id	sid	tid	token	lemma	pos
fcis-6032	1	1	frontiers	frontier	NOUN
fcis-6032	1	2	in	in	ADP
fcis-6032	1	3	computing	computing	NOUN
fcis-6032	1	4	and	and	CCONJ
fcis-6032	1	5	intelligent	intelligent	ADJ
fcis-6032	1	6	systems	system	NOUN
fcis-6032	1	7	issn	issn	VERB
fcis-6032	1	8	:	:	PUNCT
fcis-6032	1	9	2832	2832	NUM
fcis-6032	1	10	-	-	SYM
fcis-6032	1	11	6024	6024	NUM
fcis-6032	1	12	|	|	NOUN
fcis-6032	1	13	vol	vol	NOUN
fcis-6032	1	14	.	.	PROPN
fcis-6032	2	1	3	3	NUM
fcis-6032	2	2	,	,	PUNCT
fcis-6032	2	3	no	no	INTJ
fcis-6032	2	4	.	.	NOUN
fcis-6032	2	5	1	1	NUM
fcis-6032	2	6	,	,	PUNCT
fcis-6032	2	7	2023	2023	NUM
fcis-6032	2	8	94	94	NUM
fcis-6032	2	9	research	research	NOUN
fcis-6032	2	10	on	on	ADP
fcis-6032	2	11	speech	speech	NOUN
fcis-6032	2	12	style	style	NOUN
fcis-6032	2	13	transfer	transfer	NOUN
fcis-6032	2	14	algorithm	algorithm	NOUN
fcis-6032	2	15	combined	combine	VERB
fcis-6032	2	16	with	with	ADP
fcis-6032	2	17	image	image	NOUN
fcis-6032	2	18	processing	processing	NOUN
fcis-6032	2	19	perspective	perspective	NOUN
fcis-6032	2	20	yuanqi	yuanqi	NOUN
fcis-6032	2	21	chen	chen	PROPN
fcis-6032	2	22	school	school	PROPN
fcis-6032	2	23	of	of	ADP
fcis-6032	2	24	management	management	NOUN
fcis-6032	2	25	science	science	NOUN
fcis