	each	DET
bracis-19092	187	9	model	model	NOUN
bracis-19092	187	10	to	to	PART
bracis-19092	187	11	have	have	VERB
bracis-19092	187	12	access	access	NOUN
bracis-19092	187	13	to	to	ADP
bracis-19092	187	14	all	all	DET
bracis-19092	187	15	the	the	DET
bracis-19092	187	16	audio	audio	ADJ
bracis-19092	187	17	content	content	NOUN
bracis-19092	187	18	for	for	ADP
bracis-19092	187	19	calculating	calculate	VERB
bracis-19092	187	20	the	the	DET
bracis-19092	187	21	eer	eer	NOUN
bracis-19092	187	22	of	of	ADP
bracis-19092	187	23	the	the	DET
bracis-19092	187	24	speech2phone	speech2phone	NOUN
bracis-19092	187	25	model	model	NOUN
bracis-19092	187	26	,	,	PUNCT
bracis-19092	187	27	we	we	PRON
bracis-19092	187	28	proceed	proceed	VERB
bracis-19092	187	29	as	as	SCONJ
bracis-19092	187	30	follows	follow	VERB
bracis-19092	187	31	.	.	PUNCT
bracis-19092	188	1	for	for	ADP
bracis-19092	188	2	audios	audio	NOUN
bracis-19092	188	3	longer	long	ADV
bracis-19092	188	4	than	than	ADP
bracis-19092	188	5	5	5	NUM
bracis-19092	188	6	 	 	SPACE
bracis-19092	188	7	s	s	PROPN
bracis-19092	188	8	,	,	PUNCT
bracis-19092	188	9	we	we	PRON
bracis-19092	188	10	use	use	VERB
bracis-19092	188	11	the	the	DET
bracis-19092	188	12	overlapping	overlap	VERB
bracis-19092	188	13	technique	technique	NOUN
bracis-19092	188	14	,	,	PUNCT
bracis-19092	188	15	as	as	SCONJ
bracis-19092	188	16	described	describe	VERB
bracis-19092	188	17	in	in	ADP
bracis-19092	188	18	sect	sect	NOUN
bracis-19092	188	19	.	.	PUNCT
bracis-19092	188	20	 	 	SPACE
bracis-19092	188	21	2.2	2.2	NUM
bracis-19092	188	22	.	.	PUNCT
bracis-19092	189	1	therefore	therefore	ADV
bracis-19092	189	2	,	,	PUNCT
bracis-19092	189	3	after	after	ADP
bracis-19092	189	4	applying	apply	VERB
bracis-19092	189	5	the	the	DET
bracis-19092	189	6	overlapping	overlap	VERB
bracis-19092	189	7	technique	technique	NOUN
bracis-19092	189	8	for	for	ADP
bracis-19092	189	9	a	a	DET
bracis-19092	189	10	six	six	NUM
bracis-19092	189	11	-	-	PUNCT
bracis-19092	189	12	second	second	NOUN
bracis-19092	189	13	audio	audio	NOUN
bracis-19092	189	14	,	,	PUNCT
bracis-19092	189	15	two	two	NUM
bracis-19092	189	16	five	five	NUM
bracis-19092	189	17	-	-	PUNCT
bracis-19092	189	18	second	second	NOUN
bracis-19092	189	19	samples	sample	NOUN
bracis-19092	189	20	are	be	AUX
bracis-19092	189	21	obtained	obtain	VERB
bracis-19092	189	22	,	,	PUNCT
bracis-19092	189	23	the	the	DET
bracis-19092	189	24	resulting	result	VERB
bracis-19092	189	25	embedding	embed	VERB
bracis-19092	189	26	for	for	ADP
bracis-19092	189	27	that	that	DET
bracis-19092	189	28	sample	sample	NOUN
bracis-19092	189	29	is	be	AUX
bracis-19092	189	30	the	the	DET
bracis-19092	189	31	average	average	NOUN
bracis-19092	189	32	between	between	ADP
bracis-19092	189	33	the	the	DET
bracis-19092	189	34	predicted	predict	VERB
bracis-19092	189	35	embedding	embed	VERB
bracis-19092	189	36	for	for	ADP
bracis-19092	189	37	these	these	DET
bracis-19092	189	38	two	two	NUM
bracis-19092	189	39	five	five	NUM
bracis-19092	189	40	-	-	PUNCT
bracis-19092	189	41	second	second	NOUN
bracis-19092	189	42	samples	sample	NOUN
bracis-19092	189	43	.	.	PUNCT
bracis-19092	190	1	on	on	ADP
bracis-19092	190	2	the	the	DET
bracis-19092	190	3	other	other	ADJ
bracis-19092	190	4	hand	hand	NOUN
bracis-19092	190	5	,	,	PUNCT
bracis-19092	190	6	for	for	ADP
bracis-19092	190	7	sample	sample	NOUN
bracis-19092	190	8	less	less	ADJ
bracis-19092	190	9	than	than	ADP
bracis-19092	190	10	5	5	NUM
bracis-19092	190	11	 	 	SPACE
bracis-19092	190	12	s	s	PROPN
bracis-19092	190	13	,	,	PUNCT
bracis-19092	190	14	we	we	PRON
bracis-19092	190	15	repeat	repeat	VERB
bracis-19092	190	16	the	the	DET
bracis-19092	190	17	audio	audio	NOUN
bracis-19092	190	18	frames	frame	NOUN
bracis-19092	190	19	until	until	ADP
bracis-19092	190	20	reaching	reach	VERB
bracis-19092	190	21	at	at	ADV
bracis-19092	190	22	least	least	ADV
bracis-19092	190	23	5	5	NUM
bracis-19092	190	24	 	 	SPACE
bracis-19092	190	25	s	s	PROPN
bracis-19092	190	26	,	,	PUNCT
bracis-19092	190	27	for	for	ADP
bracis-19092	190	28	example	example	NOUN
bracis-19092	190	29	,	,	PUNCT
bracis-19092	190	30	a	a	DET
bracis-19092	190	31	three	three	NUM
bracis-19092	190	32	-	-	PUNCT
bracis-19092	190	33	second	second	NOUN
bracis-19092	190	34	audio	audio	NOUN
bracis-19092	190	35	is	be	AUX
bracis-19092	190	36	repeated	repeat	VERB
bracis-19092	190	37	once	once	ADV
bracis-19092	190	38	,	,	PUNCT
bracis-19092	190	39	thus	thus	ADV
bracis-19092	190	40	obtaining	obtain	VERB
bracis-19092	190	41	a	a	DET
bracis-19092	190	42	six	six	NUM
bracis-19092	190	43	-	-	PUNCT
bracis-19092	190	44	second	second	NOUN
bracis-19092	190	45	audio	audio	NOUN
bracis-19092	190	46	,	,	PUNCT
bracis-19092	190	47	where	where	SCONJ
bracis-19092	190	48	the	the	DET
bracis-19092	190	49	resulting	result	VERB
bracis-19092	190	50	audio	audio	NOUN
bracis-19092	190	51	applies	apply	VERB
bracis-19092	190	52	the	the	DET
bracis-19092	190	53	overlapping	overlap	VERB
bracis-19092	190	54	technique	technique	NOUN
bracis-19092	190	55	,	,	PUNCT
bracis-19092	190	56	since	since	SCONJ
bracis-19092	190	57	we	we	PRON
bracis-19092	190	58	audios	audio	VERB
bracis-19092	190	59	longer	long	ADV
bracis-19092	190	60	than	than	ADP
bracis-19092	190	61	5	5	NUM
bracis-19092	190	62	 	 	SPACE
bracis-19092	190	63	s.	s.	PROPN
bracis-19092	190	64	4.2	4.2	NUM
bracis-19092	190	65	speaker	speaker	NOUN
bracis-19092	190	66	verification	verification	NOUN
bracis-19092	190	67	results	result	NOUN
bracis-19092	190	68	in	in	ADP
bracis-19092	190	69	this	this	DET
bracis-19092	190	70	set	set	NOUN
bracis-19092	190	71	of	of	ADP
bracis-19092	190	72	experiments	experiment	NOUN
bracis-19092	190	73	we	we	PRON
bracis-19092	190	74	compared	compare	VERB
bracis-19092	190	75	the	the	DET
bracis-19092	190	76	performance	performance	NOUN
bracis-19092	190	77	of	of	ADP
bracis-19092	190	78	our	our	PRON
bracis-19092	190	79	best	good	ADJ
bracis-19092	190	80	model	model	NOUN
bracis-19092	190	81	trained	train	VERB
bracis-19092	190	82	with	with	ADP
bracis-19092	190	83	the	the	DET
bracis-19092	190	84	speech2phone	speech2phone	NOUN
bracis-19092	190	85	method	method	NOUN
bracis-19092	190	86	with	with	ADP
bracis-19092	190	87	the	the	DET
bracis-19092	190	88	fast	fast	ADJ
bracis-19092	190	89	resnet–34	resnet–34	NOUN
bracis-19092	190	90	model	model	NOUN
bracis-19092	190	91	proposed	propose	VERB
bracis-19092	190	92	by	by	ADP
bracis-19092	190	93	[	[	X
bracis-19092	190	94	8	8	NUM
bracis-19092	190	95	]	]	PUNCT
bracis-19092	190	96	,	,	PUNCT
bracis-19092	190	97	trained	train	VERB
bracis-19092	190	98	with	with	ADP
bracis-19092	190	99	approximately	approximately	ADV
bracis-19092	190	100	2,000	2,000	NUM
bracis-19092	190	101	 	 	SPACE
bracis-19092	190	102	h	h	NOUN
bracis-19092	190	103	of	of	ADP
bracis-19092	190	104	speech	speech	NOUN
bracis-19092	190	105	using	use	VERB
bracis-19092	190	106	the	the	DET
bracis-19092	190	107	angular	angular	ADJ
bracis-19092	190	108	prototypical	prototypical	ADJ
bracis-19092	190	109	loss	loss	NOUN
bracis-19092	190	110	function	function	NOUN
bracis-19092	190	111	[	[	X
bracis-19092	190	112	8	8	NUM
bracis-19092	190	113	]	]	PUNCT
bracis-19092	190	114	and	and	CCONJ
bracis-19092	190	115	ge2e	ge2e	VERB
bracis-19092	191	1	[	[	X
bracis-19092	191	2	34	34	NUM
bracis-19092	191	3	]	]	PUNCT
bracis-19092	191	4	.	.	PUNCT
bracis-19092	192	1	table	table	NOUN
bracis-19092	192	2	 	 	SPACE
bracis-19092	192	3	4	4	NUM
bracis-19092	192	4	shows	show	VERB
bracis-19092	192	5	the	the	DET
bracis-19092	192	6	eer	eer	NOUN
bracis-19092	192	7	of	of	ADP
bracis-19092	192	8	these	these	DET
bracis-19092	192	9	experiments	experiment	NOUN
bracis-19092	192	10	in	in	ADP
bracis-19092	192	11	english	english	PROPN
bracis-19092	192	12	using	use	VERB
bracis-19092	192	13	the	the	DET
bracis-19092	192	14	vctk	vctk	PROPN
bracis-19092	192	15	dataset	dataset	PROPN
bracis-19092	192	16	,	,	PUNCT
bracis-19092	192	17	in	in	ADP
bracis-19092	192	18	portuguese	portuguese	PROPN
bracis-19092	192	19	(	(	PUNCT
bracis-19092	192	20	pt	pt	PROPN
bracis-19092	192	21	)	)	PUNCT
bracis-19092	192	22	,	,	PUNCT
bracis-19092	192	23	spanish	spanish	ADJ
bracis-19092	192	24	(	(	PUNCT
bracis-19092	192	25	es	es	NOUN
bracis-19092	192	26	)	)	PUNCT
bracis-19092	192	27	and	and	CCONJ
bracis-19092	192	28	chinese	chinese	PROPN
bracis-19092	192	29	(	(	PUNCT
bracis-19092	192	30	zh	zh	NOUN
bracis-19092	192	31	)	)	PUNCT
bracis-19092	192	32	using	use	VERB
bracis-19092	192	33	the	the	DET
bracis-19092	192	34	common	common	ADJ
bracis-19092	192	35	voice	voice	NOUN
bracis-19092	192	36	dataset	dataset	NOUN
bracis-19092	192	37	.	.	PUNCT
bracis-19092	193	1	table	table	NOUN
bracis-19092	193	2	4	4	NUM
bracis-19092	193	3	.	.	PUNCT
bracis-19092	193	4	results	result	NOUN
bracis-19092	193	5	for	for	ADP
bracis-19092	193	6	speaker	speaker	NOUN
bracis-19092	193	7	verification	verification	PROPN
bracis-19092	193	8	experimentsfull	experimentsfull	PROPN
bracis-19092	193	9	size	size	NOUN
bracis-19092	193	10	table	table	NOUN
bracis-19092	193	11	experiment	experiment	NOUN
bracis-19092	193	12	4	4	NUM
bracis-19092	193	13	consisted	consist	VERB
bracis-19092	193	14	of	of	ADP
bracis-19092	193	15	the	the	DET
bracis-19092	193	16	best	good	ADJ
bracis-19092	193	17	speech2phone	speech2phone	NOUN
bracis-19092	193	18	result	result	NOUN
bracis-19092	193	19	trained	train	VERB
bracis-19092	193	20	using	use	VERB
bracis-19092	193	21	the	the	DET
bracis-19092	193	22	entire	entire	ADJ
bracis-19092	193	23	speech2phone	speech2phone	NOUN
bracis-19092	193	24	dataset	dataset	NOUN
bracis-19092	193	25	(	(	PUNCT
bracis-19092	193	26	approximately	approximately	ADV
bracis-19092	193	27	3	3	NUM
bracis-19092	193	28	 	 	SPACE
bracis-19092	193	29	h	h	NOUN
bracis-19092	193	30	and	and	CCONJ
bracis-19092	193	31	23	23	NUM
bracis-19092	193	32	 	 	SPACE
bracis-19092	193	33	min	min	NOUN
bracis-19092	193	34	of	of	ADP
bracis-19092	193	35	speech	speech	NOUN
bracis-19092	193	36	from	from	ADP
bracis-19092	193	37	40	40	NUM
bracis-19092	193	38	different	different	ADJ
bracis-19092	193	39	speakers	speaker	NOUN
bracis-19092	193	40	)	)	PUNCT
bracis-19092	193	41	.	.	PUNCT
bracis-19092	194	1	this	this	PRON
bracis-19092	194	2	achieved	achieve	VERB
bracis-19092	194	3	the	the	DET
bracis-19092	194	4	best	good	ADJ
bracis-19092	194	5	eer	eer	NOUN
bracis-19092	194	6	of	of	ADP
bracis-19092	194	7	all	all	DET
bracis-19092	194	8	experiments	experiment	NOUN
bracis-19092	194	9	in	in	ADP
bracis-19092	194	10	the	the	DET
bracis-19092	194	11	vctk	vctk	PROPN
bracis-19092	194	12	dataset	dataset	PROPN
bracis-19092	194	13	.	.	PUNCT
bracis-19092	195	1	for	for	ADP
bracis-19092	195	2	the	the	DET
bracis-19092	195	3	common	common	ADJ
bracis-19092	195	4	voice	voice	NOUN
bracis-19092	195	5	dataset	dataset	NOUN
bracis-19092	195	6	,	,	PUNCT
bracis-19092	195	7	the	the	DET
bracis-19092	195	8	model	model	NOUN
bracis-19092	195	9	achieved	achieve	VERB
bracis-19092	195	10	the	the	DET
bracis-19092	195	11	second	second	ADJ
bracis-19092	195	12	best	good	ADJ
bracis-19092	195	13	result	result	NOUN
bracis-19092	195	14	for	for	ADP
bracis-19092	195	15	the	the	DET
bracis-19092	195	16	pt	pt	PROPN
bracis-19092	195	17	and	and	CCONJ
bracis-19092	195	18	zh	zh	PROPN
bracis-19092	195	19	subsets	subset	NOUN
bracis-19092	195	20	,	,	PUNCT
bracis-19092	195	21	being	be	AUX
bracis-19092	195	22	surpassed	surpass	VERB
bracis-19092	195	23	only	only	ADV
bracis-19092	195	24	by	by	ADP
bracis-19092	195	25	the	the	DET
bracis-19092	195	26	fast	fast	ADJ
bracis-19092	195	27	resnet–34	resnet–34	NOUN
bracis-19092	195	28	model	model	NOUN
bracis-19092	195	29	trained	train	VERB
bracis-19092	195	30	with	with	ADP
bracis-19092	195	31	the	the	DET
bracis-19092	195	32	angular	angular	ADJ
bracis-19092	195	33	prototypical	prototypical	ADJ
bracis-19092	195	34	loss	loss	NOUN
bracis-19092	195	35	function	function	NOUN
bracis-19092	195	36	(	(	PUNCT
bracis-19092	195	37	experiment	experiment	NOUN
bracis-19092	195	38	5	5	NUM
bracis-19092	195	39	)	)	PUNCT
bracis-19092	195	40	.	.	PUNCT
bracis-19092	196	1	on	on	ADP
bracis-19092	196	2	the	the	DET
bracis-19092	196	3	other	other	ADJ
bracis-19092	196	4	hand	hand	NOUN
bracis-19092	196	5	,	,	PUNCT
bracis-19092	196	6	in	in	ADP
bracis-19092	196	7	the	the	DET
bracis-19092	196	8	es	es	NOUN
bracis-19092	196	9	subset	subset	NOUN
bracis-19092	196	10	,	,	PUNCT
bracis-19092	196	11	this	this	DET
bracis-19092	196	12	experiment	experiment	NOUN
bracis-19092	196	13	had	have	VERB
bracis-19092	196	14	the	the	DET
bracis-19092	196	15	worst	bad	ADJ
bracis-19092	196	16	performance	performance	NOUN
bracis-19092	196	17	of	of	ADP
bracis-19092	196	18	all	all	DET
bracis-19092	196	19	experiments	experiment	NOUN
bracis-19092	196	20	.	.	PUNCT
bracis-19092	197	1	experiment	experiment	NOUN
bracis-19092	197	2	5	5	NUM
bracis-19092	197	3	used	use	VERB
bracis-19092	197	4	fast	fast	ADJ
bracis-19092	197	5	resnet–34	resnet–34	NOUN
bracis-19092	197	6	model	model	NOUN
bracis-19092	197	7	trained	train	VERB
bracis-19092	197	8	with	with	ADP
bracis-19092	197	9	the	the	DET
bracis-19092	197	10	angular	angular	ADJ
bracis-19092	197	11	prototypical	prototypical	ADJ
bracis-19092	197	12	loss	loss	NOUN
bracis-19092	197	13	function	function	NOUN
bracis-19092	197	14	,	,	PUNCT
bracis-19092	197	15	obtaining	obtain	VERB
bracis-19092	197	16	the	the	DET
bracis-19092	197	17	second	second	ADJ
bracis-19092	197	18	best	good	ADJ
bracis-19092	197	19	eer	eer	NOUN
bracis-19092	197	20	in	in	ADP
bracis-19092	197	21	the	the	DET
bracis-19092	197	22	vctk	vctk	PROPN
bracis-19092	197	23	dataset	dataset	PROPN
bracis-19092	197	24	,	,	PUNCT
bracis-19092	197	25	only	only	ADV
bracis-19092	197	26	surpassed	surpass	VERB
bracis-19092	197	27	by	by	ADP
bracis-19092	197	28	speech2phone	speech2phone	NOUN
bracis-19092	197	29	.	.	PUNCT
bracis-19092	198	1	in	in	ADP
bracis-19092	198	2	addition	addition	NOUN
bracis-19092	198	3	,	,	PUNCT
bracis-19092	198	4	this	this	DET
bracis-19092	198	5	experiment	experiment	NOUN
bracis-19092	198	6	achieved	achieve	VERB
bracis-19092	198	7	the	the	DET
bracis-19092	198	8	best	good	ADJ
bracis-19092	198	9	result	result	NOUN
bracis-19092	198	10	in	in	ADP
bracis-19092	198	11	all	all	DET
bracis-19092	198	12	subsets	subset	NOUN
bracis-19092	198	13	of	of	ADP
bracis-19092	198	14	the	the	DET
bracis-19092	198	15	common	common	ADJ
bracis-19092	198	16	voice	voice	NOUN
bracis-19092	198	17	dataset	dataset	NOUN
bracis-19092	198	18	.	.	PUNCT
bracis-19092	199	1	experiment	experiment	NOUN
bracis-19092	199	2	6	6	NUM
bracis-19092	199	3	,	,	PUNCT
bracis-19092	199	4	which	which	PRON
bracis-19092	199	5	consisted	consist	VERB
bracis-19092	199	6	of	of	ADP
bracis-19092	199	7	using	use	VERB
bracis-19092	199	8	fast	fast	ADJ
bracis-19092	199	9	resnet–34	resnet–34	NOUN
bracis-19092	199	10	model	model	NOUN
bracis-19092	199	11	trained	train	VERB
bracis-19092	199	12	with	with	ADP
bracis-19092	199	13	the	the	DET
bracis-19092	199	14	ge2e	ge2e	PROPN
bracis-19092	199	15	loss	loss	NOUN
bracis-19092	199	16	function	function	NOUN
bracis-19092	199	17	,	,	PUNCT
bracis-19092	199	18	obtained	obtain	VERB
bracis-19092	199	19	the	the	DET
bracis-19092	199	20	worst	bad	ADJ
bracis-19092	199	21	eer	eer	NOUN
bracis-19092	199	22	in	in	ADP
bracis-19092	199	23	the	the	DET
bracis-19092	199	24	vctk	vctk	PROPN
bracis-19092	199	25	dataset	dataset	PROPN
bracis-19092	199	26	.	.	PUNCT
bracis-19092	200	1	this	this	DET
bracis-19092	200	2	experiment	experiment	NOUN
bracis-19092	200	3	also	also	ADV
bracis-19092	200	4	had	have	VERB
bracis-19092	200	5	the	the	DET
bracis-19092	200	6	worst	bad	ADJ
bracis-19092	200	7	eer	eer	NOUN
bracis-19092	200	8	in	in	ADP
bracis-19092	200	9	the	the	DET
bracis-19092	200	10	zh	zh	PROPN
bracis-19092	200	11	and	and	CCONJ
bracis-19092	200	12	pt	pt	PROPN
bracis-19092	200	13	subsets	subset	NOUN
bracis-19092	200	14	of	of	ADP
bracis-19092	200	15	common	common	ADJ
bracis-19092	200	16	voice	voice	NOUN
bracis-19092	200	17	.	.	PUNCT
bracis-19092	201	1	however	however	ADV
bracis-19092	201	2	,	,	PUNCT
bracis-19092	201	3	the	the	DET
bracis-19092	201	4	model	model	NOUN
bracis-19092	201	5	achieved	achieve	VERB
bracis-19092	201	6	the	the	DET
bracis-19092	201	7	second	second	ADJ
bracis-19092	201	8	best	good	ADJ
bracis-19092	201	9	eer	eer	NOUN
bracis-19092	201	10	in	in	ADP
bracis-19092	201	11	the	the	DET
bracis-19092	201	12	es	es	NOUN
bracis-19092	201	13	subset	subset	NOUN
bracis-19092	201	14	of	of	ADP
bracis-19092	201	15	common	common	ADJ
bracis-19092	201	16	voice	voice	NOUN
bracis-19092	201	17	.	.	PUNCT
bracis-19092	202	1	experiment	experiment	NOUN
bracis-19092	202	2	4	4	NUM
bracis-19092	202	3	showed	show	VERB
bracis-19092	202	4	the	the	DET
bracis-19092	202	5	potential	potential	NOUN
bracis-19092	202	6	of	of	ADP
bracis-19092	202	7	the	the	DET
bracis-19092	202	8	speech2phone	speech2phone	NOUN
bracis-19092	202	9	approach	approach	NOUN
bracis-19092	202	10	,	,	PUNCT
bracis-19092	202	11	which	which	PRON
bracis-19092	202	12	despite	despite	SCONJ
bracis-19092	202	13	having	having	AUX
bracis-19092	202	14	been	be	AUX
bracis-19092	202	15	trained	train	VERB
bracis-19092	202	16	with	with	ADP
bracis-19092	202	17	only	only	ADV
bracis-19092	202	18	3	3	NUM
bracis-19092	202	19	 	 	SPACE
bracis-19092	202	20	h	h	NOUN
bracis-19092	202	21	and	and	CCONJ
bracis-19092	202	22	23	23	NUM
bracis-19092	202	23	 	 	SPACE
bracis-19092	202	24	min	min	NOUN
bracis-19092	202	25	of	of	ADP
bracis-19092	202	26	speech	speech	NOUN
bracis-19092	202	27	from	from	ADP
bracis-19092	202	28	only	only	ADV
bracis-19092	202	29	40	40	NUM
bracis-19092	202	30	speakers	speaker	NOUN
bracis-19092	202	31	,	,	PUNCT
bracis-19092	202	32	obtained	obtain	VERB
bracis-19092	202	33	better	well	ADJ
bracis-19092	202	34	results	result	NOUN
bracis-19092	202	35	than	than	ADP
bracis-19092	202	36	fast	fast	ADJ
bracis-19092	202	37	resnet–34	resnet–34	NOUN
bracis-19092	202	38	model	model	NOUN
bracis-19092	202	39	trained	train	VERB
bracis-19092	202	40	with	with	ADP
bracis-19092	202	41	2000	2000	NUM
bracis-19092	202	42	 	 	SPACE
bracis-19092	202	43	h	h	NOUN
bracis-19092	202	44	of	of	ADP
bracis-19092	202	45	speech	speech	NOUN
bracis-19092	202	46	and	and	CCONJ
bracis-19092	202	47	approximately	approximately	ADV
bracis-19092	202	48	7,000	7,000	NUM
bracis-19092	202	49	speakers	speaker	NOUN
bracis-19092	202	50	using	use	VERB
bracis-19092	202	51	the	the	DET
bracis-19092	202	52	ge2e	ge2e	NOUN
bracis-19092	202	53	loss	loss	NOUN
bracis-19092	202	54	function	function	NOUN
bracis-19092	202	55	.	.	PUNCT
bracis-19092	203	1	in	in	ADP
bracis-19092	203	2	addition	addition	NOUN
bracis-19092	203	3	,	,	PUNCT
bracis-19092	203	4	this	this	DET
bracis-19092	203	5	experiment	experiment	NOUN
bracis-19092	203	6	achieved	achieve	VERB
bracis-19092	203	7	better	well	ADJ
bracis-19092	203	8	results	result	NOUN
bracis-19092	203	9	than	than	SCONJ
bracis-19092	203	10	both	both	CCONJ
bracis-19092	203	11	experiments	experiment	NOUN
bracis-19092	203	12	5	5	NUM
bracis-19092	203	13	and	and	CCONJ
bracis-19092	203	14	6	6	NUM
bracis-19092	203	15	in	in	ADP
bracis-19092	203	16	the	the	DET
bracis-19092	203	17	vctk	vctk	PROPN
bracis-19092	203	18	dataset	dataset	PROPN
bracis-19092	203	19	.	.	PUNCT
bracis-19092	204	1	in	in	ADP
bracis-19092	204	2	experiment	experiment	NOUN
bracis-19092	204	3	5	5	NUM
bracis-19092	204	4	we	we	PRON
bracis-19092	204	5	observed	observe	VERB
bracis-19092	204	6	better	well	ADJ
bracis-19092	204	7	results	result	NOUN
bracis-19092	204	8	in	in	ADP
bracis-19092	204	9	3	3	NUM
bracis-19092	204	10	of	of	ADP
bracis-19092	204	11	the	the	DET
bracis-19092	204	12	4	4	NUM
bracis-19092	204	13	evaluated	evaluated	ADJ
bracis-19092	204	14	subsets	subset	NOUN
bracis-19092	204	15	,	,	PUNCT
bracis-19092	204	16	when	when	SCONJ
bracis-19092	204	17	compared	compare	VERB
bracis-19092	204	18	with	with	ADP
bracis-19092	204	19	experiment	experiment	NOUN
bracis-19092	204	20	4	4	NUM
bracis-19092	204	21	.	.	PUNCT
bracis-19092	205	1	this	this	PRON
bracis-19092	205	2	was	be	AUX
bracis-19092	205	3	expected	expect	VERB
bracis-19092	205	4	due	due	ADP
bracis-19092	205	5	to	to	ADP
bracis-19092	205	6	the	the	DET
bracis-19092	205	7	model	model	NOUN
bracis-19092	205	8	in	in	ADP
bracis-19092	205	9	experiment	experiment	NOUN
bracis-19092	205	10	5	5	NUM
bracis-19092	205	11	having	have	VERB
bracis-19092	205	12	access	access	NOUN
bracis-19092	205	13	to	to	ADP
bracis-19092	205	14	more	more	ADJ
bracis-19092	205	15	than	than	ADP
bracis-19092	205	16	1.996	1.996	NUM
bracis-19092	205	17	 	 	SPACE
bracis-19092	205	18	h	h	NOUN
bracis-19092	205	19	of	of	ADP
bracis-19092	205	20	speech	speech	NOUN
bracis-19092	205	21	and	and	CCONJ
bracis-19092	205	22	6.960	6.960	NUM
bracis-19092	205	23	speakers	speaker	NOUN
bracis-19092	205	24	.	.	PUNCT
bracis-19092	206	1	in	in	ADP
bracis-19092	206	2	addition	addition	NOUN
bracis-19092	206	3	,	,	PUNCT
bracis-19092	206	4	the	the	DET
bracis-19092	206	5	experiment	experiment	NOUN
bracis-19092	206	6	4	4	NUM
bracis-19092	206	7	’s	’s	PART
bracis-19092	206	8	training	training	NOUN
bracis-19092	206	9	dataset	dataset	NOUN
bracis-19092	206	10	has	have	VERB
bracis-19092	206	11	only	only	ADV
bracis-19092	206	12	male	male	ADJ
bracis-19092	206	13	voices	voice	NOUN
bracis-19092	206	14	,	,	PUNCT
bracis-19092	206	15	as	as	SCONJ
bracis-19092	206	16	the	the	DET
bracis-19092	206	17	reconstruction	reconstruction	NOUN
bracis-19092	206	18	of	of	ADP
bracis-19092	206	19	a	a	DET
bracis-19092	206	20	female	female	ADJ
bracis-19092	206	21	voice	voice	NOUN
bracis-19092	206	22	is	be	AUX
bracis-19092	206	23	different	different	ADJ
bracis-19092	206	24	and	and	CCONJ
bracis-19092	206	25	the	the	DET
bracis-19092	206	26	vctk	vctk	PROPN
bracis-19092	206	27	and	and	CCONJ
bracis-19092	206	28	common	common	ADJ
bracis-19092	206	29	voice	voice	NOUN
bracis-19092	206	30	datasets	dataset	NOUN
bracis-19092	206	31	have	have	VERB
bracis-19092	206	32	female	female	ADJ
bracis-19092	206	33	speakers	speaker	NOUN
bracis-19092	206	34	this	this	PRON
bracis-19092	206	35	should	should	AUX
bracis-19092	206	36	cause	cause	VERB
bracis-19092	206	37	a	a	DET
bracis-19092	206	38	decrease	decrease	NOUN
bracis-19092	206	39	of	of	ADP
bracis-19092	206	40	performance	performance	NOUN
bracis-19092	206	41	at	at	ADP
bracis-19092	206	42	test	test	NOUN
bracis-19092	206	43	time	time	NOUN
bracis-19092	206	44	.	.	PUNCT
bracis-19092	207	1	another	another	DET
bracis-19092	207	2	point	point	NOUN
bracis-19092	207	3	is	be	AUX
bracis-19092	207	4	that	that	SCONJ
bracis-19092	207	5	the	the	DET
bracis-19092	207	6	training	training	NOUN
bracis-19092	207	7	dataset	dataset	NOUN
bracis-19092	207	8	used	use	VERB
bracis-19092	207	9	in	in	ADP
bracis-19092	207	10	experiment	experiment	NOUN
bracis-19092	207	11	4	4	NUM
bracis-19092	207	12	is	be	AUX
bracis-19092	207	13	a	a	DET
bracis-19092	207	14	high	high	ADJ
bracis-19092	207	15	quality	quality	NOUN
bracis-19092	207	16	dataset	dataset	VERB
bracis-19092	207	17	with	with	ADP
bracis-19092	207	18	low	low	ADJ
bracis-19092	207	19	background	background	NOUN
bracis-19092	207	20	noise	noise	NOUN
bracis-19092	207	21	,	,	PUNCT
bracis-19092	207	22	so	so	SCONJ
bracis-19092	207	23	the	the	DET
bracis-19092	207	24	model	model	NOUN
bracis-19092	207	25	probably	probably	ADV
bracis-19092	207	26	did	do	AUX
bracis-19092	207	27	not	not	PART
bracis-19092	207	28	learn	learn	VERB
bracis-19092	207	29	to	to	PART
bracis-19092	207	30	ignore	ignore	VERB
bracis-19092	207	31	or	or	CCONJ
bracis-19092	207	32	filter	filter	VERB
bracis-19092	207	33	out	out	ADP
bracis-19092	207	34	noise	noise	NOUN
bracis-19092	207	35	,	,	PUNCT
bracis-19092	207	36	probably	probably	ADV
bracis-19092	207	37	harming	harm	VERB
bracis-19092	207	38	the	the	DET
bracis-19092	207	39	reconstruction	reconstruction	NOUN
bracis-19092	207	40	of	of	ADP
bracis-19092	207	41	the	the	DET
bracis-19092	207	42	/a/	/a/	NOUN
bracis-19092	207	43	phoneme	phoneme	NOUN
bracis-19092	207	44	.	.	PUNCT
bracis-19092	208	1	despite	despite	SCONJ
bracis-19092	208	2	audio	audio	ADJ
bracis-19092	208	3	quality	quality	NOUN
bracis-19092	208	4	and	and	CCONJ
bracis-19092	208	5	low	low	ADJ
bracis-19092	208	6	noise	noise	NOUN
bracis-19092	208	7	facilitate	facilitate	NOUN
bracis-19092	208	8	learning	learning	NOUN
bracis-19092	208	9	during	during	ADP
bracis-19092	208	10	training	training	NOUN
bracis-19092	208	11	,	,	PUNCT
bracis-19092	208	12	the	the	DET
bracis-19092	208	13	model	model	NOUN
bracis-19092	208	14	may	may	AUX
bracis-19092	208	15	be	be	AUX
bracis-19092	208	16	impaired	impair	VERB
bracis-19092	208	17	in	in	ADP
bracis-19092	208	18	a	a	DET
bracis-19092	208	19	noisy	noisy	ADJ
bracis-19092	208	20	situation	situation	NOUN
bracis-19092	208	21	which	which	PRON
bracis-19092	208	22	is	be	AUX
bracis-19092	208	23	a	a	DET
bracis-19092	208	24	scenario	scenario	NOUN
bracis-19092	208	25	observed	observe	VERB
bracis-19092	208	26	in	in	ADP
bracis-19092	208	27	other	other	ADJ
bracis-19092	208	28	domains	domain	NOUN
bracis-19092	208	29	such	such	ADJ
bracis-19092	208	30	as	as	ADP
bracis-19092	208	31	images	image	NOUN
bracis-19092	208	32	 	 	SPACE
bracis-19092	208	33	[	[	X
bracis-19092	208	34	24	24	NUM
bracis-19092	208	35	]	]	PUNCT
bracis-19092	208	36	.	.	PUNCT
bracis-19092	209	1	its	its	PRON
bracis-19092	209	2	better	well	ADJ
bracis-19092	209	3	overall	overall	ADJ
bracis-19092	209	4	performance	performance	NOUN
bracis-19092	209	5	in	in	ADP
bracis-19092	209	6	the	the	DET
bracis-19092	209	7	vctk	vctk	PROPN
bracis-19092	209	8	dataset	dataset	PROPN
bracis-19092	209	9	,	,	PUNCT
bracis-19092	209	10	also	also	ADV
bracis-19092	209	11	high	high	ADJ
bracis-19092	209	12	quality	quality	NOUN
bracis-19092	209	13	and	and	CCONJ
bracis-19092	209	14	low	low	ADJ
bracis-19092	209	15	noise	noise	NOUN
bracis-19092	209	16	,	,	PUNCT
bracis-19092	209	17	built	build	VERB
bracis-19092	209	18	for	for	ADP
bracis-19092	209	19	speech	speech	NOUN
bracis-19092	209	20	synthesis	synthesis	NOUN
bracis-19092	209	21	and	and	CCONJ
bracis-19092	209	22	voice	voice	NOUN
bracis-19092	209	23	transfer	transfer	NOUN
bracis-19092	209	24	applications	application	NOUN
bracis-19092	209	25	,	,	PUNCT
bracis-19092	209	26	is	be	AUX
bracis-19092	209	27	yet	yet	ADV
bracis-19092	209	28	another	another	PRON
bracis-19092	210	1	evidence	evidence	NOUN
bracis-19092	211	1	for	for	ADP
bracis-19092	211	2	this	this	DET
bracis-19092	211	3	behavior	behavior	NOUN
bracis-19092	211	4	.	.	PUNCT
bracis-19092	212	1	the	the	DET
bracis-19092	212	2	performance	performance	NOUN
bracis-19092	212	3	of	of	ADP
bracis-19092	212	4	the	the	DET
bracis-19092	212	5	model	model	NOUN
bracis-19092	212	6	drops	drop	NOUN
bracis-19092	212	7	,	,	PUNCT
bracis-19092	212	8	compared	compare	VERB
bracis-19092	212	9	to	to	ADP
bracis-19092	212	10	experiment	experiment	NOUN
bracis-19092	212	11	5	5	NUM
bracis-19092	212	12	,	,	PUNCT
bracis-19092	212	13	when	when	SCONJ
bracis-19092	212	14	the	the	DET
bracis-19092	212	15	model	model	NOUN
bracis-19092	212	16	is	be	AUX
bracis-19092	212	17	used	use	VERB
bracis-19092	212	18	in	in	ADP
bracis-19092	212	19	audios	audio	NOUN
bracis-19092	212	20	recorded	record	VERB
bracis-19092	212	21	in	in	ADP
bracis-19092	212	22	uncontrolled	uncontrolled	ADJ
bracis-19092	212	23	environments	environment	NOUN
bracis-19092	212	24	such	such	ADJ
bracis-19092	212	25	as	as	ADP
bracis-19092	212	26	common	common	ADJ
bracis-19092	212	27	voice	voice	NOUN
bracis-19092	212	28	.	.	PUNCT
bracis-19092	213	1	in	in	ADP
bracis-19092	213	2	experiments	experiment	NOUN
bracis-19092	213	3	5	5	NUM
bracis-19092	213	4	and	and	CCONJ
bracis-19092	213	5	6	6	NUM
bracis-19092	213	6	we	we	PRON
bracis-19092	213	7	verified	verify	VERB
bracis-19092	213	8	what	what	PRON
bracis-19092	213	9	has	have	AUX
bracis-19092	213	10	already	already	ADV
bracis-19092	213	11	been	be	AUX
bracis-19092	213	12	shown	show	VERB
bracis-19092	213	13	in	in	ADP
bracis-19092	213	14	[	[	X
bracis-19092	213	15	8	8	NUM
bracis-19092	213	16	]	]	PUNCT
bracis-19092	213	17	,	,	PUNCT
bracis-19092	213	18	that	that	SCONJ
bracis-19092	213	19	the	the	DET
bracis-19092	213	20	fast	fast	ADJ
bracis-19092	213	21	resnet–34	resnet–34	NOUN
bracis-19092	213	22	model	model	NOUN
bracis-19092	213	23	trained	train	VERB
bracis-19092	213	24	with	with	ADP
bracis-19092	213	25	the	the	DET
bracis-19092	213	26	angleproto	angleproto	NOUN
bracis-19092	213	27	loss	loss	NOUN
bracis-19092	213	28	function	function	NOUN
bracis-19092	213	29	in	in	ADP
bracis-19092	213	30	the	the	DET
bracis-19092	213	31	voxceleb	voxceleb	NOUN
bracis-19092	213	32	dataset	dataset	NOUN
bracis-19092	213	33	obtains	obtain	VERB
bracis-19092	213	34	an	an	DET
bracis-19092	213	35	eer	eer	NOUN
bracis-19092	213	36	higher	high	ADJ
bracis-19092	213	37	than	than	ADP
bracis-19092	213	38	the	the	DET
bracis-19092	213	39	same	same	ADJ
bracis-19092	213	40	model	model	NOUN
bracis-19092	213	41	trained	train	VERB
bracis-19092	213	42	with	with	ADP
bracis-19092	213	43	the	the	DET
bracis-19092	213	44	ge2e	ge2e	NOUN
bracis-19092	213	45	loss	loss	NOUN
bracis-19092	213	46	function	function	NOUN
bracis-19092	213	47	.	.	PUNCT
bracis-19092	214	1	however	however	ADV
bracis-19092	214	2	,	,	PUNCT
bracis-19092	214	3	the	the	DET
bracis-19092	214	4	authors	author	NOUN
bracis-19092	214	5	in	in	ADP
bracis-19092	214	6	their	their	PRON
bracis-19092	214	7	work	work	NOUN
bracis-19092	214	8	compared	compare	VERB
bracis-19092	214	9	the	the	DET
bracis-19092	214	10	models	model	NOUN
bracis-19092	214	11	only	only	ADV
bracis-19092	214	12	in	in	ADP
bracis-19092	214	13	the	the	DET
bracis-19092	214	14	voxceleb	voxceleb	PROPN
bracis-19092	214	15	test	test	NOUN
bracis-19092	214	16	dataset	dataset	VERB
bracis-19092	214	17	,	,	PUNCT
bracis-19092	214	18	we	we	PRON
bracis-19092	214	19	on	on	ADP
bracis-19092	214	20	the	the	DET
bracis-19092	214	21	other	other	ADJ
bracis-19092	214	22	hand	hand	NOUN
bracis-19092	214	23	,	,	PUNCT
bracis-19092	214	24	made	make	VERB
bracis-19092	214	25	a	a	DET
bracis-19092	214	26	comparison	comparison	NOUN
bracis-19092	214	27	using	use	VERB
bracis-19092	214	28	4	4	NUM
bracis-19092	214	29	different	different	ADJ
bracis-19092	214	30	languages	language	NOUN
bracis-19092	214	31	and	and	CCONJ
bracis-19092	214	32	different	different	ADJ
bracis-19092	214	33	datasets	dataset	NOUN
bracis-19092	214	34	,	,	PUNCT
bracis-19092	214	35	thus	thus	ADV
bracis-19092	214	36	making	make	VERB
bracis-19092	214	37	a	a	DET
bracis-19092	214	38	broader	broad	ADJ
bracis-19092	214	39	comparison	comparison	NOUN
bracis-19092	214	40	.	.	PUNCT
bracis-19092	215	1	an	an	DET
bracis-19092	215	2	important	important	ADJ
bracis-19092	215	3	consideration	consideration	NOUN
bracis-19092	215	4	is	be	AUX
bracis-19092	215	5	that	that	SCONJ
bracis-19092	215	6	given	give	VERB
bracis-19092	215	7	the	the	DET
bracis-19092	215	8	way	way	NOUN
bracis-19092	215	9	we	we	PRON
bracis-19092	215	10	propose	propose	VERB
bracis-19092	215	11	our	our	PRON
bracis-19092	215	12	experiments	experiment	NOUN
bracis-19092	215	13	,	,	PUNCT
bracis-19092	215	14	we	we	PRON
bracis-19092	215	15	can	can	AUX
bracis-19092	215	16	not	not	PART
bracis-19092	215	17	say	say	VERB
bracis-19092	215	18	that	that	DET
bracis-19092	215	19	language	language	NOUN
bracis-19092	215	20	is	be	AUX
bracis-19092	215	21	a	a	DET
bracis-19092	215	22	factor	factor	NOUN
bracis-19092	215	23	that	that	PRON
bracis-19092	215	24	decreases	decrease	VERB
bracis-19092	215	25	or	or	CCONJ
bracis-19092	215	26	increases	increase	VERB
bracis-19092	215	27	the	the	DET
bracis-19092	215	28	performance	performance	NOUN
bracis-19092	215	29	of	of	ADP
bracis-19092	215	30	the	the	DET
bracis-19092	215	31	models	model	NOUN
bracis-19092	215	32	.	.	PUNCT
bracis-19092	216	1	the	the	DET
bracis-19092	216	2	high	high	ADJ
bracis-19092	216	3	values	value	NOUN
bracis-19092	216	4	of	of	ADP
bracis-19092	216	5	eer	eer	NOUN
bracis-19092	216	6	in	in	ADP
bracis-19092	216	7	the	the	DET
bracis-19092	216	8	english	english	ADJ
bracis-19092	216	9	language	language	NOUN
bracis-19092	216	10	,	,	PUNCT
bracis-19092	216	11	for	for	ADP
bracis-19092	216	12	example	example	NOUN
bracis-19092	216	13	,	,	PUNCT
bracis-19092	216	14	are	be	AUX
bracis-19092	216	15	due	due	ADJ
bracis-19092	216	16	to	to	ADP
bracis-19092	216	17	the	the	DET
bracis-19092	216	18	way	way	NOUN
bracis-19092	216	19	the	the	DET
bracis-19092	216	20	speaker	speaker	NOUN
bracis-19092	216	21	verification	verification	NOUN
bracis-19092	216	22	dataset	dataset	NOUN
bracis-19092	216	23	was	be	AUX
bracis-19092	216	24	set	set	VERB
bracis-19092	216	25	up	up	ADP
bracis-19092	216	26	.	.	PUNCT
bracis-19092	217	1	the	the	DET
bracis-19092	217	2	vctk	vctk	PROPN
bracis-19092	217	3	has	have	VERB
bracis-19092	217	4	only	only	ADV
bracis-19092	217	5	109	109	NUM
bracis-19092	217	6	speakers	speaker	NOUN
bracis-19092	217	7	and	and	CCONJ
bracis-19092	217	8	many	many	ADJ
bracis-19092	217	9	samples	sample	NOUN
bracis-19092	217	10	were	be	AUX
bracis-19092	217	11	considered	consider	VERB
bracis-19092	217	12	for	for	ADP
bracis-19092	217	13	each	each	DET
bracis-19092	217	14	speaker	speaker	NOUN
bracis-19092	217	15	as	as	SCONJ
bracis-19092	217	16	can	can	AUX
bracis-19092	217	17	be	be	AUX
bracis-19092	217	18	seen	see	VERB
bracis-19092	217	19	in	in	ADP
bracis-19092	217	20	table	table	NOUN
bracis-19092	217	21	 	 	SPACE
bracis-19092	217	22	1	1	NUM
bracis-19092	217	23	.	.	PUNCT
bracis-19092	218	1	a	a	DET
bracis-19092	218	2	greater	great	ADJ
bracis-19092	218	3	number	number	NOUN
bracis-19092	218	4	of	of	ADP
bracis-19092	218	5	test	test	NOUN
bracis-19092	218	6	instances	instance	NOUN
bracis-19092	218	7	make	make	VERB
bracis-19092	218	8	the	the	DET
bracis-19092	218	9	task	task	NOUN
bracis-19092	218	10	more	more	ADV
bracis-19092	218	11	difficult	difficult	ADJ
bracis-19092	218	12	and	and	CCONJ
bracis-19092	218	13	tend	tend	VERB
bracis-19092	218	14	to	to	PART
bracis-19092	218	15	increase	increase	VERB
bracis-19092	218	16	the	the	DET
bracis-19092	218	17	eer	eer	PROPN
bracis-19092	218	18	values	value	NOUN
bracis-19092	218	19	.	.	PUNCT
bracis-19092	219	1	therefore	therefore	ADV
bracis-19092	219	2	,	,	PUNCT
bracis-19092	219	3	we	we	PRON
bracis-19092	219	4	can	can	AUX
bracis-19092	219	5	only	only	ADV
bracis-19092	219	6	compare	compare	VERB
bracis-19092	219	7	the	the	DET
bracis-19092	219	8	individual	individual	ADJ
bracis-19092	219	9	performance	performance	NOUN
bracis-19092	219	10	of	of	ADP
bracis-19092	219	11	each	each	DET
bracis-19092	219	12	model	model	NOUN
bracis-19092	219	13	in	in	ADP
bracis-19092	219	14	the	the	DET
bracis-19092	219	15	datasets	dataset	NOUN
bracis-19092	219	16	and	and	CCONJ
bracis-19092	219	17	we	we	PRON
bracis-19092	219	18	can	can	AUX
bracis-19092	219	19	not	not	PART
bracis-19092	219	20	discuss	discuss	VERB
bracis-19092	219	21	decrease	decrease	NOUN
bracis-19092	219	22	or	or	CCONJ
bracis-19092	219	23	increase	increase	VERB
bracis-19092	219	24	in	in	ADP
bracis-19092	219	25	performance	performance	NOUN
bracis-19092	219	26	with	with	ADP
bracis-19092	219	27	the	the	DET
bracis-19092	219	28	language	language	NOUN
bracis-19092	219	29	change	change	NOUN
bracis-19092	219	30	.	.	PUNCT
bracis-19092	220	1	5	5	NUM
bracis-19092	220	2	conclusions	conclusion	NOUN
bracis-19092	220	3	and	and	CCONJ
bracis-19092	220	4	future	future	ADJ
bracis-19092	220	5	work	work	NOUN
bracis-19092	220	6	in	in	ADP
bracis-19092	220	7	this	this	DET
bracis-19092	220	8	article	article	NOUN
bracis-19092	220	9	,	,	PUNCT
bracis-19092	220	10	we	we	PRON
bracis-19092	220	11	proposed	propose	VERB
bracis-19092	220	12	a	a	DET
bracis-19092	220	13	novel	novel	ADJ
bracis-19092	220	14	training	training	NOUN
bracis-19092	220	15	method	method	NOUN
bracis-19092	220	16	for	for	ADP
bracis-19092	220	17	speaker	speaker	NOUN
bracis-19092	220	18	recognition	recognition	NOUN
bracis-19092	220	19	models	model	NOUN
bracis-19092	220	20	,	,	PUNCT
bracis-19092	220	21	called	call	VERB
bracis-19092	220	22	speech2phone	speech2phone	NOUN
bracis-19092	220	23	.	.	PUNCT
bracis-19092	221	1	to	to	PART
bracis-19092	221	2	enable	enable	VERB
bracis-19092	221	3	the	the	DET
bracis-19092	221	4	training	training	NOUN
bracis-19092	221	5	of	of	ADP
bracis-19092	221	6	this	this	DET
bracis-19092	221	7	method	method	NOUN
bracis-19092	221	8	,	,	PUNCT
bracis-19092	221	9	we	we	PRON
bracis-19092	221	10	also	also	ADV
bracis-19092	221	11	built	build	VERB
bracis-19092	221	12	a	a	DET
bracis-19092	221	13	novel	novel	ADJ
bracis-19092	221	14	dataset	dataset	NOUN
bracis-19092	221	15	.	.	PUNCT
bracis-19092	222	1	fully	fully	ADV
bracis-19092	222	2	connected	connect	VERB
bracis-19092	222	3	,	,	PUNCT
bracis-19092	222	4	fully	fully	ADV
bracis-19092	222	5	convolutional	convolutional	ADJ
bracis-19092	222	6	and	and	CCONJ
bracis-19092	222	7	recurring	recur	VERB
bracis-19092	222	8	models	model	NOUN
bracis-19092	222	9	were	be	AUX
bracis-19092	222	10	explored	explore	VERB
bracis-19092	222	11	.	.	PUNCT
bracis-19092	223	1	we	we	PRON
bracis-19092	223	2	observed	observe	VERB
bracis-19092	223	3	that	that	SCONJ
bracis-19092	223	4	the	the	DET
bracis-19092	223	5	fully	fully	ADV
bracis-19092	223	6	connected	connected	ADJ
bracis-19092	223	7	models	model	NOUN
bracis-19092	223	8	have	have	VERB
bracis-19092	223	9	a	a	DET
bracis-19092	223	10	better	well	ADJ
bracis-19092	223	11	performance	performance	NOUN
bracis-19092	223	12	in	in	ADP
bracis-19092	223	13	open	open	ADJ
bracis-19092	223	14	-	-	PUNCT
bracis-19092	223	15	set	set	VERB
bracis-19092	223	16	scenarios	scenario	NOUN
bracis-19092	223	17	,	,	PUNCT
bracis-19092	223	18	although	although	SCONJ
bracis-19092	223	19	they	they	PRON
bracis-19092	223	20	have	have	AUX
bracis-19092	223	21	had	have	VERB
bracis-19092	223	22	the	the	DET
bracis-19092	223	23	worst	bad	ADJ
bracis-19092	223	24	performance	performance	NOUN
bracis-19092	223	25	for	for	ADP
bracis-19092	223	26	the	the	DET
bracis-19092	223	27	closed	closed	ADJ
bracis-19092	223	28	-	-	PUNCT
bracis-19092	223	29	set	set	VERB
bracis-19092	223	30	scenario	scenario	NOUN
bracis-19092	223	31	,	,	PUNCT
bracis-19092	223	32	while	while	SCONJ
bracis-19092	223	33	convolutional	convolutional	ADJ
bracis-19092	223	34	models	model	NOUN
bracis-19092	223	35	have	have	VERB
bracis-19092	223	36	a	a	DET
bracis-19092	223	37	better	well	ADJ
bracis-19092	223	38	performance	performance	NOUN
bracis-19092	223	39	in	in	ADP
bracis-19092	223	40	the	the	DET
bracis-19092	223	41	closed	closed	ADJ
bracis-19092	223	42	-	-	PUNCT
bracis-19092	223	43	set	set	VERB
bracis-19092	223	44	scenario	scenario	NOUN
bracis-19092	223	45	,	,	PUNCT
bracis-19092	223	46	but	but	CCONJ
bracis-19092	223	47	they	they	PRON
bracis-19092	223	48	do	do	AUX
bracis-19092	223	49	not	not	PART
bracis-19092	223	50	generalize	generalize	VERB
bracis-19092	223	51	well	well	ADV
bracis-19092	223	52	for	for	ADP
bracis-19092	223	53	the	the	DET
bracis-19092	223	54	open	open	ADJ
bracis-19092	223	55	-	-	PUNCT
bracis-19092	223	56	set	set	VERB
bracis-19092	223	57	scenario	scenario	NOUN
bracis-19092	223	58	.	.	PUNCT
bracis-19092	224	1	the	the	DET
bracis-19092	224	2	best	good	ADJ
bracis-19092	224	3	model	model	NOUN
bracis-19092	224	4	in	in	ADP
bracis-19092	224	5	our	our	PRON
bracis-19092	224	6	experiments	experiment	NOUN
bracis-19092	224	7	was	be	AUX
bracis-19092	224	8	trained	train	VERB
bracis-19092	224	9	on	on	ADP
bracis-19092	224	10	3	3	NUM
bracis-19092	224	11	 	 	SPACE
bracis-19092	224	12	h	h	NOUN
bracis-19092	224	13	and	and	CCONJ
bracis-19092	224	14	23	23	NUM
bracis-19092	224	15	 	 	SPACE
bracis-19092	224	16	min	min	NOUN
bracis-19092	224	17	of	of	ADP
bracis-19092	224	18	speech	speech	NOUN
bracis-19092	224	19	and	and	CCONJ
bracis-19092	224	20	compared	compare	VERB
bracis-19092	224	21	to	to	ADP
bracis-19092	224	22	two	two	NUM
bracis-19092	224	23	sota	sota	NOUN
bracis-19092	224	24	models	model	NOUN
bracis-19092	224	25	in	in	ADP
bracis-19092	224	26	the	the	DET
bracis-19092	224	27	voxceleb	voxceleb	NOUN
bracis-19092	224	28	dataset	dataset	NOUN
bracis-19092	224	29	,	,	PUNCT
bracis-19092	224	30	which	which	PRON
bracis-19092	224	31	were	be	AUX
bracis-19092	224	32	trained	train	VERB
bracis-19092	224	33	with	with	ADP
bracis-19092	224	34	approximately	approximately	ADV
bracis-19092	224	35	2000	2000	NUM
bracis-19092	224	36	 	 	SPACE
bracis-19092	224	37	h	h	NOUN
bracis-19092	224	38	of	of	ADP
bracis-19092	224	39	speech	speech	NOUN
bracis-19092	224	40	.	.	PUNCT
bracis-19092	225	1	the	the	DET
bracis-19092	225	2	results	result	NOUN
bracis-19092	225	3	obtained	obtain	VERB
bracis-19092	225	4	were	be	AUX
bracis-19092	225	5	comparable	comparable	ADJ
bracis-19092	225	6	to	to	ADP
bracis-19092	225	7	sota	sota	NOUN
bracis-19092	225	8	even	even	ADV
bracis-19092	225	9	with	with	ADP
bracis-19092	225	10	an	an	DET
bracis-19092	225	11	amount	amount	NOUN
bracis-19092	225	12	of	of	ADP
bracis-19092	225	13	data	datum	NOUN
bracis-19092	225	14	approximately	approximately	ADV
bracis-19092	225	15	500	500	NUM
bracis-19092	225	16	times	time	NOUN
bracis-19092	225	17	smaller	small	ADJ
bracis-19092	225	18	.	.	PUNCT
bracis-19092	226	1	this	this	DET
bracis-19092	226	2	work	work	NOUN
bracis-19092	226	3	contributes	contribute	VERB
bracis-19092	226	4	directly	directly	ADV
bracis-19092	226	5	to	to	ADP
bracis-19092	226	6	the	the	DET
bracis-19092	226	7	area	area	NOUN
bracis-19092	226	8	of	of	ADP
bracis-19092	226	9	speaker	speaker	NOUN
bracis-19092	226	10	recognition	recognition	PROPN
bracis-19092	226	11	,	,	PUNCT
bracis-19092	226	12	presenting	present	VERB
bracis-19092	226	13	a	a	DET
bracis-19092	226	14	promising	promising	ADJ
bracis-19092	226	15	method	method	NOUN
bracis-19092	226	16	for	for	ADP
bracis-19092	226	17	training	training	NOUN
bracis-19092	226	18	speaker	speaker	NOUN
bracis-19092	226	19	recognition	recognition	NOUN
bracis-19092	226	20	models	model	NOUN
bracis-19092	226	21	.	.	PUNCT
bracis-19092	227	1	in	in	ADP
bracis-19092	227	2	addition	addition	NOUN
bracis-19092	227	3	,	,	PUNCT
bracis-19092	227	4	the	the	DET
bracis-19092	227	5	model	model	NOUN
bracis-19092	227	6	proposed	propose	VERB
bracis-19092	227	7	here	here	ADV
bracis-19092	227	8	can	can	AUX
bracis-19092	227	9	be	be	AUX
bracis-19092	227	10	used	use	VERB
bracis-19092	227	11	in	in	ADP
bracis-19092	227	12	tasks	task	NOUN
bracis-19092	227	13	such	such	ADJ
bracis-19092	227	14	as	as	ADP
bracis-19092	227	15	speech	speech	NOUN
bracis-19092	227	16	synthesis	synthesis	NOUN
bracis-19092	227	17	[	[	X
bracis-19092	227	18	26	26	NUM
bracis-19092	227	19	]	]	PUNCT
bracis-19092	227	20	,	,	PUNCT
bracis-19092	227	21	voice	voice	NOUN
bracis-19092	227	22	cloning	cloning	NOUN
bracis-19092	228	1	[	[	X
bracis-19092	228	2	3	3	NUM
bracis-19092	228	3	]	]	PUNCT
bracis-19092	228	4	and	and	CCONJ
bracis-19092	228	5	multilingual	multilingual	ADJ
bracis-19092	228	6	speech	speech	NOUN
bracis-19092	228	7	conversion	conversion	NOUN
bracis-19092	229	1	[	[	X
bracis-19092	229	2	37	37	NUM
bracis-19092	229	3	]	]	PUNCT
bracis-19092	229	4	.	.	PUNCT
bracis-19092	230	1	in	in	ADP
bracis-19092	230	2	these	these	DET
bracis-19092	230	3	tasks	task	NOUN
bracis-19092	230	4	,	,	PUNCT
bracis-19092	230	5	the	the	DET
bracis-19092	230	6	speaker	speaker	NOUN
bracis-19092	230	7	recognition	recognition	NOUN
bracis-19092	230	8	system	system	NOUN
bracis-19092	230	9	embeddings	embedding	NOUN
bracis-19092	230	10	are	be	AUX
bracis-19092	230	11	used	use	VERB
bracis-19092	230	12	to	to	PART
bracis-19092	230	13	represent	represent	VERB
bracis-19092	230	14	the	the	DET
bracis-19092	230	15	speaker	speaker	NOUN
bracis-19092	230	16	.	.	PUNCT
bracis-19092	231	1	in	in	ADP
bracis-19092	231	2	addition	addition	NOUN
bracis-19092	231	3	,	,	PUNCT
bracis-19092	231	4	an	an	DET
bracis-19092	231	5	advantage	advantage	NOUN
bracis-19092	231	6	of	of	ADP
bracis-19092	231	7	speech2phone	speech2phone	NOUN
bracis-19092	231	8	in	in	ADP
bracis-19092	231	9	relation	relation	NOUN
bracis-19092	231	10	to	to	ADP
bracis-19092	231	11	the	the	DET
bracis-19092	231	12	models	model	NOUN
bracis-19092	231	13	proposed	propose	VERB
bracis-19092	231	14	in	in	ADP
bracis-19092	231	15	[	[	X
bracis-19092	231	16	8	8	NUM
bracis-19092	231	17	]	]	PUNCT
bracis-19092	231	18	is	be	AUX
bracis-19092	231	19	the	the	DET
bracis-19092	231	20	speed	speed	NOUN
bracis-19092	231	21	of	of	ADP
bracis-19092	231	22	execution	execution	NOUN
bracis-19092	231	23	,	,	PUNCT
bracis-19092	231	24	as	as	SCONJ
bracis-19092	231	25	our	our	PRON
bracis-19092	231	26	best	good	ADJ
bracis-19092	231	27	model	model	NOUN
bracis-19092	231	28	is	be	AUX
bracis-19092	231	29	a	a	DET
bracis-19092	231	30	fully	fully	ADV
bracis-19092	231	31	connected	connect	VERB
bracis-19092	231	32	shallow	shallow	ADJ
bracis-19092	231	33	neural	neural	ADJ
bracis-19092	231	34	network	network	NOUN
bracis-19092	231	35	,	,	PUNCT
bracis-19092	231	36	making	make	VERB
bracis-19092	231	37	it	it	PRON
bracis-19092	231	38	faster	fast	ADV
bracis-19092	231	39	.	.	PUNCT
bracis-19092	232	1	this	this	DET
bracis-19092	232	2	feature	feature	NOUN
bracis-19092	232	3	is	be	AUX
bracis-19092	232	4	very	very	ADV
bracis-19092	232	5	desirable	desirable	ADJ
bracis-19092	232	6	for	for	ADP
bracis-19092	232	7	applications	application	NOUN
bracis-19092	232	8	due	due	ADP
bracis-19092	232	9	to	to	ADP
bracis-19092	232	10	the	the	DET
bracis-19092	232	11	need	need	NOUN
bracis-19092	232	12	to	to	PART
bracis-19092	232	13	run	run	VERB
bracis-19092	232	14	in	in	ADP
bracis-19092	232	15	real	real	ADJ
bracis-19092	232	16	time	time	NOUN
bracis-19092	232	17	.	.	PUNCT
bracis-19092	233	1	as	as	SCONJ
bracis-19092	233	2	our	our	PRON
bracis-19092	233	3	model	model	NOUN
bracis-19092	233	4	demands	demand	VERB
bracis-19092	233	5	a	a	DET
bracis-19092	233	6	specific	specific	ADJ
bracis-19092	233	7	dataset	dataset	NOUN
bracis-19092	233	8	format	format	NOUN
bracis-19092	233	9	,	,	PUNCT
bracis-19092	233	10	we	we	PRON
bracis-19092	233	11	were	be	AUX
bracis-19092	233	12	not	not	PART
bracis-19092	233	13	able	able	ADJ
bracis-19092	233	14	to	to	PART
bracis-19092	233	15	evaluate	evaluate	VERB
bracis-19092	233	16	its	its	PRON
bracis-19092	233	17	training	training	NOUN
bracis-19092	233	18	in	in	ADP
bracis-19092	233	19	a	a	DET
bracis-19092	233	20	large	large	ADJ
bracis-19092	233	21	dataset	dataset	NOUN
bracis-19092	233	22	.	.	PUNCT
bracis-19092	234	1	we	we	PRON
bracis-19092	234	2	plan	plan	VERB
bracis-19092	234	3	to	to	PART
bracis-19092	234	4	address	address	VERB
bracis-19092	234	5	this	this	DET
bracis-19092	234	6	issue	issue	NOUN
bracis-19092	234	7	in	in	ADP
bracis-19092	234	8	future	future	ADJ
bracis-19092	234	9	works	work	NOUN
bracis-19092	234	10	.	.	PUNCT
bracis-19092	235	1	for	for	ADP
bracis-19092	235	2	this	this	PRON
bracis-19092	235	3	we	we	PRON
bracis-19092	235	4	intend	intend	VERB
bracis-19092	235	5	to	to	PART
bracis-19092	235	6	increase	increase	VERB
bracis-19092	235	7	the	the	DET
bracis-19092	235	8	model	model	NOUN
bracis-19092	235	9	’s	’s	PART
bracis-19092	235	10	training	training	NOUN
bracis-19092	235	11	dataset	dataset	VERB
bracis-19092	235	12	as	as	ADV
bracis-19092	235	13	much	much	ADV
bracis-19092	235	14	as	as	ADP
bracis-19092	235	15	possible	possible	ADJ
bracis-19092	235	16	,	,	PUNCT
bracis-19092	235	17	and	and	CCONJ
bracis-19092	235	18	make	make	VERB
bracis-19092	235	19	it	it	PRON
bracis-19092	235	20	public	public	ADJ
bracis-19092	235	21	.	.	PUNCT
bracis-19092	236	1	additionally	additionally	ADV
bracis-19092	236	2	,	,	PUNCT
bracis-19092	236	3	we	we	PRON
bracis-19092	236	4	intend	intend	VERB
bracis-19092	236	5	to	to	PART
bracis-19092	236	6	explore	explore	VERB
bracis-19092	236	7	the	the	DET
bracis-19092	236	8	use	use	NOUN
bracis-19092	236	9	of	of	ADP
bracis-19092	236	10	multispeaker	multispeaker	NOUN
bracis-19092	236	11	speech	speech	NOUN
bracis-19092	236	12	synthesis	synthesis	NOUN
bracis-19092	236	13	[	[	X
bracis-19092	236	14	9	9	NUM
bracis-19092	236	15	]	]	PUNCT
bracis-19092	236	16	and	and	CCONJ
bracis-19092	236	17	voice	voice	NOUN
bracis-19092	236	18	cloning	cloning	NOUN
bracis-19092	237	1	[	[	X
bracis-19092	237	2	3	3	NUM
bracis-19092	237	3	]	]	PUNCT
bracis-19092	237	4	to	to	PART
bracis-19092	237	5	generate	generate	VERB
bracis-19092	237	6	a	a	DET
bracis-19092	237	7	dataset	dataset	NOUN
bracis-19092	237	8	with	with	ADP
bracis-19092	237	9	more	more	ADJ
bracis-19092	237	10	speakers	speaker	NOUN
bracis-19092	237	11	and	and	CCONJ
bracis-19092	237	12	a	a	DET
bracis-19092	237	13	larger	large	ADJ
bracis-19092	237	14	vocabulary	vocabulary	NOUN
bracis-19092	237	15	.	.	PUNCT
bracis-19092	238	1	on	on	ADP
bracis-19092	238	2	the	the	DET
bracis-19092	238	3	other	other	ADJ
bracis-19092	238	4	hand	hand	NOUN
bracis-19092	238	5	,	,	PUNCT
bracis-19092	238	6	we	we	PRON
bracis-19092	238	7	intend	intend	VERB
bracis-19092	238	8	to	to	PART
bracis-19092	238	9	investigate	investigate	VERB
bracis-19092	238	10	the	the	DET
bracis-19092	238	11	possibility	possibility	NOUN
bracis-19092	238	12	of	of	ADP
bracis-19092	238	13	a	a	DET
bracis-19092	238	14	hybrid	hybrid	ADJ
bracis-19092	238	15	method	method	NOUN
bracis-19092	238	16	that	that	PRON
bracis-19092	238	17	uses	use	VERB
bracis-19092	238	18	a	a	DET
bracis-19092	238	19	speech2phone	speech2phone	NOUN
bracis-19092	238	20	technique	technique	NOUN
bracis-19092	238	21	and	and	CCONJ
bracis-19092	238	22	angular	angular	ADJ
bracis-19092	238	23	prototypical	prototypical	ADJ
bracis-19092	238	24	loss	loss	NOUN
bracis-19092	238	25	function	function	NOUN
bracis-19092	238	26	,	,	PUNCT
bracis-19092	238	27	thus	thus	ADV
bracis-19092	238	28	being	be	AUX
bracis-19092	238	29	able	able	ADJ
bracis-19092	238	30	to	to	PART
bracis-19092	238	31	learn	learn	VERB
bracis-19092	238	32	from	from	ADP
bracis-19092	238	33	a	a	DET
bracis-19092	238	34	larger	large	ADJ
bracis-19092	238	35	amount	amount	NOUN
bracis-19092	238	36	of	of	ADP
bracis-19092	238	37	data	datum	NOUN
bracis-19092	238	38	and	and	CCONJ
bracis-19092	238	39	at	at	ADP
bracis-19092	238	40	the	the	DET
bracis-19092	238	41	same	same	ADJ
bracis-19092	238	42	time	time	NOUN
bracis-19092	238	43	guide	guide	VERB
bracis-19092	238	44	the	the	DET
bracis-19092	238	45	model	model	NOUN
bracis-19092	238	46	’s	’s	PART
bracis-19092	238	47	learning	learn	VERB
bracis-19092	238	48	with	with	ADP
bracis-19092	238	49	the	the	DET
bracis-19092	238	50	reconstruction	reconstruction	NOUN
bracis-19092	238	51	of	of	ADP
bracis-19092	238	52	a	a	DET
bracis-19092	238	53	phonemefootnote	phonemefootnote	NOUN
bracis-19092	238	54	6	6	NUM
bracis-19092	238	55	.	.	PUNCT
bracis-19092	238	56	evaluating	evaluate	VERB
bracis-19092	238	57	the	the	DET
bracis-19092	238	58	limits	limit	NOUN
bracis-19092	238	59	of	of	ADP
bracis-19092	238	60	generalization	generalization	NOUN
bracis-19092	238	61	across	across	ADP
bracis-19092	238	62	different	different	ADJ
bracis-19092	238	63	languages	language	NOUN
bracis-19092	238	64	is	be	AUX
bracis-19092	238	65	also	also	ADV
bracis-19092	238	66	a	a	DET
bracis-19092	238	67	matter	matter	NOUN
bracis-19092	238	68	of	of	ADP
bracis-19092	238	69	future	future	ADJ
bracis-19092	238	70	investigation	investigation	NOUN
bracis-19092	238	71	.	.	PUNCT
bracis-19092	239	1	in	in	ADP
bracis-19092	239	2	addition	addition	NOUN
bracis-19092	239	3	,	,	PUNCT
bracis-19092	239	4	we	we	PRON
bracis-19092	239	5	intend	intend	VERB
bracis-19092	239	6	to	to	PART
bracis-19092	239	7	explore	explore	VERB
bracis-19092	239	8	the	the	DET
bracis-19092	239	9	insertion	insertion	NOUN
bracis-19092	239	10	of	of	ADP
bracis-19092	239	11	noise	noise	NOUN
bracis-19092	239	12	in	in	ADP
bracis-19092	239	13	the	the	DET
bracis-19092	239	14	training	training	NOUN
bracis-19092	239	15	dataset	dataset	NOUN
bracis-19092	239	16	in	in	ADP
bracis-19092	239	17	order	order	NOUN
bracis-19092	239	18	to	to	PART
bracis-19092	239	19	make	make	VERB
bracis-19092	239	20	the	the	DET
bracis-19092	239	21	model	model	NOUN
bracis-19092	239	22	more	more	ADV
bracis-19092	239	23	robust	robust	ADJ
bracis-19092	239	24	to	to	PART
bracis-19092	239	25	noisefootnote	noisefootnote	VERB
bracis-19092	239	26	7	7	NUM
bracis-19092	239	27	.	.	PUNCT
bracis-19092	239	28	notes	note	VERB
bracis-19092	239	29	1.https://github.com/edresson/speech2phone	1.https://github.com/edresson/speech2phone	NUM
bracis-19092	239	30	.	.	PUNCT
bracis-19092	240	1	2.https://github.com/edresson/speech2phone	2.https://github.com/edresson/speech2phone	NUM
bracis-19092	240	2	.	.	PUNCT
bracis-19092	241	1	3.https://github.com/wiseman/py-webrtcvad	3.https://github.com/wiseman/py-webrtcvad	NUM
bracis-19092	241	2	.	.	PUNCT
bracis-19092	242	1	4.https://github.com/edresson/speech2phone/tree/master/paper/eer-experiments	4.https://github.com/edresson/speech2phone/tree/master/paper/eer-experiments	NUM
bracis-19092	242	2	.	.	PUNCT
bracis-19092	243	1	5.https://github.com/clovaai/voxceleb_trainer	5.https://github.com/clovaai/voxceleb_trainer	X
bracis-19092	243	2	.	.	PUNCT
bracis-19092	244	1	6.https://cyberlabs.ai/.	6.https://cyberlabs.ai/.	NOUN
bracis-19092	244	2	7.https://www.pti.org.br/.	7.https://www.pti.org.br/.	NOUN
bracis-19092	244	3	references	reference	VERB
bracis-19092	244	4	abadi	abadi	PROPN
bracis-19092	244	5	,	,	PUNCT
bracis-19092	244	6	m.	m.	NOUN
bracis-19092	244	7	,	,	PUNCT
bracis-19092	244	8	et	et	PROPN
bracis-19092	244	9	al	al	PROPN
bracis-19092	244	10	.	.	PUNCT
bracis-19092	244	11	:	:	PUNCT
bracis-19092	245	1	tensorflow	tensorflow	NOUN
bracis-19092	245	2	:	:	PUNCT
bracis-19092	245	3	large	large	ADJ
bracis-19092	245	4	-	-	PUNCT
bracis-19092	245	5	scale	scale	NOUN
bracis-19092	245	6	machine	machine	NOUN
bracis-19092	245	7	learning	learn	VERB
bracis-19092	245	8	on	on	ADP
bracis-19092	245	9	heterogeneous	heterogeneous	ADJ
bracis-19092	245	10	distributed	distribute	VERB
bracis-19092	245	11	systems	system	NOUN
bracis-19092	245	12	.	.	PUNCT
bracis-19092	246	1	arxiv	arxiv	PROPN
bracis-19092	246	2	preprint	preprint	VERB
bracis-19092	246	3	arxiv:1603.04467	arxiv:1603.04467	ADV
bracis-19092	246	4	(	(	PUNCT
bracis-19092	246	5	2016	2016	NUM
bracis-19092	246	6	)	)	PUNCT
bracis-19092	246	7	ardila	ardila	PROPN
bracis-19092	246	8	,	,	PUNCT
bracis-19092	246	9	r.	r.	PROPN
bracis-19092	246	10	,	,	PUNCT
bracis-19092	246	11	et	et	PROPN
bracis-19092	246	12	al	al	PROPN
bracis-19092	246	13	.	.	PUNCT
bracis-19092	246	14	:	:	PUNCT
bracis-19092	247	1	common	common	ADJ
bracis-19092	247	2	voice	voice	NOUN
bracis-19092	247	3	:	:	PUNCT
bracis-19092	247	4	a	a	DET
bracis-19092	247	5	massively	massively	ADV
bracis-19092	247	6	-	-	PUNCT
bracis-19092	247	7	multilingual	multilingual	ADJ
bracis-19092	247	8	speech	speech	NOUN
bracis-19092	247	9	corpus	corpus	NOUN
bracis-19092	247	10	.	.	PUNCT
bracis-19092	248	1	in	in	ADP
bracis-19092	248	2	:	:	PUNCT
bracis-19092	248	3	proceedings	proceeding	NOUN
bracis-19092	248	4	of	of	ADP
bracis-19092	248	5	the	the	DET
bracis-19092	248	6	12th	12th	ADJ
bracis-19092	248	7	language	language	NOUN
bracis-19092	248	8	resources	resource	NOUN
bracis-19092	248	9	and	and	CCONJ
bracis-19092	248	10	evaluation	evaluation	NOUN
bracis-19092	248	11	conference	conference	NOUN
bracis-19092	248	12	,	,	PUNCT
bracis-19092	248	13	pp	pp	X
bracis-19092	248	14	.	.	PUNCT
bracis-19092	248	15	4218–4222	4218–4222	NOUN
bracis-19092	248	16	(	(	PUNCT
bracis-19092	248	17	2020	2020	NUM
bracis-19092	248	18	)	)	PUNCT
bracis-19092	248	19	google	google	PROPN
bracis-19092	248	20	scholar	scholar	NOUN
bracis-19092	248	21	  	  	SPACE
bracis-19092	248	22	arik	arik	PROPN
bracis-19092	248	23	,	,	PUNCT
bracis-19092	248	24	s.	s.	PROPN
bracis-19092	248	25	,	,	PUNCT
bracis-19092	248	26	chen	chen	PROPN
bracis-19092	248	27	,	,	PUNCT
bracis-19092	248	28	j.	j.	PROPN
bracis-19092	248	29	,	,	PUNCT
bracis-19092	248	30	peng	peng	PROPN
bracis-19092	248	31	,	,	PUNCT
bracis-19092	248	32	k.	k.	PROPN
bracis-19092	248	33	,	,	PUNCT
bracis-19092	248	34	ping	ping	PROPN
bracis-19092	248	35	,	,	PUNCT
bracis-19092	248	36	w.	w.	PROPN
bracis-19092	248	37	,	,	PUNCT
bracis-19092	248	38	zhou	zhou	PROPN
bracis-19092	248	39	,	,	PUNCT
bracis-19092	248	40	y.	y.	NOUN
bracis-19092	248	41	:	:	PUNCT
bracis-19092	248	42	neural	neural	ADJ
bracis-19092	248	43	voice	voice	NOUN
bracis-19092	248	44	cloning	clone	VERB
bracis-19092	248	45	with	with	ADP
bracis-19092	248	46	a	a	DET
bracis-19092	248	47	few	few	ADJ
bracis-19092	248	48	samples	sample	NOUN
bracis-19092	248	49	.	.	PUNCT
bracis-19092	249	1	in	in	ADP
bracis-19092	249	2	:	:	PUNCT
bracis-19092	249	3	advances	advance	NOUN
bracis-19092	249	4	in	in	ADP
bracis-19092	249	5	neural	neural	ADJ
bracis-19092	249	6	information	information	NOUN
bracis-19092	249	7	processing	processing	NOUN
bracis-19092	249	8	systems	system	NOUN
bracis-19092	249	9	,	,	PUNCT
bracis-19092	249	10	pp	pp	ADP
bracis-19092	249	11	.	.	PUNCT
bracis-19092	250	1	10019–10029	10019–10029	NUM
bracis-19092	250	2	(	(	PUNCT
bracis-19092	250	3	2018	2018	NUM
bracis-19092	250	4	)	)	PUNCT
bracis-19092	250	5	google	google	PROPN
bracis-19092	250	6	scholar	scholar	NOUN
bracis-19092	250	7	  	  	SPACE
bracis-19092	250	8	bowater	bowater	NOUN
bracis-19092	250	9	,	,	PUNCT
bracis-19092	250	10	r.j	r.j	PROPN
bracis-19092	250	11	.	.	PROPN
bracis-19092	250	12	,	,	PUNCT
bracis-19092	250	13	porter	porter	PROPN
bracis-19092	250	14	,	,	PUNCT
bracis-19092	250	15	l.l	l.l	PROPN
bracis-19092	250	16	.	.	PROPN
bracis-19092	250	17	:	:	PUNCT
bracis-19092	251	1	voice	voice	NOUN
bracis-19092	251	2	recognition	recognition	NOUN
bracis-19092	251	3	of	of	ADP
bracis-19092	251	4	telephone	telephone	NOUN
bracis-19092	251	5	conversations	conversation	NOUN
bracis-19092	251	6	.	.	PUNCT
bracis-19092	252	1	us	us	PROPN
bracis-19092	252	2	patent	patent	NOUN
bracis-19092	252	3	6,278,772	6,278,772	NUM
bracis-19092	252	4	(	(	PUNCT
bracis-19092	252	5	21	21	NUM
bracis-19092	252	6	august	august	PROPN
bracis-19092	252	7	2001	2001	NUM
bracis-19092	252	8	)	)	PUNCT
bracis-19092	252	9	google	google	PROPN
bracis-19092	252	10	scholar	scholar	NOUN
bracis-19092	252	11	  	  	SPACE
bracis-19092	252	12	bredin	bredin	NOUN
bracis-19092	252	13	,	,	PUNCT
bracis-19092	252	14	h.	h.	PROPN
bracis-19092	252	15	:	:	PUNCT
bracis-19092	252	16	tristounet	tristounet	NOUN
bracis-19092	252	17	:	:	PUNCT
bracis-19092	252	18	triplet	triplet	NOUN
bracis-19092	252	19	loss	loss	NOUN
bracis-19092	252	20	for	for	ADP
bracis-19092	252	21	speaker	speaker	NOUN
bracis-19092	252	22	turn	turn	VERB
bracis-19092	252	23	embedding	embed	VERB
bracis-19092	252	24	.	.	PUNCT
bracis-19092	253	1	in	in	ADP
bracis-19092	253	2	:	:	PUNCT
bracis-19092	253	3	2017	2017	NUM
bracis-19092	253	4	ieee	ieee	NOUN
bracis-19092	253	5	international	international	ADJ
bracis-19092	253	6	conference	conference	NOUN
bracis-19092	253	7	on	on	ADP
bracis-19092	253	8	acoustics	acoustic	NOUN
bracis-19092	253	9	,	,	PUNCT
bracis-19092	253	10	speech	speech	NOUN
bracis-19092	253	11	and	and	CCONJ
bracis-19092	253	12	signal	signal	NOUN
bracis-19092	253	13	processing	processing	NOUN
bracis-19092	253	14	(	(	PUNCT
bracis-19092	253	15	icassp	icassp	PROPN
bracis-19092	253	16	)	)	PUNCT
bracis-19092	253	17	,	,	PUNCT
bracis-19092	253	18	pp	pp	ADP
bracis-19092	253	19	.	.	PUNCT
bracis-19092	254	1	5430–5434	5430–5434	X
bracis-19092	254	2	.	.	PUNCT
bracis-19092	255	1	ieee	ieee	NOUN
bracis-19092	255	2	(	(	PUNCT
bracis-19092	255	3	2017	2017	NUM
bracis-19092	255	4	)	)	PUNCT
bracis-19092	255	5	google	google	PROPN
bracis-19092	255	6	scholar	scholar	NOUN
bracis-19092	255	7	  	  	SPACE
bracis-19092	255	8	cheng	cheng	PROPN
bracis-19092	255	9	,	,	PUNCT
bracis-19092	255	10	j.m	j.m	PROPN
bracis-19092	255	11	.	.	PROPN
bracis-19092	255	12	,	,	PUNCT
bracis-19092	255	13	wang	wang	PROPN
bracis-19092	255	14	,	,	PUNCT
bracis-19092	255	15	h.c	h.c	PROPN
bracis-19092	255	16	.	.	PUNCT
bracis-19092	255	17	:	:	PUNCT
bracis-19092	255	18	a	a	DET
bracis-19092	255	19	method	method	NOUN
bracis-19092	255	20	of	of	ADP
bracis-19092	255	21	estimating	estimate	VERB
bracis-19092	255	22	the	the	DET
bracis-19092	255	23	equal	equal	ADJ
bracis-19092	255	24	error	error	NOUN
bracis-19092	255	25	rate	rate	NOUN
bracis-19092	255	26	for	for	ADP
bracis-19092	255	27	automatic	automatic	ADJ
bracis-19092	255	28	speaker	speaker	NOUN
bracis-19092	255	29	verification	verification	NOUN
bracis-19092	255	30	.	.	PUNCT
bracis-19092	256	1	in	in	ADP
bracis-19092	256	2	:	:	PUNCT
bracis-19092	256	3	2004	2004	NUM
bracis-19092	256	4	international	international	ADJ
bracis-19092	256	5	symposium	symposium	NOUN
bracis-19092	256	6	on	on	ADP
bracis-19092	256	7	chinese	chinese	ADJ
bracis-19092	256	8	spoken	spoken	ADJ
bracis-19092	256	9	language	language	NOUN
bracis-19092	256	10	processing	processing	NOUN
bracis-19092	256	11	,	,	PUNCT
bracis-19092	256	12	pp	pp	ADJ
bracis-19092	256	13	.	.	PUNCT
bracis-19092	257	1	285–288	285–288	NUM
bracis-19092	257	2	.	.	PUNCT
bracis-19092	257	3	ieee	ieee	NOUN
bracis-19092	257	4	(	(	PUNCT
bracis-19092	257	5	2004	2004	NUM
bracis-19092	257	6	)	)	PUNCT
bracis-19092	257	7	google	google	PROPN
bracis-19092	257	8	scholar	scholar	NOUN
bracis-19092	257	9	  	  	SPACE
bracis-19092	257	10	chopra	chopra	PROPN
bracis-19092	257	11	,	,	PUNCT
bracis-19092	257	12	s.	s.	PROPN
bracis-19092	257	13	,	,	PUNCT
bracis-19092	257	14	hadsell	hadsell	PROPN
bracis-19092	257	15	,	,	PUNCT
bracis-19092	257	16	r.	r.	PROPN
bracis-19092	257	17	,	,	PUNCT
bracis-19092	257	18	lecun	lecun	ADJ
bracis-19092	257	19	,	,	PUNCT
bracis-19092	257	20	y.	y.	NOUN
bracis-19092	257	21	:	:	PUNCT
bracis-19092	257	22	learning	learn	VERB
bracis-19092	257	23	a	a	DET
bracis-19092	257	24	similarity	similarity	NOUN
bracis-19092	257	25	metric	metric	ADJ
bracis-19092	257	26	discriminatively	discriminatively	ADV
bracis-19092	257	27	,	,	PUNCT
bracis-19092	257	28	with	with	ADP
bracis-19092	257	29	application	application	NOUN
bracis-19092	257	30	to	to	PART
bracis-19092	257	31	face	face	VERB
bracis-19092	257	32	verification	verification	NOUN
bracis-19092	257	33	.	.	PUNCT
bracis-19092	258	1	in	in	ADP
bracis-19092	258	2	:	:	PUNCT
bracis-19092	258	3	2005	2005	NUM
bracis-19092	258	4	ieee	ieee	NOUN
bracis-19092	258	5	computer	computer	NOUN
bracis-19092	258	6	society	society	PROPN
bracis-19092	258	7	conference	conference	NOUN
bracis-19092	258	8	on	on	ADP
bracis-19092	258	9	computer	computer	NOUN
bracis-19092	258	10	vision	vision	NOUN
bracis-19092	258	11	and	and	CCONJ
bracis-19092	258	12	pattern	pattern	NOUN
bracis-19092	258	13	recognition	recognition	NOUN
bracis-19092	258	14	,	,	PUNCT
bracis-19092	258	15	cvpr	cvpr	NOUN
bracis-19092	258	16	2005	2005	NUM
bracis-19092	258	17	,	,	PUNCT
bracis-19092	258	18	vol	vol	NOUN
bracis-19092	258	19	.	.	PROPN
bracis-19092	258	20	1	1	NUM
bracis-19092	258	21	,	,	PUNCT
bracis-19092	258	22	pp	pp	ADJ
bracis-19092	258	23	.	.	PUNCT
bracis-19092	259	1	539–546	539–546	NUM
bracis-19092	259	2	.	.	PUNCT
bracis-19092	259	3	ieee	ieee	NOUN
bracis-19092	259	4	(	(	PUNCT
bracis-19092	259	5	2005	2005	NUM
bracis-19092	259	6	)	)	PUNCT
bracis-19092	259	7	google	google	PROPN
bracis-19092	259	8	scholar	scholar	NOUN
bracis-19092	259	9	  	  	SPACE
bracis-19092	259	10	chung	chung	PROPN
bracis-19092	259	11	,	,	PUNCT
bracis-19092	259	12	j.s	j.s	PROPN
bracis-19092	259	13	.	.	PROPN
bracis-19092	259	14	,	,	PUNCT
bracis-19092	259	15	et	et	PROPN
bracis-19092	259	16	al	al	PROPN
bracis-19092	259	17	.	.	PUNCT
bracis-19092	259	18	:	:	PUNCT
bracis-19092	260	1	in	in	ADP
bracis-19092	260	2	defence	defence	NOUN
bracis-19092	260	3	of	of	ADP
bracis-19092	260	4	metric	metric	ADJ
bracis-19092	260	5	learning	learning	NOUN
bracis-19092	260	6	for	for	ADP
bracis-19092	260	7	speaker	speaker	NOUN
bracis-19092	260	8	recognition	recognition	NOUN
bracis-19092	260	9	.	.	PUNCT
bracis-19092	261	1	in	in	ADP
bracis-19092	261	2	:	:	PUNCT
bracis-19092	261	3	proceedings	proceeding	NOUN
bracis-19092	261	4	of	of	ADP
bracis-19092	261	5	the	the	DET
bracis-19092	261	6	interspeech	interspeech	NOUN
bracis-19092	261	7	2020	2020	NUM
bracis-19092	261	8	,	,	PUNCT
bracis-19092	261	9	pp	pp	ADV
bracis-19092	261	10	.	.	PUNCT
bracis-19092	262	1	2977–2981	2977–2981	NUM
bracis-19092	262	2	(	(	PUNCT
bracis-19092	262	3	2020	2020	NUM
bracis-19092	262	4	)	)	PUNCT
bracis-19092	262	5	google	google	PROPN
bracis-19092	262	6	scholar	scholar	NOUN
bracis-19092	262	7	  	  	SPACE
bracis-19092	262	8	cooper	cooper	NOUN
bracis-19092	262	9	,	,	PUNCT
bracis-19092	262	10	e.	e.	PROPN
bracis-19092	262	11	,	,	PUNCT
bracis-19092	262	12	et	et	PROPN
bracis-19092	262	13	al	al	PROPN
bracis-19092	262	14	.	.	PROPN
bracis-19092	262	15	:	:	PUNCT
bracis-19092	262	16	zero	zero	NUM
bracis-19092	262	17	-	-	PUNCT
bracis-19092	262	18	shot	shoot	VERB
bracis-19092	262	19	multi	multi	ADJ
bracis-19092	262	20	-	-	ADJ
bracis-19092	262	21	speaker	speaker	NOUN
bracis-19092	262	22	text	text	NOUN
bracis-19092	262	23	-	-	PUNCT
bracis-19092	262	24	to	to	ADP
bracis-19092	262	25	-	-	PUNCT
bracis-19092	262	26	speech	speech	NOUN
bracis-19092	262	27	with	with	ADP
bracis-19092	262	28	state	state	NOUN
bracis-19092	262	29	-	-	PUNCT
bracis-19092	262	30	of	of	ADP
bracis-19092	262	31	-	-	PUNCT
bracis-19092	262	32	the	the	DET
bracis-19092	262	33	-	-	PUNCT
bracis-19092	262	34	art	art	NOUN
bracis-19092	262	35	neural	neural	ADJ
bracis-19092	262	36	speaker	speaker	NOUN
bracis-19092	262	37	embeddings	embedding	NOUN
bracis-19092	262	38	.	.	PUNCT
bracis-19092	263	1	in	in	ADP
bracis-19092	263	2	:	:	PUNCT
bracis-19092	263	3	2020	2020	NUM
bracis-19092	263	4	ieee	ieee	PROPN
bracis-19092	263	5	international	international	ADJ
bracis-19092	263	6	conference	conference	NOUN
bracis-19092	263	7	on	on	ADP
bracis-19092	263	8	acoustics	acoustic	NOUN
bracis-19092	263	9	,	,	PUNCT
bracis-19092	263	10	speech	speech	NOUN
bracis-19092	263	11	and	and	CCONJ
bracis-19092	263	12	signal	signal	NOUN
bracis-19092	263	13	processing	processing	NOUN
bracis-19092	263	14	(	(	PUNCT
bracis-19092	263	15	icassp	icassp	PROPN
bracis-19092	263	16	)	)	PUNCT
bracis-19092	263	17	,	,	PUNCT
bracis-19092	263	18	icassp	icassp	ADV
bracis-19092	263	19	2020	2020	NUM
bracis-19092	263	20	,	,	PUNCT
bracis-19092	263	21	pp	pp	ADV
bracis-19092	263	22	.	.	PUNCT
bracis-19092	263	23	6184–6188	6184–6188	NUM
bracis-19092	263	24	.	.	PUNCT
bracis-19092	263	25	ieee	ieee	NOUN
bracis-19092	263	26	(	(	PUNCT
bracis-19092	263	27	2020	2020	NUM
bracis-19092	263	28	)	)	PUNCT
bracis-19092	263	29	google	google	PROPN
bracis-19092	263	30	scholar	scholar	NOUN
bracis-19092	263	31	  	  	SPACE
bracis-19092	263	32	deng	deng	PROPN
bracis-19092	263	33	,	,	PUNCT
bracis-19092	263	34	j.	j.	PROPN
bracis-19092	263	35	,	,	PUNCT
bracis-19092	263	36	guo	guo	PROPN
bracis-19092	263	37	,	,	PUNCT
bracis-19092	263	38	j.	j.	PROPN
bracis-19092	263	39	,	,	PUNCT
bracis-19092	263	40	xue	xue	PROPN
bracis-19092	263	41	,	,	PUNCT
bracis-19092	263	42	n.	n.	NOUN
bracis-19092	263	43	,	,	PUNCT
bracis-19092	263	44	zafeiriou	zafeiriou	NOUN
bracis-19092	263	45	,	,	PUNCT
bracis-19092	263	46	s.	s.	PROPN
bracis-19092	263	47	:	:	PUNCT
bracis-19092	263	48	arcface	arcface	NOUN
bracis-19092	263	49	:	:	PUNCT
bracis-19092	263	50	additive	additive	ADJ
bracis-19092	263	51	angular	angular	ADJ
bracis-19092	263	52	margin	margin	NOUN
bracis-19092	263	53	loss	loss	NOUN
bracis-19092	263	54	for	for	ADP
bracis-19092	263	55	deep	deep	ADJ
bracis-19092	263	56	face	face	NOUN
bracis-19092	263	57	recognition	recognition	NOUN
bracis-19092	263	58	.	.	PUNCT
bracis-19092	264	1	in	in	ADP
bracis-19092	264	2	:	:	PUNCT
bracis-19092	264	3	proceedings	proceeding	NOUN
bracis-19092	264	4	of	of	ADP
bracis-19092	264	5	the	the	DET
bracis-19092	264	6	ieee	ieee	NOUN
bracis-19092	264	7	conference	conference	NOUN
bracis-19092	264	8	on	on	ADP
bracis-19092	264	9	computer	computer	NOUN
bracis-19092	264	10	vision	vision	NOUN
bracis-19092	264	11	and	and	CCONJ
bracis-19092	264	12	pattern	pattern	NOUN
bracis-19092	264	13	recognition	recognition	NOUN
bracis-19092	264	14	,	,	PUNCT
bracis-19092	264	15	pp	pp	X
bracis-19092	264	16	.	.	PUNCT
bracis-19092	265	1	4690–4699	4690–4699	NUM
bracis-19092	265	2	(	(	PUNCT
bracis-19092	265	3	2019	2019	NUM
bracis-19092	265	4	)	)	PUNCT
bracis-19092	265	5	google	google	NOUN
bracis-19092	265	6	scholar	scholar	NOUN
bracis-19092	265	7	  	  	SPACE
bracis-19092	265	8	ertaş	ertaş	NOUN
bracis-19092	265	9	,	,	PUNCT
bracis-19092	265	10	f.	f.	PROPN
bracis-19092	265	11	:	:	PUNCT
bracis-19092	265	12	fundamentals	fundamental	NOUN
bracis-19092	265	13	of	of	ADP
bracis-19092	265	14	speaker	speaker	NOUN
bracis-19092	265	15	recognition	recognition	NOUN
bracis-19092	265	16	.	.	PUNCT
bracis-19092	266	1	pamukkale	pamukkale	PROPN
bracis-19092	266	2	üniversitesi	üniversitesi	PROPN
bracis-19092	266	3	mühendislik	mühendislik	PROPN
bracis-19092	266	4	bilimleri	bilimleri	PROPN
bracis-19092	266	5	dergisi	dergisi	PROPN
bracis-19092	266	6	6(2–3	6(2–3	PROPN
bracis-19092	266	7	)	)	PUNCT
bracis-19092	266	8	(	(	PUNCT
bracis-19092	266	9	2011	2011	NUM
bracis-19092	266	10	)	)	PUNCT
bracis-19092	266	11	google	google	PROPN
bracis-19092	266	12	scholar	scholar	NOUN
bracis-19092	266	13	  	  	SPACE
bracis-19092	266	14	ferrucci	ferrucci	NOUN
bracis-19092	266	15	,	,	PUNCT
bracis-19092	266	16	d.	d.	PROPN
bracis-19092	266	17	,	,	PUNCT
bracis-19092	266	18	et	et	PROPN
bracis-19092	266	19	al	al	PROPN
bracis-19092	266	20	.	.	PROPN
bracis-19092	266	21	:	:	PUNCT
bracis-19092	267	1	building	build	VERB
bracis-19092	267	2	watson	watson	PROPN
bracis-19092	267	3	:	:	PUNCT
bracis-19092	267	4	an	an	DET
bracis-19092	267	5	overview	overview	NOUN
bracis-19092	267	6	of	of	ADP
bracis-19092	267	7	the	the	DET
bracis-19092	267	8	deepqa	deepqa	NOUN
bracis-19092	267	9	project	project	NOUN
bracis-19092	267	10	.	.	PUNCT
bracis-19092	268	1	ai	ai	VERB
bracis-19092	268	2	mag	mag	PROPN
bracis-19092	268	3	.	.	PUNCT
bracis-19092	268	4	31(3	31(3	NUM
bracis-19092	268	5	)	)	PUNCT
bracis-19092	268	6	,	,	PUNCT
bracis-19092	268	7	59–79	59–79	ADV
bracis-19092	268	8	(	(	PUNCT
bracis-19092	268	9	2010	2010	NUM
bracis-19092	268	10	)	)	PUNCT
bracis-19092	268	11	google	google	PROPN
bracis-19092	268	12	scholar	scholar	NOUN
bracis-19092	268	13	  	  	SPACE
bracis-19092	268	14	goodfellow	goodfellow	PROPN
bracis-19092	268	15	,	,	PUNCT
bracis-19092	268	16	i.	i.	PROPN
bracis-19092	268	17	,	,	PUNCT
bracis-19092	268	18	bengio	bengio	PROPN
bracis-19092	268	19	,	,	PUNCT
bracis-19092	268	20	y.	y.	NOUN
bracis-19092	268	21	,	,	PUNCT
bracis-19092	268	22	courville	courville	NOUN
bracis-19092	268	23	,	,	PUNCT
bracis-19092	268	24	a.	a.	NOUN
bracis-19092	268	25	:	:	PUNCT
bracis-19092	268	26	deep	deep	ADJ
bracis-19092	268	27	learning	learning	NOUN
bracis-19092	268	28	.	.	PUNCT
bracis-19092	269	1	mit	mit	PROPN
bracis-19092	269	2	press	press	PROPN
bracis-19092	269	3	(	(	PUNCT
bracis-19092	269	4	2016	2016	NUM
bracis-19092	269	5	)	)	PUNCT
bracis-19092	269	6	.	.	PUNCT
bracis-19092	270	1	http://www.deeplearningbook.org	http://www.deeplearningbook.org	PROPN
bracis-19092	270	2	gruber	gruber	PROPN
bracis-19092	270	3	,	,	PUNCT
bracis-19092	270	4	t.	t.	PROPN
bracis-19092	270	5	:	:	PUNCT
bracis-19092	270	6	siri	siri	NOUN
bracis-19092	270	7	,	,	PUNCT
bracis-19092	270	8	a	a	DET
bracis-19092	270	9	virtual	virtual	ADJ
bracis-19092	270	10	personal	personal	ADJ
bracis-19092	270	11	assistant	assistant	NOUN
bracis-19092	270	12	-	-	PUNCT
bracis-19092	270	13	bringing	bring	VERB
bracis-19092	270	14	intelligence	intelligence	NOUN
bracis-19092	270	15	to	to	ADP
bracis-19092	270	16	the	the	DET
bracis-19092	270	17	interface	interface	NOUN
bracis-19092	270	18	(	(	PUNCT
bracis-19092	270	19	2009	2009	NUM
bracis-19092	270	20	)	)	PUNCT
bracis-19092	270	21	google	google	PROPN
bracis-19092	270	22	scholar	scholar	NOUN
bracis-19092	270	23	  	  	SPACE
bracis-19092	270	24	heo	heo	PROPN
bracis-19092	270	25	,	,	PUNCT
bracis-19092	270	26	h.s	h.s	PROPN
bracis-19092	270	27	.	.	PROPN
bracis-19092	270	28	,	,	PUNCT
bracis-19092	270	29	lee	lee	PROPN
bracis-19092	270	30	,	,	PUNCT
bracis-19092	270	31	b.j	b.j	PROPN
bracis-19092	270	32	.	.	PROPN
bracis-19092	270	33	,	,	PUNCT
bracis-19092	270	34	huh	huh	PROPN
bracis-19092	270	35	,	,	PUNCT
bracis-19092	270	36	j.	j.	PROPN
bracis-19092	270	37	,	,	PUNCT
bracis-19092	270	38	chung	chung	PROPN
bracis-19092	270	39	,	,	PUNCT
bracis-19092	270	40	j.s	j.s	PROPN
bracis-19092	270	41	.	.	PUNCT
bracis-19092	270	42	:	:	PUNCT
bracis-19092	270	43	clova	clova	PROPN
bracis-19092	270	44	baseline	baseline	NOUN
bracis-19092	270	45	system	system	NOUN
bracis-19092	270	46	for	for	ADP
bracis-19092	270	47	the	the	DET
bracis-19092	270	48	voxceleb	voxceleb	NOUN
bracis-19092	270	49	speaker	speaker	NOUN
bracis-19092	270	50	recognition	recognition	NOUN
bracis-19092	270	51	challenge	challenge	NOUN
bracis-19092	270	52	2020	2020	NUM
bracis-19092	270	53	.	.	PUNCT
bracis-19092	271	1	arxiv	arxiv	PROPN
bracis-19092	271	2	preprint	preprint	NOUN
bracis-19092	271	3	arxiv:2009.14153	arxiv:2009.14153	NOUN
bracis-19092	271	4	(	(	PUNCT
bracis-19092	271	5	2020	2020	NUM
bracis-19092	271	6	)	)	PUNCT
bracis-19092	271	7	ioffe	ioffe	NOUN
bracis-19092	271	8	,	,	PUNCT
bracis-19092	271	9	s.	s.	PROPN
bracis-19092	271	10	:	:	PUNCT
bracis-19092	271	11	probabilistic	probabilistic	ADJ
bracis-19092	271	12	linear	linear	ADJ
bracis-19092	271	13	discriminant	discriminant	ADJ
bracis-19092	271	14	analysis	analysis	NOUN
bracis-19092	271	15	.	.	PUNCT
bracis-19092	272	1	in	in	ADP
bracis-19092	272	2	:	:	PUNCT
bracis-19092	272	3	leonardis	leonardis	PROPN
bracis-19092	272	4	,	,	PUNCT
bracis-19092	272	5	a.	a.	NOUN
bracis-19092	272	6	,	,	PUNCT
bracis-19092	272	7	bischof	bischof	NOUN
bracis-19092	272	8	,	,	PUNCT
bracis-19092	272	9	h.	h.	PROPN
bracis-19092	272	10	,	,	PUNCT
bracis-19092	272	11	pinz	pinz	PROPN
bracis-19092	272	12	,	,	PUNCT
bracis-19092	272	13	a.	a.	NOUN
bracis-19092	272	14	(	(	PUNCT
bracis-19092	272	15	eds	eds	PROPN
bracis-19092	272	16	.	.	PUNCT
bracis-19092	272	17	)	)	PUNCT
bracis-19092	272	18	eccv	eccv	ADV
bracis-19092	272	19	2006	2006	NUM
bracis-19092	272	20	.	.	PUNCT
bracis-19092	273	1	lncs	lncs	PROPN
bracis-19092	273	2	,	,	PUNCT
bracis-19092	273	3	vol	vol	NOUN
bracis-19092	273	4	.	.	PROPN
bracis-19092	273	5	3954	3954	NUM
bracis-19092	273	6	,	,	PUNCT
bracis-19092	273	7	pp	pp	ADJ
bracis-19092	273	8	.	.	PUNCT
bracis-19092	274	1	531–542	531–542	NUM
bracis-19092	274	2	.	.	PUNCT
bracis-19092	274	3	springer	springer	NOUN
bracis-19092	274	4	,	,	PUNCT
bracis-19092	274	5	heidelberg	heidelberg	PROPN
bracis-19092	274	6	(	(	PUNCT
bracis-19092	274	7	2006	2006	NUM
bracis-19092	274	8	)	)	PUNCT
bracis-19092	274	9	.	.	PUNCT
bracis-19092	275	1	https://doi.org/10.1007/11744085_41	https://doi.org/10.1007/11744085_41	PROPN
bracis-19092	275	2	chapter	chapter	NOUN
bracis-19092	275	3	  	  	SPACE
bracis-19092	275	4	google	google	PROPN
bracis-19092	275	5	scholar	scholar	NOUN
bracis-19092	275	6	  	  	SPACE
bracis-19092	275	7	kekre	kekre	PROPN
bracis-19092	275	8	,	,	PUNCT
bracis-19092	275	9	h.	h.	PROPN
bracis-19092	275	10	,	,	PUNCT
bracis-19092	275	11	kulkarni	kulkarni	PROPN
bracis-19092	275	12	,	,	PUNCT
bracis-19092	275	13	v.	v.	PROPN
bracis-19092	275	14	:	:	PUNCT
bracis-19092	275	15	closed	close	VERB
bracis-19092	275	16	set	set	ADJ
bracis-19092	275	17	and	and	CCONJ
bracis-19092	275	18	open	open	ADJ
bracis-19092	275	19	set	set	VERB
bracis-19092	275	20	speaker	speaker	NOUN
bracis-19092	275	21	identification	identification	NOUN
bracis-19092	275	22	using	use	VERB
bracis-19092	275	23	amplitude	amplitude	NOUN
bracis-19092	275	24	distribution	distribution	NOUN
bracis-19092	275	25	of	of	ADP
bracis-19092	275	26	different	different	ADJ
bracis-19092	275	27	transforms	transform	NOUN
bracis-19092	275	28	.	.	PUNCT
bracis-19092	276	1	in	in	ADP
bracis-19092	276	2	:	:	PUNCT
bracis-19092	276	3	2013	2013	NUM
bracis-19092	276	4	international	international	ADJ
bracis-19092	276	5	conference	conference	NOUN
bracis-19092	276	6	on	on	ADP
bracis-19092	276	7	advances	advance	NOUN
bracis-19092	276	8	in	in	ADP
bracis-19092	276	9	technology	technology	NOUN
bracis-19092	276	10	and	and	CCONJ
bracis-19092	276	11	engineering	engineering	NOUN
bracis-19092	276	12	(	(	PUNCT
bracis-19092	276	13	icate	icate	NOUN
bracis-19092	276	14	)	)	PUNCT
bracis-19092	276	15	,	,	PUNCT
bracis-19092	276	16	pp	pp	ADP
bracis-19092	276	17	.	.	PUNCT
bracis-19092	277	1	1–8	1–8	X
bracis-19092	277	2	.	.	PUNCT
bracis-19092	277	3	ieee	ieee	PROPN
bracis-19092	277	4	(	(	PUNCT
bracis-19092	277	5	2013	2013	NUM
bracis-19092	277	6	)	)	PUNCT
bracis-19092	277	7	google	google	PROPN
bracis-19092	277	8	scholar	scholar	NOUN
bracis-19092	277	9	  	  	SPACE
bracis-19092	277	10	kingma	kingma	PROPN
bracis-19092	277	11	,	,	PUNCT
bracis-19092	277	12	d.p	d.p	PROPN
bracis-19092	277	13	.	.	PROPN
bracis-19092	277	14	,	,	PUNCT
bracis-19092	277	15	ba	ba	PROPN
bracis-19092	277	16	,	,	PUNCT
bracis-19092	277	17	j.	j.	PROPN
bracis-19092	277	18	:	:	PUNCT
bracis-19092	277	19	adam	adam	PROPN
bracis-19092	277	20	:	:	PUNCT
bracis-19092	277	21	a	a	DET
bracis-19092	277	22	method	method	NOUN
bracis-19092	277	23	for	for	ADP
bracis-19092	277	24	stochastic	stochastic	ADJ
bracis-19092	277	25	optimization	optimization	NOUN
bracis-19092	277	26	.	.	PUNCT
bracis-19092	278	1	arxiv	arxiv	PROPN
bracis-19092	278	2	preprint	preprint	VERB
bracis-19092	278	3	arxiv:1412.6980	arxiv:1412.6980	X
bracis-19092	278	4	(	(	PUNCT
bracis-19092	278	5	2014	2014	NUM
bracis-19092	278	6	)	)	PUNCT
bracis-19092	279	1	liu	liu	PROPN
bracis-19092	279	2	,	,	PUNCT
bracis-19092	279	3	w.	w.	PROPN
bracis-19092	279	4	,	,	PUNCT
bracis-19092	279	5	wen	wen	PROPN
bracis-19092	279	6	,	,	PUNCT
bracis-19092	279	7	y.	y.	PROPN
bracis-19092	279	8	,	,	PUNCT
bracis-19092	279	9	yu	yu	PROPN
bracis-19092	279	10	,	,	PUNCT
bracis-19092	279	11	z.	z.	PROPN
bracis-19092	279	12	,	,	PUNCT
bracis-19092	279	13	li	li	PROPN
bracis-19092	279	14	,	,	PUNCT
bracis-19092	279	15	m.	m.	NOUN
bracis-19092	279	16	,	,	PUNCT
bracis-19092	279	17	raj	raj	PROPN
bracis-19092	279	18	,	,	PUNCT
bracis-19092	279	19	b.	b.	PROPN
bracis-19092	279	20	,	,	PUNCT
bracis-19092	279	21	song	song	NOUN
bracis-19092	279	22	,	,	PUNCT
bracis-19092	279	23	l.	l.	PROPN
bracis-19092	279	24	:	:	PUNCT
bracis-19092	279	25	sphereface	sphereface	NOUN
bracis-19092	279	26	:	:	PUNCT
bracis-19092	279	27	deep	deep	ADJ
bracis-19092	279	28	hypersphere	hypersphere	NOUN
bracis-19092	279	29	embedding	embed	VERB
bracis-19092	279	30	for	for	ADP
bracis-19092	279	31	face	face	NOUN
bracis-19092	279	32	recognition	recognition	NOUN
bracis-19092	279	33	.	.	PUNCT
bracis-19092	280	1	in	in	ADP
bracis-19092	280	2	:	:	PUNCT
bracis-19092	280	3	proceedings	proceeding	NOUN
bracis-19092	280	4	of	of	ADP
bracis-19092	280	5	the	the	DET
bracis-19092	280	6	ieee	ieee	NOUN
bracis-19092	280	7	conference	conference	NOUN
bracis-19092	280	8	on	on	ADP
bracis-19092	280	9	computer	computer	NOUN
bracis-19092	280	10	vision	vision	NOUN
bracis-19092	280	11	and	and	CCONJ
bracis-19092	280	12	pattern	pattern	NOUN
bracis-19092	280	13	recognition	recognition	NOUN
bracis-19092	280	14	,	,	PUNCT
bracis-19092	280	15	pp	pp	ADP
bracis-19092	280	16	.	.	PUNCT
bracis-19092	281	1	212–220	212–220	NUM
bracis-19092	281	2	(	(	PUNCT
bracis-19092	281	3	2017	2017	NUM
bracis-19092	281	4	)	)	PUNCT
bracis-19092	281	5	google	google	PROPN
bracis-19092	281	6	scholar	scholar	NOUN
bracis-19092	281	7	  	  	SPACE
bracis-19092	281	8	logan	logan	PROPN
bracis-19092	281	9	,	,	PUNCT
bracis-19092	281	10	b.	b.	PROPN
bracis-19092	281	11	,	,	PUNCT
bracis-19092	281	12	et	et	PROPN
bracis-19092	281	13	al	al	PROPN
bracis-19092	281	14	.	.	PROPN
bracis-19092	281	15	:	:	PUNCT
bracis-19092	282	1	mel	mel	PROPN
bracis-19092	282	2	frequency	frequency	PROPN
bracis-19092	282	3	cepstral	cepstral	ADJ
bracis-19092	282	4	coefficients	coefficient	NOUN
bracis-19092	282	5	for	for	ADP
bracis-19092	282	6	music	music	NOUN
bracis-19092	282	7	modeling	modeling	NOUN
bracis-19092	282	8	.	.	PUNCT
bracis-19092	283	1	in	in	ADP
bracis-19092	283	2	:	:	PUNCT
bracis-19092	283	3	ismir	ismir	ADJ
bracis-19092	283	4	,	,	PUNCT
bracis-19092	283	5	vol	vol	NOUN
bracis-19092	283	6	.	.	PROPN
bracis-19092	283	7	270	270	NUM
bracis-19092	283	8	,	,	PUNCT
bracis-19092	283	9	pp	pp	ADJ
bracis-19092	283	10	.	.	PUNCT
bracis-19092	284	1	1–11	1–11	PROPN
bracis-19092	284	2	(	(	PUNCT
bracis-19092	284	3	2000	2000	NUM
bracis-19092	284	4	)	)	PUNCT
bracis-19092	284	5	google	google	NOUN
bracis-19092	284	6	scholar	scholar	NOUN
bracis-19092	284	7	  	  	SPACE
bracis-19092	284	8	mcfee	mcfee	NOUN
bracis-19092	284	9	,	,	PUNCT
bracis-19092	284	10	b.	b.	PROPN
bracis-19092	284	11	,	,	PUNCT
bracis-19092	284	12	et	et	PROPN
bracis-19092	284	13	al	al	PROPN
bracis-19092	284	14	.	.	PUNCT
bracis-19092	284	15	:	:	PUNCT
bracis-19092	285	1	librosa	librosa	ADJ
bracis-19092	285	2	:	:	PUNCT
bracis-19092	285	3	audio	audio	ADJ
bracis-19092	285	4	and	and	CCONJ
bracis-19092	285	5	music	music	NOUN
bracis-19092	285	6	signal	signal	NOUN
bracis-19092	285	7	analysis	analysis	NOUN
bracis-19092	285	8	in	in	ADP
bracis-19092	285	9	python	python	NOUN
bracis-19092	285	10	.	.	PUNCT
bracis-19092	286	1	in	in	ADP
bracis-19092	286	2	:	:	PUNCT
bracis-19092	286	3	proceedings	proceeding	NOUN
bracis-19092	286	4	of	of	ADP
bracis-19092	286	5	the	the	DET
bracis-19092	286	6	14th	14th	ADJ
bracis-19092	286	7	python	python	NOUN
bracis-19092	286	8	in	in	ADP
bracis-19092	286	9	science	science	NOUN
bracis-19092	286	10	conference	conference	NOUN
bracis-19092	286	11	,	,	PUNCT
bracis-19092	286	12	pp	pp	X
bracis-19092	286	13	.	.	PUNCT
bracis-19092	287	1	18–25	18–25	NUM
bracis-19092	287	2	(	(	PUNCT
bracis-19092	287	3	2015	2015	NUM
bracis-19092	287	4	)	)	PUNCT
bracis-19092	287	5	google	google	NOUN
bracis-19092	287	6	scholar	scholar	NOUN
bracis-19092	287	7	  	  	SPACE
bracis-19092	287	8	michalski	michalski	NOUN
bracis-19092	287	9	,	,	PUNCT
bracis-19092	287	10	r.s	r.s	PROPN
bracis-19092	287	11	.	.	PROPN
bracis-19092	287	12	,	,	PUNCT
bracis-19092	287	13	carbonell	carbonell	PROPN
bracis-19092	287	14	,	,	PUNCT
bracis-19092	287	15	j.g	j.g	PROPN
bracis-19092	287	16	.	.	PROPN
bracis-19092	287	17	,	,	PUNCT
bracis-19092	287	18	mitchell	mitchell	PROPN
bracis-19092	287	19	,	,	PUNCT
bracis-19092	287	20	t.m	t.m	PROPN
bracis-19092	287	21	.	.	PROPN
bracis-19092	287	22	:	:	PUNCT
bracis-19092	287	23	machine	machine	NOUN
bracis-19092	287	24	learning	learning	NOUN
bracis-19092	287	25	:	:	PUNCT
bracis-19092	287	26	an	an	DET
bracis-19092	287	27	artificial	artificial	ADJ
bracis-19092	287	28	intelligence	intelligence	NOUN
bracis-19092	287	29	approach	approach	NOUN
bracis-19092	287	30	.	.	PUNCT
bracis-19092	288	1	springer	springer	NOUN
bracis-19092	288	2	science	science	PROPN
bracis-19092	288	3	&	&	CCONJ
bracis-19092	288	4	business	business	NOUN
bracis-19092	288	5	media	medium	NOUN
bracis-19092	288	6	(	(	PUNCT
bracis-19092	288	7	2013	2013	NUM
bracis-19092	288	8	)	)	PUNCT
bracis-19092	288	9	.	.	PUNCT
bracis-19092	289	1	https://doi.org/10.1007/978-3-662-12405-5	https://doi.org/10.1007/978-3-662-12405-5	PROPN
bracis-19092	289	2	nagrani	nagrani	PROPN
bracis-19092	289	3	,	,	PUNCT
bracis-19092	289	4	a.	a.	NOUN
bracis-19092	289	5	,	,	PUNCT
bracis-19092	289	6	chung	chung	PROPN
bracis-19092	289	7	,	,	PUNCT
bracis-19092	289	8	j.s	j.s	PROPN
bracis-19092	289	9	.	.	PROPN
bracis-19092	289	10	,	,	PUNCT
bracis-19092	289	11	zisserman	zisserman	PROPN
bracis-19092	289	12	,	,	PUNCT
bracis-19092	289	13	a.	a.	NOUN
bracis-19092	289	14	:	:	PUNCT
bracis-19092	289	15	voxceleb	voxceleb	PROPN
bracis-19092	289	16	:	:	PUNCT
bracis-19092	289	17	a	a	DET
bracis-19092	289	18	large	large	ADJ
bracis-19092	289	19	-	-	PUNCT
bracis-19092	289	20	scale	scale	NOUN
bracis-19092	289	21	speaker	speaker	NOUN
bracis-19092	289	22	identification	identification	NOUN
bracis-19092	289	23	dataset	dataset	NOUN
bracis-19092	289	24	.	.	PUNCT
bracis-19092	290	1	in	in	ADP
bracis-19092	290	2	:	:	PUNCT
bracis-19092	290	3	proceedings	proceeding	NOUN
bracis-19092	290	4	of	of	ADP
bracis-19092	290	5	the	the	DET
bracis-19092	290	6	interspeech	interspeech	NOUN
bracis-19092	290	7	2017	2017	NUM
bracis-19092	290	8	,	,	PUNCT
bracis-19092	290	9	pp	pp	ADJ
bracis-19092	290	10	.	.	PUNCT
bracis-19092	291	1	2616–2620	2616–2620	NUM
bracis-19092	291	2	(	(	PUNCT
bracis-19092	291	3	2017	2017	NUM
bracis-19092	291	4	)	)	PUNCT
bracis-19092	291	5	google	google	PROPN
bracis-19092	291	6	scholar	scholar	NOUN
bracis-19092	291	7	  	  	SPACE
bracis-19092	291	8	nazaré	nazaré	PROPN
bracis-19092	291	9	,	,	PUNCT
bracis-19092	291	10	t.s	t.s	PROPN
bracis-19092	291	11	.	.	PROPN
bracis-19092	291	12	,	,	PUNCT
bracis-19092	291	13	da	da	PROPN
bracis-19092	291	14	costa	costa	PROPN
bracis-19092	291	15	,	,	PUNCT
bracis-19092	291	16	g.b.p	g.b.p	PROPN
bracis-19092	291	17	.	.	PROPN
bracis-19092	291	18	,	,	PUNCT
bracis-19092	291	19	contato	contato	PROPN
bracis-19092	291	20	,	,	PUNCT
bracis-19092	291	21	w.a	w.a	PROPN
bracis-19092	291	22	.	.	PROPN
bracis-19092	291	23	,	,	PUNCT
bracis-19092	291	24	ponti	ponti	PROPN
bracis-19092	291	25	,	,	PUNCT
bracis-19092	291	26	m.	m.	NOUN
bracis-19092	291	27	:	:	PUNCT
bracis-19092	291	28	deep	deep	ADJ
bracis-19092	291	29	convolutional	convolutional	ADJ
bracis-19092	291	30	neural	neural	ADJ
bracis-19092	291	31	networks	network	NOUN
bracis-19092	291	32	and	and	CCONJ
bracis-19092	291	33	noisy	noisy	ADJ
bracis-19092	291	34	images	image	NOUN
bracis-19092	291	35	.	.	PUNCT
bracis-19092	292	1	in	in	ADP
bracis-19092	292	2	:	:	PUNCT
bracis-19092	292	3	mendoza	mendoza	PROPN
bracis-19092	292	4	,	,	PUNCT
bracis-19092	292	5	m.	m.	NOUN
bracis-19092	292	6	,	,	PUNCT
bracis-19092	292	7	velastín	velastín	PROPN
bracis-19092	292	8	,	,	PUNCT
bracis-19092	292	9	s.	s.	PROPN
bracis-19092	292	10	(	(	PUNCT
bracis-19092	292	11	eds	eds	PROPN
bracis-19092	292	12	.	.	PUNCT
bracis-19092	292	13	)	)	PUNCT
bracis-19092	292	14	ciarp	ciarp	NOUN
bracis-19092	292	15	2017	2017	NUM
bracis-19092	292	16	.	.	PUNCT
bracis-19092	293	1	lncs	lncs	PROPN
bracis-19092	293	2	,	,	PUNCT
bracis-19092	293	3	vol	vol	NOUN
bracis-19092	293	4	.	.	PROPN
bracis-19092	293	5	10657	10657	NUM
bracis-19092	293	6	,	,	PUNCT
bracis-19092	293	7	pp	pp	ADJ
bracis-19092	293	8	.	.	PUNCT
bracis-19092	294	1	416–424	416–424	NUM
bracis-19092	294	2	.	.	PUNCT
bracis-19092	294	3	springer	springer	NOUN
bracis-19092	294	4	,	,	PUNCT
bracis-19092	294	5	cham	cham	PROPN
bracis-19092	294	6	(	(	PUNCT
bracis-19092	294	7	2018	2018	NUM
bracis-19092	294	8	)	)	PUNCT
bracis-19092	294	9	.	.	PUNCT
bracis-19092	295	1	https://doi.org/10.1007/978-3-319-75193-1_50	https://doi.org/10.1007/978-3-319-75193-1_50	PROPN
bracis-19092	295	2	chapter	chapter	NOUN
bracis-19092	295	3	  	  	SPACE
bracis-19092	295	4	google	google	PROPN
bracis-19092	295	5	scholar	scholar	NOUN
bracis-19092	295	6	  	  	SPACE
bracis-19092	295	7	nussbaumer	nussbaumer	NOUN
bracis-19092	295	8	,	,	PUNCT
bracis-19092	295	9	h.j	h.j	PROPN
bracis-19092	295	10	.	.	PROPN
bracis-19092	295	11	:	:	PUNCT
bracis-19092	296	1	the	the	DET
bracis-19092	296	2	fast	fast	ADJ
bracis-19092	296	3	fourier	fourier	NOUN
bracis-19092	296	4	transform	transform	NOUN
bracis-19092	296	5	.	.	PUNCT
bracis-19092	297	1	in	in	ADP
bracis-19092	297	2	:	:	PUNCT
bracis-19092	297	3	fast	fast	ADJ
bracis-19092	297	4	fourier	fourier	NOUN
bracis-19092	297	5	transform	transform	NOUN
bracis-19092	297	6	and	and	CCONJ
bracis-19092	297	7	convolution	convolution	NOUN
bracis-19092	297	8	algorithms	algorithm	NOUN
bracis-19092	297	9	,	,	PUNCT
bracis-19092	297	10	vol	vol	NOUN
bracis-19092	297	11	.	.	PROPN
bracis-19092	297	12	2	2	NUM
bracis-19092	297	13	,	,	PUNCT
bracis-19092	297	14	pp	pp	ADJ
bracis-19092	297	15	.	.	PUNCT
bracis-19092	298	1	80–111	80–111	NUM
bracis-19092	298	2	.	.	PUNCT
bracis-19092	298	3	springer	springer	NOUN
bracis-19092	298	4	,	,	PUNCT
bracis-19092	298	5	heidelberg	heidelberg	PROPN
bracis-19092	298	6	(	(	PUNCT
bracis-19092	298	7	1981	1981	NUM
bracis-19092	298	8	)	)	PUNCT
bracis-19092	298	9	.	.	PUNCT
bracis-19092	299	1	https://doi.org/10.1007/978-3-662-00551-4_4	https://doi.org/10.1007/978-3-662-00551-4_4	X
bracis-19092	300	1	ping	ping	PROPN
bracis-19092	300	2	,	,	PUNCT
bracis-19092	300	3	w.	w.	PROPN
bracis-19092	300	4	,	,	PUNCT
bracis-19092	300	5	et	et	PROPN
bracis-19092	300	6	al	al	PROPN
bracis-19092	300	7	.	.	PUNCT
bracis-19092	300	8	:	:	PUNCT
bracis-19092	301	1	deep	deep	ADJ
bracis-19092	301	2	voice	voice	NOUN
bracis-19092	301	3	3	3	NUM
bracis-19092	301	4	:	:	PUNCT
bracis-19092	301	5	scaling	scale	VERB
bracis-19092	301	6	text	text	NOUN
bracis-19092	301	7	-	-	PUNCT
bracis-19092	301	8	to	to	ADP
bracis-19092	301	9	-	-	PUNCT
bracis-19092	301	10	speech	speech	NOUN
bracis-19092	301	11	with	with	ADP
bracis-19092	301	12	convolutional	convolutional	ADJ
bracis-19092	301	13	sequence	sequence	NOUN
bracis-19092	301	14	learning	learning	NOUN
bracis-19092	301	15	.	.	PUNCT
bracis-19092	302	1	in	in	ADP
bracis-19092	302	2	:	:	PUNCT
bracis-19092	302	3	international	international	ADJ
bracis-19092	302	4	conference	conference	NOUN
bracis-19092	302	5	on	on	ADP
bracis-19092	302	6	learning	learn	VERB
bracis-19092	302	7	representations	representation	NOUN
bracis-19092	302	8	(	(	PUNCT
bracis-19092	302	9	2018	2018	NUM
bracis-19092	302	10	)	)	PUNCT
bracis-19092	302	11	google	google	PROPN
bracis-19092	302	12	scholar	scholar	NOUN
bracis-19092	302	13	  	  	SPACE
bracis-19092	302	14	ramoji	ramoji	NOUN
bracis-19092	302	15	,	,	PUNCT
bracis-19092	302	16	s.	s.	PROPN
bracis-19092	302	17	,	,	PUNCT
bracis-19092	302	18	krishnan	krishnan	PROPN
bracis-19092	302	19	v	v	PROPN
bracis-19092	302	20	,	,	PUNCT
bracis-19092	302	21	p.	p.	PROPN
bracis-19092	302	22	,	,	PUNCT
bracis-19092	302	23	singh	singh	PROPN
bracis-19092	302	24	,	,	PUNCT
bracis-19092	302	25	p.	p.	PROPN
bracis-19092	302	26	,	,	PUNCT
bracis-19092	302	27	ganapathy	ganapathy	PROPN
bracis-19092	302	28	,	,	PUNCT
bracis-19092	302	29	s.	s.	PROPN
bracis-19092	302	30	:	:	PUNCT
bracis-19092	302	31	pairwise	pairwise	VERB
bracis-19092	302	32	discriminative	discriminative	NOUN
bracis-19092	302	33	neural	neural	ADJ
bracis-19092	302	34	plda	plda	NOUN
bracis-19092	302	35	for	for	ADP
bracis-19092	302	36	speaker	speaker	NOUN
bracis-19092	302	37	verification	verification	NOUN
bracis-19092	302	38	.	.	PUNCT
bracis-19092	303	1	arxiv	arxiv	PROPN
bracis-19092	303	2	preprint	preprint	NOUN
bracis-19092	303	3	arxiv:2001.07034	arxiv:2001.07034	NOUN
bracis-19092	303	4	(	(	PUNCT
bracis-19092	303	5	2020	2020	NUM
bracis-19092	303	6	)	)	PUNCT
bracis-19092	303	7	schroff	schroff	NOUN
bracis-19092	303	8	,	,	PUNCT
bracis-19092	303	9	f.	f.	PROPN
bracis-19092	303	10	,	,	PUNCT
bracis-19092	303	11	kalenichenko	kalenichenko	PROPN
bracis-19092	303	12	,	,	PUNCT
bracis-19092	303	13	d.	d.	PROPN
bracis-19092	303	14	,	,	PUNCT
bracis-19092	303	15	philbin	philbin	PROPN
bracis-19092	303	16	,	,	PUNCT
bracis-19092	303	17	j.	j.	PROPN
bracis-19092	303	18	:	:	PUNCT
bracis-19092	303	19	facenet	facenet	NOUN
bracis-19092	303	20	:	:	PUNCT
bracis-19092	303	21	a	a	DET
bracis-19092	303	22	unified	unified	ADJ
bracis-19092	303	23	embedding	embedding	NOUN
bracis-19092	303	24	for	for	ADP
bracis-19092	303	25	face	face	NOUN
bracis-19092	303	26	recognition	recognition	NOUN
bracis-19092	303	27	and	and	CCONJ
bracis-19092	303	28	clustering	clustering	NOUN
bracis-19092	303	29	.	.	PUNCT
bracis-19092	304	1	in	in	ADP
bracis-19092	304	2	:	:	PUNCT
bracis-19092	304	3	proceedings	proceeding	NOUN
bracis-19092	304	4	of	of	ADP
bracis-19092	304	5	the	the	DET
bracis-19092	304	6	ieee	ieee	NOUN
bracis-19092	304	7	conference	conference	NOUN
bracis-19092	304	8	on	on	ADP
bracis-19092	304	9	computer	computer	NOUN
bracis-19092	304	10	vision	vision	NOUN
bracis-19092	304	11	and	and	CCONJ
bracis-19092	304	12	pattern	pattern	NOUN
bracis-19092	304	13	recognition	recognition	NOUN
bracis-19092	304	14	,	,	PUNCT
bracis-19092	304	15	pp	pp	ADP
bracis-19092	304	16	.	.	PUNCT
bracis-19092	305	1	815–823	815–823	NUM
bracis-19092	305	2	(	(	PUNCT
bracis-19092	305	3	2015	2015	NUM
bracis-19092	305	4	)	)	PUNCT
bracis-19092	305	5	google	google	PROPN
bracis-19092	305	6	scholar	scholar	NOUN
bracis-19092	305	7	  	  	SPACE
bracis-19092	305	8	seara	seara	PROPN
bracis-19092	305	9	,	,	PUNCT
bracis-19092	305	10	i.	i.	PROPN
bracis-19092	305	11	:	:	PUNCT
bracis-19092	305	12	estudo	estudo	PROPN
bracis-19092	305	13	estatístico	estatístico	PROPN
bracis-19092	305	14	dos	do	VERB
bracis-19092	305	15	fonemas	fonemas	PROPN
bracis-19092	305	16	do	do	AUX
bracis-19092	305	17	português	português	PROPN
bracis-19092	305	18	brasileiro	brasileiro	PROPN
bracis-19092	305	19	falado	falado	VERB
bracis-19092	305	20	na	na	ADP
bracis-19092	305	21	capital	capital	NOUN
bracis-19092	305	22	de	de	X
bracis-19092	305	23	santa	santa	PROPN
bracis-19092	305	24	catarina	catarina	PROPN
bracis-19092	305	25	para	para	PROPN
bracis-19092	305	26	elaboração	elaboração	PROPN
bracis-19092	305	27	de	de	PROPN
bracis-19092	305	28	frases	frases	PROPN
bracis-19092	305	29	foneticamente	foneticamente	ADJ
bracis-19092	305	30	balanceadas	balanceada	NOUN
bracis-19092	305	31	.	.	PUNCT
bracis-19092	306	1	ph.d	ph.d	PROPN
bracis-19092	306	2	.	.	PUNCT
bracis-19092	307	1	thesis	thesis	NOUN
bracis-19092	307	2	,	,	PUNCT
bracis-19092	307	3	dissertação	dissertação	PROPN
bracis-19092	307	4	de	de	PROPN
bracis-19092	307	5	mestrado	mestrado	PROPN
bracis-19092	307	6	,	,	PUNCT
bracis-19092	307	7	universidade	universidade	PROPN
bracis-19092	307	8	federal	federal	PROPN
bracis-19092	307	9	de	de	PROPN
bracis-19092	307	10	santa	santa	PROPN
bracis-19092	307	11	catarina	catarina	PROPN
bracis-19092	307	12	...	...	PUNCT
bracis-19092	307	13	(	(	PUNCT
bracis-19092	307	14	1994	1994	NUM
bracis-19092	307	15	)	)	PUNCT
bracis-19092	307	16	google	google	PROPN
bracis-19092	307	17	scholar	scholar	NOUN
bracis-19092	307	18	  	  	SPACE
bracis-19092	307	19	snyder	snyder	NOUN
bracis-19092	307	20	,	,	PUNCT
bracis-19092	307	21	d.	d.	PROPN
bracis-19092	307	22	,	,	PUNCT
bracis-19092	307	23	garcia	garcia	PROPN
bracis-19092	307	24	-	-	PUNCT
bracis-19092	307	25	romero	romero	PROPN
bracis-19092	307	26	,	,	PUNCT
bracis-19092	307	27	d.	d.	PROPN
bracis-19092	307	28	,	,	PUNCT
bracis-19092	307	29	povey	povey	NOUN
bracis-19092	307	30	,	,	PUNCT
bracis-19092	307	31	d.	d.	PROPN
bracis-19092	307	32	,	,	PUNCT
bracis-19092	307	33	khudanpur	khudanpur	PROPN
bracis-19092	307	34	,	,	PUNCT
bracis-19092	307	35	s.	s.	PROPN
bracis-19092	307	36	:	:	PUNCT
bracis-19092	307	37	deep	deep	ADJ
bracis-19092	307	38	neural	neural	ADJ
bracis-19092	307	39	network	network	NOUN
bracis-19092	307	40	embeddings	embedding	NOUN
bracis-19092	307	41	for	for	ADP
bracis-19092	307	42	text	text	NOUN
bracis-19092	307	43	-	-	PUNCT
bracis-19092	307	44	independent	independent	ADJ
bracis-19092	307	45	speaker	speaker	NOUN
bracis-19092	307	46	verification	verification	NOUN
bracis-19092	307	47	.	.	PUNCT
bracis-19092	308	1	in	in	ADP
bracis-19092	308	2	:	:	PUNCT
bracis-19092	308	3	interspeech	interspeech	NOUN
bracis-19092	308	4	,	,	PUNCT
bracis-19092	308	5	pp	pp	ADJ
bracis-19092	308	6	.	.	PUNCT
bracis-19092	309	1	999–1003	999–1003	NUM
bracis-19092	309	2	(	(	PUNCT
bracis-19092	309	3	2017	2017	NUM
bracis-19092	309	4	)	)	PUNCT
bracis-19092	309	5	google	google	PROPN
bracis-19092	309	6	scholar	scholar	NOUN
bracis-19092	309	7	  	  	SPACE
bracis-19092	309	8	snyder	snyder	NOUN
bracis-19092	309	9	,	,	PUNCT
bracis-19092	309	10	d.	d.	PROPN
bracis-19092	309	11	,	,	PUNCT
bracis-19092	309	12	garcia	garcia	PROPN
bracis-19092	309	13	-	-	PUNCT
bracis-19092	309	14	romero	romero	PROPN
bracis-19092	309	15	,	,	PUNCT
bracis-19092	309	16	d.	d.	PROPN
bracis-19092	309	17	,	,	PUNCT
bracis-19092	309	18	sell	sell	VERB
bracis-19092	309	19	,	,	PUNCT
bracis-19092	309	20	g.	g.	NOUN
bracis-19092	309	21	,	,	PUNCT
bracis-19092	309	22	povey	povey	NOUN
bracis-19092	309	23	,	,	PUNCT
bracis-19092	309	24	d.	d.	PROPN
bracis-19092	309	25	,	,	PUNCT
bracis-19092	309	26	khudanpur	khudanpur	PROPN
bracis-19092	309	27	,	,	PUNCT
bracis-19092	309	28	s.	s.	PROPN
bracis-19092	309	29	:	:	PUNCT
bracis-19092	310	1	x	x	X
bracis-19092	310	2	-	-	NOUN
bracis-19092	310	3	vectors	vector	NOUN
bracis-19092	310	4	:	:	PUNCT
bracis-19092	310	5	robust	robust	ADJ
bracis-19092	310	6	dnn	dnn	NOUN
bracis-19092	310	7	embeddings	embedding	NOUN
bracis-19092	310	8	for	for	ADP
bracis-19092	310	9	speaker	speaker	NOUN
bracis-19092	310	10	recognition	recognition	NOUN
bracis-19092	310	11	.	.	PUNCT
bracis-19092	311	1	in	in	ADP
bracis-19092	311	2	:	:	PUNCT
bracis-19092	311	3	2018	2018	NUM
bracis-19092	311	4	ieee	ieee	NOUN
bracis-19092	311	5	international	international	ADJ
bracis-19092	311	6	conference	conference	NOUN
bracis-19092	311	7	on	on	ADP
bracis-19092	311	8	acoustics	acoustic	NOUN
bracis-19092	311	9	,	,	PUNCT
bracis-19092	311	10	speech	speech	NOUN
bracis-19092	311	11	and	and	CCONJ
bracis-19092	311	12	signal	signal	NOUN
bracis-19092	311	13	processing	processing	NOUN
bracis-19092	311	14	(	(	PUNCT
bracis-19092	311	15	icassp	icassp	PROPN
bracis-19092	311	16	)	)	PUNCT
bracis-19092	311	17	,	,	PUNCT
bracis-19092	311	18	pp	pp	ADP
bracis-19092	311	19	.	.	PUNCT
bracis-19092	312	1	5329–5333	5329–5333	NOUN
bracis-19092	312	2	.	.	PUNCT
bracis-19092	313	1	ieee	ieee	NOUN
bracis-19092	313	2	(	(	PUNCT
bracis-19092	313	3	2018	2018	NUM
bracis-19092	313	4	)	)	PUNCT
bracis-19092	313	5	google	google	PROPN
bracis-19092	313	6	scholar	scholar	NOUN
bracis-19092	313	7	  	  	SPACE
bracis-19092	313	8	tang	tang	NOUN
bracis-19092	313	9	,	,	PUNCT
bracis-19092	313	10	y.	y.	NOUN
bracis-19092	313	11	:	:	PUNCT
bracis-19092	313	12	tf.learn	tf.learn	PRON
bracis-19092	313	13	:	:	PUNCT
bracis-19092	313	14	tensorflow	tensorflow	PROPN
bracis-19092	313	15	’s	’s	PART
bracis-19092	313	16	high	high	ADJ
bracis-19092	313	17	-	-	PUNCT
bracis-19092	313	18	level	level	NOUN
bracis-19092	313	19	module	module	NOUN
bracis-19092	313	20	for	for	ADP
bracis-19092	313	21	distributed	distribute	VERB
bracis-19092	313	22	machine	machine	NOUN
bracis-19092	313	23	learning	learning	NOUN
bracis-19092	313	24	.	.	PUNCT
bracis-19092	314	1	arxiv	arxiv	PROPN
bracis-19092	314	2	preprint	preprint	NOUN
bracis-19092	314	3	arxiv:1612.04251	arxiv:1612.04251	PROPN
bracis-19092	314	4	(	(	PUNCT
bracis-19092	314	5	2016	2016	NUM
bracis-19092	314	6	)	)	PUNCT
bracis-19092	314	7	veaux	veaux	PROPN
bracis-19092	314	8	,	,	PUNCT
bracis-19092	314	9	c.	c.	PROPN
bracis-19092	314	10	,	,	PUNCT
bracis-19092	314	11	yamagishi	yamagishi	PROPN
bracis-19092	314	12	,	,	PUNCT
bracis-19092	314	13	j.	j.	PROPN
bracis-19092	314	14	,	,	PUNCT
bracis-19092	314	15	macdonald	macdonald	PROPN
bracis-19092	314	16	,	,	PUNCT
bracis-19092	314	17	k.	k.	PROPN
bracis-19092	314	18	,	,	PUNCT
bracis-19092	314	19	et	et	PROPN
bracis-19092	314	20	al	al	PROPN
bracis-19092	314	21	.	.	PROPN
bracis-19092	314	22	:	:	PUNCT
bracis-19092	315	1	superseded	supersede	VERB
bracis-19092	315	2	-	-	PUNCT
bracis-19092	315	3	cstr	cstr	NOUN
bracis-19092	315	4	vctk	vctk	PROPN
bracis-19092	315	5	corpus	corpus	PROPN
bracis-19092	315	6	:	:	PUNCT
bracis-19092	315	7	english	english	ADJ
bracis-19092	315	8	multi	multi	ADJ
bracis-19092	315	9	-	-	ADJ
bracis-19092	315	10	speaker	speaker	NOUN
bracis-19092	315	11	corpus	corpus	NOUN
bracis-19092	315	12	for	for	ADP
bracis-19092	315	13	cstr	cstr	NOUN
bracis-19092	315	14	voice	voice	NOUN
bracis-19092	315	15	cloning	cloning	NOUN
bracis-19092	315	16	toolkit	toolkit	NOUN
bracis-19092	315	17	.	.	PUNCT
bracis-19092	316	1	university	university	NOUN
bracis-19092	316	2	of	of	ADP
bracis-19092	316	3	edinburgh	edinburgh	PROPN
bracis-19092	316	4	,	,	PUNCT
bracis-19092	316	5	the	the	DET
bracis-19092	316	6	centre	centre	NOUN
bracis-19092	316	7	for	for	ADP
bracis-19092	316	8	speech	speech	NOUN
bracis-19092	316	9	technology	technology	NOUN
bracis-19092	316	10	research	research	NOUN
bracis-19092	316	11	(	(	PUNCT
bracis-19092	316	12	cstr	cstr	NOUN
bracis-19092	316	13	)	)	PUNCT
bracis-19092	316	14	(	(	PUNCT
bracis-19092	316	15	2016	2016	NUM
bracis-19092	316	16	)	)	PUNCT
bracis-19092	316	17	google	google	PROPN
bracis-19092	316	18	scholar	scholar	NOUN
bracis-19092	316	19	  	  	SPACE
bracis-19092	316	20	wan	wan	PROPN
bracis-19092	316	21	,	,	PUNCT
bracis-19092	316	22	l.	l.	PROPN
bracis-19092	316	23	,	,	PUNCT
bracis-19092	316	24	wang	wang	PROPN
bracis-19092	316	25	,	,	PUNCT
bracis-19092	316	26	q.	q.	PROPN
bracis-19092	316	27	,	,	PUNCT
bracis-19092	316	28	papir	papir	PROPN
bracis-19092	316	29	,	,	PUNCT
bracis-19092	316	30	a.	a.	PROPN
bracis-19092	316	31	,	,	PUNCT
bracis-19092	316	32	moreno	moreno	PROPN
bracis-19092	316	33	,	,	PUNCT
bracis-19092	316	34	i.l	i.l	PROPN
bracis-19092	316	35	.	.	PUNCT
bracis-19092	316	36	:	:	PUNCT
bracis-19092	317	1	generalized	generalized	ADJ
bracis-19092	317	2	end	end	NOUN
bracis-19092	317	3	-	-	PUNCT
bracis-19092	317	4	to	to	ADP
bracis-19092	317	5	-	-	PUNCT
bracis-19092	317	6	end	end	NOUN
bracis-19092	317	7	loss	loss	NOUN
bracis-19092	317	8	for	for	ADP
bracis-19092	317	9	speaker	speaker	NOUN
bracis-19092	317	10	verification	verification	NOUN
bracis-19092	317	11	.	.	PUNCT
bracis-19092	318	1	in	in	ADP
bracis-19092	318	2	:	:	PUNCT
bracis-19092	318	3	2018	2018	NUM
bracis-19092	318	4	ieee	ieee	NOUN
bracis-19092	318	5	international	international	ADJ
bracis-19092	318	6	conference	conference	NOUN
bracis-19092	318	7	on	on	ADP
bracis-19092	318	8	acoustics	acoustic	NOUN
bracis-19092	318	9	,	,	PUNCT
bracis-19092	318	10	speech	speech	NOUN
bracis-19092	318	11	and	and	CCONJ
bracis-19092	318	12	signal	signal	NOUN
bracis-19092	318	13	processing	processing	NOUN
bracis-19092	318	14	(	(	PUNCT
bracis-19092	318	15	icassp	icassp	PROPN
bracis-19092	318	16	)	)	PUNCT
bracis-19092	318	17	,	,	PUNCT
bracis-19092	318	18	pp	pp	PROPN
bracis-19092	318	19	.	.	PUNCT
bracis-19092	318	20	4879–4883	4879–4883	NUM
bracis-19092	318	21	.	.	PUNCT
bracis-19092	319	1	ieee	ieee	NOUN
bracis-19092	319	2	(	(	PUNCT
bracis-19092	319	3	2018	2018	NUM
bracis-19092	319	4	)	)	PUNCT
bracis-19092	319	5	google	google	PROPN
bracis-19092	319	6	scholar	scholar	NOUN
bracis-19092	319	7	  	  	SPACE
bracis-19092	319	8	wang	wang	PROPN
bracis-19092	319	9	,	,	PUNCT
bracis-19092	319	10	f.	f.	PROPN
bracis-19092	319	11	,	,	PUNCT
bracis-19092	319	12	cheng	cheng	PROPN
bracis-19092	319	13	,	,	PUNCT
bracis-19092	319	14	j.	j.	PROPN
bracis-19092	319	15	,	,	PUNCT
bracis-19092	319	16	liu	liu	PROPN
bracis-19092	319	17	,	,	PUNCT
bracis-19092	319	18	w.	w.	PROPN
bracis-19092	319	19	,	,	PUNCT
bracis-19092	319	20	liu	liu	PROPN
bracis-19092	319	21	,	,	PUNCT
bracis-19092	319	22	h.	h.	PROPN
bracis-19092	319	23	:	:	PUNCT
bracis-19092	319	24	additive	additive	ADJ
bracis-19092	319	25	margin	margin	NOUN
bracis-19092	319	26	softmax	softmax	NOUN
bracis-19092	319	27	for	for	ADP
bracis-19092	319	28	face	face	NOUN
bracis-19092	319	29	verification	verification	NOUN
bracis-19092	319	30	.	.	PUNCT
bracis-19092	320	1	ieee	ieee	PROPN
bracis-19092	320	2	sig	sig	PROPN
bracis-19092	320	3	.	.	PUNCT
bracis-19092	320	4	process	process	NOUN
bracis-19092	320	5	.	.	PUNCT
bracis-19092	321	1	lett	lett	PROPN
bracis-19092	321	2	.	.	PUNCT
bracis-19092	322	1	25(7	25(7	NUM
bracis-19092	322	2	)	)	PUNCT
bracis-19092	322	3	,	,	PUNCT
bracis-19092	322	4	926–930	926–930	NUM
bracis-19092	322	5	(	(	PUNCT
bracis-19092	322	6	2018	2018	NUM
bracis-19092	322	7	)	)	PUNCT
bracis-19092	322	8	article	article	NOUN
bracis-19092	322	9	  	  	SPACE
bracis-19092	322	10	google	google	PROPN
bracis-19092	322	11	scholar	scholar	NOUN
bracis-19092	322	12	  	  	SPACE
bracis-19092	322	13	wang	wang	PROPN
bracis-19092	322	14	,	,	PUNCT
bracis-19092	322	15	j.	j.	PROPN
bracis-19092	322	16	,	,	PUNCT
bracis-19092	322	17	wang	wang	PROPN
bracis-19092	322	18	,	,	PUNCT
bracis-19092	322	19	k.c	k.c	PROPN
bracis-19092	322	20	.	.	PROPN
bracis-19092	322	21	,	,	PUNCT
bracis-19092	322	22	law	law	NOUN
bracis-19092	322	23	,	,	PUNCT
bracis-19092	322	24	m.t	m.t	PROPN
bracis-19092	322	25	.	.	PROPN
bracis-19092	322	26	,	,	PUNCT
bracis-19092	322	27	rudzicz	rudzicz	PROPN
bracis-19092	322	28	,	,	PUNCT
bracis-19092	322	29	f.	f.	PROPN
bracis-19092	322	30	,	,	PUNCT
bracis-19092	322	31	brudno	brudno	NOUN
bracis-19092	322	32	,	,	PUNCT
bracis-19092	322	33	m.	m.	NOUN
bracis-19092	322	34	:	:	PUNCT
bracis-19092	322	35	centroid	centroid	NOUN
bracis-19092	322	36	-	-	PUNCT
bracis-19092	322	37	based	base	VERB
bracis-19092	322	38	deep	deep	ADJ
bracis-19092	322	39	metric	metric	ADJ
bracis-19092	322	40	learning	learning	NOUN
bracis-19092	322	41	for	for	ADP
bracis-19092	322	42	speaker	speaker	NOUN
bracis-19092	322	43	recognition	recognition	NOUN
bracis-19092	322	44	.	.	PUNCT
bracis-19092	323	1	in	in	ADP
bracis-19092	323	2	:	:	PUNCT
bracis-19092	323	3	2019	2019	NUM
bracis-19092	323	4	ieee	ieee	NOUN
bracis-19092	323	5	international	international	ADJ
bracis-19092	323	6	conference	conference	NOUN
bracis-19092	323	7	on	on	ADP
bracis-19092	323	8	acoustics	acoustic	NOUN
bracis-19092	323	9	,	,	PUNCT
bracis-19092	323	10	speech	speech	NOUN
bracis-19092	323	11	and	and	CCONJ
bracis-19092	323	12	signal	signal	NOUN
bracis-19092	323	13	processing	processing	NOUN
bracis-19092	323	14	(	(	PUNCT
bracis-19092	323	15	icassp	icassp	PROPN
bracis-19092	323	16	)	)	PUNCT
bracis-19092	323	17	,	,	PUNCT
bracis-19092	323	18	icassp	icassp	ADJ
bracis-19092	323	19	2019	2019	NUM
bracis-19092	323	20	,	,	PUNCT
bracis-19092	323	21	pp	pp	ADJ
bracis-19092	323	22	.	.	PUNCT
bracis-19092	323	23	3652–3656	3652–3656	NUM
bracis-19092	323	24	.	.	PUNCT
bracis-19092	324	1	ieee	ieee	NOUN
bracis-19092	324	2	(	(	PUNCT
bracis-19092	324	3	2019	2019	NUM
bracis-19092	324	4	)	)	PUNCT
bracis-19092	324	5	google	google	PROPN
bracis-19092	324	6	scholar	scholar	NOUN
bracis-19092	324	7	  	  	SPACE
bracis-19092	324	8	zhou	zhou	PROPN
bracis-19092	324	9	,	,	PUNCT
bracis-19092	324	10	y.	y.	PROPN
bracis-19092	324	11	,	,	PUNCT
bracis-19092	324	12	tian	tian	PROPN
bracis-19092	324	13	,	,	PUNCT
bracis-19092	324	14	x.	x.	PROPN
bracis-19092	324	15	,	,	PUNCT
bracis-19092	324	16	xu	xu	PROPN
bracis-19092	324	17	,	,	PUNCT
bracis-19092	324	18	h.	h.	PROPN
bracis-19092	324	19	,	,	PUNCT
bracis-19092	324	20	das	das	PROPN
bracis-19092	324	21	,	,	PUNCT
bracis-19092	324	22	r.k	r.k	PROPN
bracis-19092	324	23	.	.	PROPN
bracis-19092	324	24	,	,	PUNCT
bracis-19092	324	25	li	li	PROPN
bracis-19092	324	26	,	,	PUNCT
bracis-19092	324	27	h.	h.	PROPN
bracis-19092	324	28	:	:	PUNCT
bracis-19092	324	29	cross	cross	ADJ
bracis-19092	324	30	-	-	ADJ
bracis-19092	324	31	lingual	lingual	ADJ
bracis-19092	324	32	voice	voice	NOUN
bracis-19092	324	33	conversion	conversion	NOUN
bracis-19092	324	34	with	with	ADP
bracis-19092	324	35	bilingual	bilingual	ADJ
bracis-19092	324	36	phonetic	phonetic	ADJ
bracis-19092	324	37	posteriorgram	posteriorgram	NOUN
bracis-19092	324	38	and	and	CCONJ
bracis-19092	324	39	average	average	ADJ
bracis-19092	324	40	modeling	modeling	NOUN
bracis-19092	324	41	.	.	PUNCT
bracis-19092	325	1	in	in	ADP
bracis-19092	325	2	:	:	PUNCT
bracis-19092	325	3	2019	2019	NUM
bracis-19092	325	4	ieee	ieee	NOUN
bracis-19092	325	5	international	international	ADJ
bracis-19092	325	6	conference	conference	NOUN
bracis-19092	325	7	on	on	ADP
bracis-19092	325	8	acoustics	acoustic	NOUN
bracis-19092	325	9	,	,	PUNCT
bracis-19092	325	10	speech	speech	NOUN
bracis-19092	325	11	and	and	CCONJ
bracis-19092	325	12	signal	signal	NOUN
bracis-19092	325	13	processing	processing	NOUN
bracis-19092	325	14	(	(	PUNCT
bracis-19092	325	15	icassp	icassp	PROPN
bracis-19092	325	16	)	)	PUNCT
bracis-19092	325	17	,	,	PUNCT
bracis-19092	325	18	icassp	icassp	ADJ
bracis-19092	325	19	2019	2019	NUM
bracis-19092	325	20	,	,	PUNCT
bracis-19092	325	21	pp	pp	ADJ
bracis-19092	325	22	.	.	PUNCT
bracis-19092	326	1	6790–6794	6790–6794	NUM
bracis-19092	326	2	.	.	PUNCT
bracis-19092	327	1	ieee	ieee	NOUN
bracis-19092	327	2	(	(	PUNCT
bracis-19092	327	3	2019	2019	NUM
bracis-19092	327	4	)	)	PUNCT
bracis-19092	327	5	google	google	NOUN
bracis-19092	327	6	scholar	scholar	NOUN
bracis-19092	327	7	  	  	SPACE
bracis-19092	327	8	download	download	NOUN
bracis-19092	327	9	references	reference	NOUN
bracis-19092	327	10	acknowledgments	acknowledgment	NOUN
bracis-19092	327	11	this	this	DET
bracis-19092	327	12	study	study	NOUN
bracis-19092	327	13	was	be	AUX
bracis-19092	327	14	financed	finance	VERB
bracis-19092	327	15	in	in	ADP
bracis-19092	327	16	part	part	NOUN
bracis-19092	327	17	by	by	ADP
bracis-19092	327	18	the	the	DET
bracis-19092	327	19	coordenação	coordenação	PROPN
bracis-19092	327	20	de	de	PROPN
bracis-19092	327	21	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-19092	327	22	de	de	X
bracis-19092	327	23	pessoal	pessoal	PROPN
bracis-19092	327	24	de	de	PROPN
bracis-19092	327	25	nível	nível	PROPN
bracis-19092	327	26	superior	superior	ADJ
bracis-19092	327	27	–	–	PUNCT
bracis-19092	327	28	brasil	brasil	PROPN
bracis-19092	327	29	(	(	PUNCT
bracis-19092	327	30	capes	cape	NOUN
bracis-19092	327	31	)	)	PUNCT
bracis-19092	327	32	–	–	PUNCT
bracis-19092	327	33	finance	finance	NOUN
bracis-19092	327	34	code	code	NOUN
bracis-19092	327	35	001	001	NOUN
bracis-19092	327	36	,	,	PUNCT
bracis-19092	327	37	as	as	ADV
bracis-19092	327	38	well	well	ADV
bracis-19092	327	39	as	as	ADP
bracis-19092	327	40	cnpq	cnpq	NOUN
bracis-19092	327	41	(	(	PUNCT
bracis-19092	327	42	national	national	PROPN
bracis-19092	327	43	council	council	PROPN
bracis-19092	327	44	of	of	ADP
bracis-19092	327	45	technological	technological	ADJ
bracis-19092	327	46	and	and	CCONJ
bracis-19092	327	47	scientific	scientific	ADJ
bracis-19092	327	48	development	development	NOUN
bracis-19092	327	49	)	)	PUNCT
bracis-19092	327	50	grant	grant	NOUN
bracis-19092	327	51	304266/2020	304266/2020	NUM
bracis-19092	327	52	-	-	SYM
bracis-19092	327	53	5	5	NUM
bracis-19092	327	54	.	.	PUNCT
bracis-19092	328	1	also	also	ADV
bracis-19092	328	2	,	,	PUNCT
bracis-19092	328	3	we	we	PRON
bracis-19092	328	4	would	would	AUX
bracis-19092	328	5	like	like	VERB
bracis-19092	328	6	to	to	PART
bracis-19092	328	7	thank	thank	VERB
bracis-19092	328	8	the	the	DET
bracis-19092	328	9	cyberlabs	cyberlab	NOUN
bracis-19092	328	10	and	and	CCONJ
bracis-19092	328	11	itaipu	itaipu	VERB
bracis-19092	328	12	technological	technological	ADJ
bracis-19092	328	13	park	park	NOUN
bracis-19092	328	14	(	(	PUNCT
bracis-19092	328	15	parque	parque	NOUN
bracis-19092	328	16	tecnológico	tecnológico	NOUN
bracis-19092	328	17	itaipu	itaipu	NOUN
bracis-19092	328	18	—	—	PUNCT
bracis-19092	328	19	pti	pti	PROPN
bracis-19092	328	20	)	)	PUNCT
bracis-19092	328	21	for	for	ADP
bracis-19092	328	22	financial	financial	ADJ
bracis-19092	328	23	support	support	NOUN
bracis-19092	328	24	for	for	ADP
bracis-19092	328	25	this	this	DET
bracis-19092	328	26	paper	paper	NOUN
bracis-19092	328	27	.	.	PUNCT
bracis-19092	329	1	we	we	PRON
bracis-19092	329	2	also	also	ADV
bracis-19092	329	3	gratefully	gratefully	ADV
bracis-19092	329	4	acknowledge	acknowledge	VERB
bracis-19092	329	5	the	the	DET
bracis-19092	329	6	support	support	NOUN
bracis-19092	329	7	of	of	ADP
bracis-19092	329	8	nvidia	nvidia	PROPN
bracis-19092	329	9	corporation	corporation	NOUN
bracis-19092	329	10	with	with	ADP
bracis-19092	329	11	the	the	DET
bracis-19092	329	12	donation	donation	NOUN
bracis-19092	329	13	of	of	ADP
bracis-19092	329	14	the	the	DET
bracis-19092	329	15	gpu	gpu	NOUN
bracis-19092	329	16	used	use	VERB
bracis-19092	329	17	in	in	ADP
bracis-19092	329	18	part	part	NOUN
bracis-19092	329	19	of	of	ADP
bracis-19092	329	20	the	the	DET
bracis-19092	329	21	experiments	experiment	NOUN
bracis-19092	329	22	presented	present	VERB
bracis-19092	329	23	in	in	ADP
bracis-19092	329	24	this	this	DET
bracis-19092	329	25	research	research	NOUN
bracis-19092	329	26	.	.	PUNCT
bracis-19092	330	1	author	author	NOUN
bracis-19092	330	2	information	information	NOUN
bracis-19092	330	3	authors	author	NOUN
bracis-19092	330	4	and	and	CCONJ
bracis-19092	330	5	affiliations	affiliation	NOUN
bracis-19092	330	6	university	university	PROPN
bracis-19092	330	7	of	of	ADP
bracis-19092	330	8	são	são	PROPN
bracis-19092	330	9	paulo	paulo	PROPN
bracis-19092	330	10	,	,	PUNCT
bracis-19092	330	11	são	são	PROPN
bracis-19092	330	12	carlos	carlos	PROPN
bracis-19092	330	13	,	,	PUNCT
bracis-19092	330	14	brazil	brazil	PROPN
bracis-19092	330	15	edresson	edresson	PROPN
bracis-19092	330	16	casanova	casanova	PROPN
bracis-19092	330	17	,	,	PUNCT
bracis-19092	330	18	 	 	SPACE
bracis-19092	330	19	sandra	sandra	PROPN
bracis-19092	330	20	maria	maria	PROPN
bracis-19092	330	21	aluísio	aluísio	PROPN
bracis-19092	330	22	 	 	SPACE
bracis-19092	330	23	&	&	CCONJ
bracis-19092	330	24	 	 	SPACE
bracis-19092	330	25	moacir	moacir	PROPN
bracis-19092	330	26	antonelli	antonelli	PROPN
bracis-19092	330	27	ponti	ponti	PROPN
bracis-19092	330	28	federal	federal	PROPN
bracis-19092	330	29	university	university	PROPN
bracis-19092	330	30	of	of	ADP
bracis-19092	330	31	technology	technology	PROPN
bracis-19092	330	32	paraná	paraná	PROPN
bracis-19092	330	33	,	,	PUNCT
bracis-19092	330	34	medianeira	medianeira	PROPN
bracis-19092	330	35	,	,	PUNCT
bracis-19092	330	36	brazil	brazil	PROPN
bracis-19092	330	37	arnaldo	arnaldo	PROPN
bracis-19092	330	38	candido	candido	PROPN
bracis-19092	330	39	junior	junior	PROPN
bracis-19092	330	40	,	,	PUNCT
bracis-19092	330	41	 	 	SPACE
bracis-19092	330	42	lucas	lucas	PROPN
bracis-19092	330	43	rafael	rafael	PROPN
bracis-19092	330	44	stefanel	stefanel	PROPN
bracis-19092	330	45	gris	gris	PROPN
bracis-19092	330	46	 	 	SPACE
bracis-19092	330	47	&	&	CCONJ
bracis-19092	330	48	 	 	SPACE
bracis-19092	330	49	hamilton	hamilton	PROPN
bracis-19092	330	50	pereira	pereira	PROPN
bracis-19092	330	51	da	da	PROPN
bracis-19092	330	52	silva	silva	PROPN
bracis-19092	330	53	definedcrowd	definedcrowd	PROPN
bracis-19092	330	54	corp	corp	PROPN
bracis-19092	330	55	,	,	PUNCT
bracis-19092	330	56	seattle	seattle	PROPN
bracis-19092	330	57	,	,	PUNCT
bracis-19092	330	58	usa	usa	PROPN
bracis-19092	330	59	christopher	christopher	PROPN
bracis-19092	330	60	shulby	shulby	PROPN
bracis-19092	330	61	federal	federal	PROPN
bracis-19092	330	62	university	university	PROPN
bracis-19092	330	63	of	of	ADP
bracis-19092	330	64	goiás	goiás	NOUN
bracis-19092	330	65	,	,	PUNCT
bracis-19092	330	66	goiânia	goiânia	PROPN
bracis-19092	330	67	,	,	PUNCT
bracis-19092	330	68	brazil	brazil	PROPN
bracis-19092	330	69	frederico	frederico	PROPN
bracis-19092	330	70	santos	santos	PROPN
bracis-19092	330	71	de	de	PROPN
bracis-19092	330	72	oliveira	oliveira	PROPN
bracis-19092	330	73	authors	authors	PROPN
bracis-19092	330	74	edresson	edresson	PROPN
bracis-19092	330	75	casanovaview	casanovaview	PROPN
bracis-19092	330	76	author	author	NOUN
bracis-19092	330	77	publications	publication	NOUN
bracis-19092	330	78	search	search	NOUN
bracis-19092	330	79	author	author	NOUN
bracis-19092	330	80	on	on	ADP
bracis-19092	330	81	:	:	PUNCT
bracis-19092	330	82	pubmed	pubmed	PROPN
bracis-19092	330	83	 	 	SPACE
bracis-19092	330	84	google	google	PROPN
bracis-19092	330	85	scholar	scholar	PROPN
bracis-19092	330	86	arnaldo	arnaldo	PROPN
bracis-19092	330	87	candido	candido	PROPN
bracis-19092	330	88	juniorview	juniorview	PROPN
bracis-19092	330	89	author	author	NOUN
bracis-19092	330	90	publications	publication	VERB
bracis-19092	330	91	search	search	NOUN
bracis-19092	330	92	author	author	NOUN
bracis-19092	330	93	on	on	ADP
bracis-19092	330	94	:	:	PUNCT
bracis-19092	330	95	pubmed	pubmed	PROPN
bracis-19092	330	96	 	 	SPACE
bracis-19092	330	97	google	google	PROPN
bracis-19092	330	98	scholar	scholar	NOUN
bracis-19092	330	99	christopher	christopher	PROPN
bracis-19092	330	100	shulbyview	shulbyview	PROPN
bracis-19092	330	101	author	author	NOUN
bracis-19092	330	102	publications	publication	NOUN
bracis-19092	330	103	search	search	NOUN
bracis-19092	330	104	author	author	NOUN
bracis-19092	330	105	on	on	ADP
bracis-19092	330	106	:	:	PUNCT
bracis-19092	330	107	pubmed	pubmed	PROPN
bracis-19092	330	108	 	 	SPACE
bracis-19092	330	109	google	google	PROPN
bracis-19092	330	110	scholar	scholar	PROPN
bracis-19092	330	111	frederico	frederico	PROPN
bracis-19092	330	112	santos	santos	PROPN
bracis-19092	330	113	de	de	ADP
bracis-19092	330	114	oliveiraview	oliveiraview	NOUN
bracis-19092	330	115	author	author	NOUN
bracis-19092	330	116	publications	publication	NOUN
bracis-19092	330	117	search	search	NOUN
bracis-19092	330	118	author	author	NOUN
bracis-19092	330	119	on	on	ADP
bracis-19092	330	120	:	:	PUNCT
bracis-19092	330	121	pubmed	pubmed	PROPN
bracis-19092	330	122	 	 	SPACE
bracis-19092	330	123	google	google	PROPN
bracis-19092	330	124	scholar	scholar	NOUN
bracis-19092	330	125	lucas	lucas	PROPN
bracis-19092	330	126	rafael	rafael	PROPN
bracis-19092	330	127	stefanel	stefanel	PROPN
bracis-19092	330	128	grisview	grisview	NOUN
bracis-19092	330	129	author	author	NOUN
bracis-19092	330	130	publications	publication	NOUN
bracis-19092	330	131	search	search	NOUN
bracis-19092	330	132	author	author	NOUN
bracis-19092	330	133	on	on	ADP
bracis-19092	330	134	:	:	PUNCT
bracis-19092	330	135	pubmed	pubmed	PROPN
bracis-19092	330	136	 	 	SPACE
bracis-19092	330	137	google	google	PROPN
bracis-19092	330	138	scholar	scholar	PROPN
bracis-19092	330	139	hamilton	hamilton	PROPN
bracis-19092	330	140	pereira	pereira	PROPN
bracis-19092	330	141	da	da	PROPN
bracis-19092	330	142	silvaview	silvaview	PROPN
bracis-19092	330	143	author	author	NOUN
bracis-19092	330	144	publications	publication	NOUN
bracis-19092	330	145	search	search	NOUN
bracis-19092	330	146	author	author	NOUN
bracis-19092	330	147	on	on	ADP
bracis-19092	330	148	:	:	PUNCT
bracis-19092	330	149	pubmed	pubmed	PROPN
bracis-19092	330	150	 	 	SPACE
bracis-19092	330	151	google	google	PROPN
bracis-19092	330	152	scholar	scholar	PROPN
bracis-19092	330	153	sandra	sandra	PROPN
bracis-19092	330	154	maria	maria	PROPN
bracis-19092	330	155	aluísioview	aluísioview	PROPN
bracis-19092	330	156	author	author	NOUN
bracis-19092	330	157	publications	publication	VERB
bracis-19092	330	158	search	search	NOUN
bracis-19092	330	159	author	author	NOUN
bracis-19092	330	160	on	on	ADP
bracis-19092	330	161	:	:	PUNCT
bracis-19092	330	162	pubmed	pubmed	PROPN
bracis-19092	330	163	 	 	SPACE
bracis-19092	330	164	google	google	PROPN
bracis-19092	330	165	scholar	scholar	NOUN
bracis-19092	330	166	moacir	moacir	PROPN
bracis-19092	330	167	antonelli	antonelli	PROPN
bracis-19092	330	168	pontiview	pontiview	PROPN
bracis-19092	330	169	author	author	NOUN
bracis-19092	330	170	publications	publication	NOUN
bracis-19092	330	171	search	search	NOUN
bracis-19092	330	172	author	author	NOUN
bracis-19092	330	173	on	on	ADP
bracis-19092	330	174	:	:	PUNCT
bracis-19092	330	175	pubmed	pubmed	PROPN
bracis-19092	330	176	 	 	SPACE
bracis-19092	330	177	google	google	PROPN
bracis-19092	330	178	scholar	scholar	NOUN
bracis-19092	330	179	corresponding	correspond	VERB
bracis-19092	330	180	author	author	NOUN
bracis-19092	330	181	correspondence	correspondence	NOUN
bracis-19092	330	182	to	to	PART
bracis-19092	330	183	edresson	edresson	PROPN
bracis-19092	330	184	casanova	casanova	PROPN
bracis-19092	330	185	.	.	PUNCT
bracis-19092	331	1	editor	editor	NOUN
bracis-19092	331	2	information	information	NOUN
bracis-19092	331	3	editors	editor	NOUN
bracis-19092	331	4	and	and	CCONJ
bracis-19092	331	5	affiliations	affiliation	NOUN
bracis-19092	331	6	universidade	universidade	PROPN
bracis-19092	331	7	federal	federal	PROPN
bracis-19092	331	8	de	de	X
bracis-19092	331	9	sergipe	sergipe	PROPN
bracis-19092	331	10	,	,	PUNCT
bracis-19092	331	11	são	são	NOUN
bracis-19092	331	12	cristóvão	cristóvão	PROPN
bracis-19092	331	13	,	,	PUNCT
bracis-19092	331	14	brazil	brazil	PROPN
bracis-19092	331	15	andré	andré	PROPN
bracis-19092	331	16	britto	britto	PROPN
bracis-19092	331	17	universidade	universidade	PROPN
bracis-19092	331	18	de	de	PROPN
bracis-19092	331	19	são	são	PROPN
bracis-19092	331	20	paulo	paulo	PROPN
bracis-19092	331	21	,	,	PUNCT
bracis-19092	331	22	são	são	PROPN
bracis-19092	331	23	paulo	paulo	PROPN
bracis-19092	331	24	,	,	PUNCT
bracis-19092	331	25	brazil	brazil	PROPN
bracis-19092	331	26	karina	karina	PROPN
bracis-19092	331	27	valdivia	valdivia	PROPN
bracis-19092	331	28	delgado	delgado	VERB
bracis-19092	331	29	rights	right	NOUN
bracis-19092	331	30	and	and	CCONJ
bracis-19092	331	31	permissions	permission	NOUN
bracis-19092	331	32	reprints	reprint	NOUN
bracis-19092	331	33	and	and	CCONJ
bracis-19092	331	34	permissions	permission	VERB
bracis-19092	331	35	copyright	copyright	NOUN
bracis-19092	331	36	information	information	NOUN
bracis-19092	331	37	©	©	PROPN
bracis-19092	331	38	2021	2021	NUM
bracis-19092	331	39	springer	springer	NOUN
bracis-19092	331	40	nature	nature	NOUN
bracis-19092	331	41	switzerland	switzerland	PROPN
bracis-19092	331	42	ag	ag	PROPN
bracis-19092	331	43	about	about	ADP
bracis-19092	331	44	this	this	DET
bracis-19092	331	45	paper	paper	NOUN
bracis-19092	331	46	cite	cite	VERB
bracis-19092	331	47	this	this	DET
bracis-19092	331	48	paper	paper	NOUN
bracis-19092	331	49	casanova	casanova	PROPN
bracis-19092	331	50	,	,	PUNCT
bracis-19092	331	51	e.	e.	PROPN
bracis-19092	331	52	et	et	PROPN
bracis-19092	331	53	al	al	PROPN
bracis-19092	331	54	.	.	PROPN
bracis-19092	332	1	(	(	PUNCT
bracis-19092	332	2	2021	2021	NUM
bracis-19092	332	3	)	)	PUNCT
bracis-19092	332	4	.	.	PUNCT
bracis-19092	333	1	speech2phone	speech2phone	NOUN
bracis-19092	333	2	:	:	PUNCT
bracis-19092	333	3	a	a	DET
bracis-19092	333	4	novel	novel	ADJ
bracis-19092	333	5	and	and	CCONJ
bracis-19092	333	6	efficient	efficient	ADJ
bracis-19092	333	7	method	method	NOUN
bracis-19092	333	8	for	for	ADP
bracis-19092	333	9	training	training	NOUN
bracis-19092	333	10	speaker	speaker	NOUN
bracis-19092	333	11	recognition	recognition	NOUN
bracis-19092	333	12	models	model	NOUN
bracis-19092	333	13	.	.	PUNCT
bracis-19092	334	1	in	in	ADP
bracis-19092	334	2	:	:	PUNCT
bracis-19092	334	3	britto	britto	PROPN
bracis-19092	334	4	,	,	PUNCT
bracis-19092	334	5	a.	a.	PROPN
bracis-19092	334	6	,	,	PUNCT
bracis-19092	334	7	valdivia	valdivia	PROPN
bracis-19092	334	8	delgado	delgado	PROPN
bracis-19092	334	9	,	,	PUNCT
bracis-19092	334	10	k.	k.	PROPN
bracis-19092	334	11	(	(	PUNCT
bracis-19092	334	12	eds	eds	PROPN
bracis-19092	334	13	)	)	PUNCT
bracis-19092	334	14	intelligent	intelligent	ADJ
bracis-19092	334	15	systems	system	NOUN
bracis-19092	334	16	.	.	PUNCT
bracis-19092	335	1	bracis	bracis	PROPN
bracis-19092	335	2	2021	2021	NUM
bracis-19092	335	3	.	.	PUNCT
bracis-19092	336	1	lecture	lecture	NOUN
bracis-19092	336	2	notes	note	NOUN
bracis-19092	336	3	in	in	ADP
bracis-19092	336	4	computer	computer	NOUN
bracis-19092	336	5	science	science	NOUN
bracis-19092	336	6	(	(	PUNCT
bracis-19092	336	7	)	)	PUNCT
bracis-19092	336	8	,	,	PUNCT
bracis-19092	336	9	vol	vol	NOUN
bracis-19092	336	10	13074	13074	NUM
bracis-19092	336	11	.	.	PUNCT
bracis-19092	337	1	springer	springer	NOUN
bracis-19092	337	2	,	,	PUNCT
bracis-19092	337	3	cham	cham	PROPN
bracis-19092	337	4	.	.	PUNCT
bracis-19092	338	1	https://doi.org/10.1007/978-3-030-91699-2_39	https://doi.org/10.1007/978-3-030-91699-2_39	PROPN
bracis-19092	338	2	download	download	NOUN
bracis-19092	338	3	citation	citation	NOUN
bracis-19092	338	4	.ris	.ris	PUNCT
bracis-19092	339	1	.enw	.enw	PROPN
bracis-19092	339	2	.bib	.bib	PUNCT
bracis-19092	340	1	doi	doi	PROPN
bracis-19092	340	2	:	:	PUNCT
bracis-19092	340	3	https://doi.org/10.1007/978-3-030-91699-2_39	https://doi.org/10.1007/978-3-030-91699-2_39	NOUN
bracis-19092	340	4	published	publish	VERB
bracis-19092	340	5	:	:	PUNCT
bracis-19092	340	6	28	28	NUM
bracis-19092	340	7	november	november	PROPN
bracis-19092	340	8	2021	2021	NUM
bracis-19092	340	9	publisher	publisher	NOUN
bracis-19092	340	10	name	name	NOUN
bracis-19092	340	11	:	:	PUNCT
bracis-19092	340	12	springer	springer	NOUN
bracis-19092	340	13	,	,	PUNCT
bracis-19092	340	14	cham	cham	PROPN
bracis-19092	340	15	print	print	PROPN
bracis-19092	340	16	isbn	isbn	PROPN
bracis-19092	340	17	:	:	PUNCT
bracis-19092	340	18	978	978	NUM
bracis-19092	340	19	-	-	SYM
bracis-19092	340	20	3	3	NUM
bracis-19092	340	21	-	-	PUNCT
bracis-19092	340	22	030	030	NUM
bracis-19092	340	23	-	-	PUNCT
bracis-19092	340	24	91698	91698	NUM
bracis-19092	340	25	-	-	SYM
bracis-19092	340	26	5	5	NUM
bracis-19092	340	27	online	online	ADJ
bracis-19092	340	28	isbn	isbn	NOUN
bracis-19092	340	29	:	:	PUNCT
bracis-19092	340	30	978	978	NUM
bracis-19092	340	31	-	-	SYM
bracis-19092	340	32	3	3	NUM
bracis-19092	340	33	-	-	PUNCT
bracis-19092	340	34	030	030	NUM
bracis-19092	340	35	-	-	PUNCT
bracis-19092	340	36	91699	91699	NUM
bracis-19092	340	37	-	-	SYM
bracis-19092	340	38	2	2	NUM
bracis-19092	340	39	ebook	ebook	NOUN
bracis-19092	340	40	packages	package	NOUN
bracis-19092	340	41	:	:	PUNCT
bracis-19092	340	42	computer	computer	NOUN
bracis-19092	340	43	sciencecomputer	sciencecomputer	NOUN
bracis-19092	340	44	science	science	NOUN
bracis-19092	340	45	(	(	PUNCT
bracis-19092	340	46	r0	r0	NOUN
bracis-19092	340	47	)	)	PUNCT
bracis-19092	340	48	share	share	VERB
bracis-19092	340	49	this	this	DET
bracis-19092	340	50	paper	paper	NOUN
bracis-19092	340	51	anyone	anyone	PRON
bracis-19092	340	52	you	you	PRON
bracis-19092	340	53	share	share	VERB
bracis-19092	340	54	the	the	DET
bracis-19092	340	55	following	follow	VERB
bracis-19092	340	56	link	link	NOUN
bracis-19092	340	57	with	with	ADP
bracis-19092	340	58	will	will	AUX
bracis-19092	340	59	be	be	AUX
bracis-19092	340	60	able	able	ADJ
bracis-19092	340	61	to	to	PART
bracis-19092	340	62	read	read	VERB
bracis-19092	340	63	this	this	DET
bracis-19092	340	64	content	content	NOUN
bracis-19092	340	65	:	:	PUNCT
bracis-19092	340	66	get	get	VERB
bracis-19092	340	67	shareable	shareable	ADJ
bracis-19092	340	68	linksorry	linksorry	NOUN
bracis-19092	340	69	,	,	PUNCT
bracis-19092	340	70	a	a	DET
bracis-19092	340	71	shareable	shareable	ADJ
bracis-19092	340	72	link	link	NOUN
bracis-19092	340	73	is	be	AUX
bracis-19092	340	74	not	not	PART
bracis-19092	340	75	currently	currently	ADV
bracis-19092	340	76	available	available	ADJ
bracis-19092	340	77	for	for	ADP
bracis-19092	340	78	this	this	DET
bracis-19092	340	79	article	article	NOUN
bracis-19092	340	80	.	.	PUNCT
bracis-19092	341	1	copy	copy	VERB
bracis-19092	341	2	shareable	shareable	ADJ
bracis-19092	341	3	link	link	NOUN
bracis-19092	341	4	to	to	PART
bracis-19092	341	5	clipboard	clipboard	NOUN
bracis-19092	341	6	provided	provide	VERB
bracis-19092	341	7	by	by	ADP
bracis-19092	341	8	the	the	DET
bracis-19092	341	9	springer	springer	NOUN
bracis-19092	341	10	nature	nature	PROPN
bracis-19092	341	11	sharedit	sharedit	PROPN
bracis-19092	341	12	content	content	NOUN
bracis-19092	341	13	-	-	PUNCT
bracis-19092	341	14	sharing	share	VERB
bracis-19092	341	15	initiative	initiative	NOUN
bracis-19092	341	16	keywords	keyword	NOUN
bracis-19092	341	17	speaker	speaker	NOUN
bracis-19092	341	18	verification	verification	NOUN
bracis-19092	341	19	speaker	speaker	NOUN
bracis-19092	341	20	recognition	recognition	NOUN
bracis-19092	341	21	speaker	speaker	NOUN
bracis-19092	341	22	identification	identification	NOUN
bracis-19092	341	23	publish	publish	VERB
bracis-19092	341	24	with	with	ADP
bracis-19092	341	25	us	us	PROPN
bracis-19092	341	26	policies	policy	NOUN
bracis-19092	341	27	and	and	CCONJ
bracis-19092	341	28	ethics	ethic	NOUN
bracis-19092	341	29	search	search	NOUN
bracis-19092	341	30	search	search	NOUN
bracis-19092	341	31	by	by	ADP
bracis-19092	341	32	keyword	keyword	NOUN
bracis-19092	341	33	or	or	CCONJ
bracis-19092	341	34	author	author	NOUN
bracis-19092	341	35	search	search	NOUN
bracis-19092	341	36	navigation	navigation	NOUN
bracis-19092	341	37	find	find	VERB
bracis-19092	341	38	a	a	DET
bracis-19092	341	39	journal	journal	NOUN
bracis-19092	341	40	publish	publish	VERB
bracis-19092	341	41	with	with	ADP
bracis-19092	341	42	us	we	PRON
bracis-19092	341	43	track	track	VERB
bracis-19092	341	44	your	your	PRON
bracis-19092	341	45	research	research	NOUN
bracis-19092	341	46	discover	discover	VERB
bracis-19092	341	47	content	content	NOUN
bracis-19092	341	48	journals	journal	NOUN
bracis-19092	341	49	a	a	DET
bracis-19092	341	50	-	-	PUNCT
bracis-19092	341	51	z	z	NOUN
bracis-19092	341	52	books	book	NOUN
bracis-19092	341	53	a	a	DET
bracis-19092	341	54	-	-	PUNCT
bracis-19092	341	55	z	z	NOUN
bracis-19092	341	56	publish	publish	NOUN
bracis-19092	341	57	with	with	ADP
bracis-19092	341	58	us	us	PROPN
bracis-19092	341	59	journal	journal	PROPN
bracis-19092	341	60	finder	finder	PROPN
bracis-19092	341	61	publish	publish	VERB
bracis-19092	341	62	your	your	PRON
bracis-19092	341	63	research	research	NOUN
bracis-19092	341	64	language	language	NOUN
bracis-19092	341	65	editing	edit	VERB
bracis-19092	341	66	open	open	ADJ
bracis-19092	341	67	access	access	NOUN
bracis-19092	341	68	publishing	publishing	NOUN
bracis-19092	341	69	products	product	NOUN
bracis-19092	341	70	and	and	CCONJ
bracis-19092	341	71	services	service	NOUN
bracis-19092	341	72	our	our	PRON
bracis-19092	341	73	products	product	NOUN
bracis-19092	341	74	librarians	librarian	VERB
bracis-19092	341	75	societies	society	NOUN
bracis-19092	341	76	partners	partner	NOUN
bracis-19092	341	77	and	and	CCONJ
bracis-19092	341	78	advertisers	advertiser	NOUN
bracis-19092	341	79	our	our	PRON
bracis-19092	341	80	brands	brand	NOUN
bracis-19092	341	81	springer	springer	NOUN
bracis-19092	341	82	nature	nature	PROPN
bracis-19092	341	83	portfolio	portfolio	PROPN
bracis-19092	341	84	bmc	bmc	PROPN
bracis-19092	341	85	palgrave	palgrave	PROPN
bracis-19092	341	86	macmillan	macmillan	PROPN
bracis-19092	341	87	apress	apress	PROPN
bracis-19092	341	88	discover	discover	VERB
bracis-19092	341	89	your	your	PRON
bracis-19092	341	90	privacy	privacy	NOUN
bracis-19092	341	91	choices	choice	NOUN
bracis-19092	341	92	/	/	SYM
bracis-19092	341	93	manage	manage	NOUN
bracis-19092	341	94	cookies	cookie	NOUN
bracis-19092	341	95	your	your	PRON
bracis-19092	341	96	us	us	PROPN
bracis-19092	342	1	state	state	NOUN
bracis-19092	342	2	privacy	privacy	NOUN
bracis-19092	342	3	rights	right	NOUN
bracis-19092	342	4	accessibility	accessibility	NOUN
bracis-19092	342	5	statement	statement	NOUN
bracis-19092	342	6	terms	term	NOUN
bracis-19092	342	7	and	and	CCONJ
bracis-19092	342	8	conditions	condition	NOUN
bracis-19092	342	9	privacy	privacy	NOUN
bracis-19092	342	10	policy	policy	NOUN
bracis-19092	342	11	help	help	NOUN
bracis-19092	342	12	and	and	CCONJ
bracis-19092	342	13	support	support	VERB
bracis-19092	342	14	legal	legal	ADJ
bracis-19092	342	15	notice	notice	NOUN
bracis-19092	342	16	cancel	cancel	VERB
bracis-19092	342	17	contracts	contract	NOUN
bracis-19092	342	18	here	here	ADV
bracis-19092	342	19	129.74.145.123	129.74.145.123	NUM
bracis-19092	342	20	hesburgh	hesburgh	PROPN
bracis-19092	342	21	library	library	PROPN
bracis-19092	342	22	er	er	INTJ
bracis-19092	342	23	unit	unit	NOUN
bracis-19092	342	24	(	(	PUNCT
bracis-19092	342	25	3005732405	3005732405	NUM
bracis-19092	342	26	)	)	PUNCT
bracis-19092	342	27	northeast	northeast	ADJ
bracis-19092	342	28	research	research	NOUN
bracis-19092	342	29	libraries	library	NOUN
bracis-19092	342	30	(	(	PUNCT
bracis-19092	342	31	nerl	nerl	PROPN
bracis-19092	342	32	)	)	PUNCT
bracis-19092	342	33	(	(	PUNCT
bracis-19092	342	34	8200828607	8200828607	NUM
bracis-19092	342	35	)	)	PUNCT
bracis-19092	342	36	nerl	nerl	VERB
bracis-19092	342	37	ta	ta	X
bracis-19092	342	38	account	account	NOUN
bracis-19092	342	39	(	(	PUNCT
bracis-19092	342	40	3006206169	3006206169	NUM
bracis-19092	342	41	)	)	PUNCT
bracis-19092	342	42	university	university	NOUN
bracis-19092	342	43	of	of	ADP
bracis-19092	342	44	notre	notre	PROPN
bracis-19092	342	45	dame	dame	PROPN
bracis-19092	342	46	hesburgh	hesburgh	PROPN
bracis-19092	342	47	library	library	NOUN
bracis-19092	342	48	(	(	PUNCT
bracis-19092	342	49	3000184373	3000184373	NUM
bracis-19092	342	50	)	)	PUNCT
bracis-19092	343	1	©	©	ADP
bracis-19092	343	2	2025	2025	NUM
bracis-19092	343	3	springer	springer	NOUN
bracis-19092	343	4	nature	nature	NOUN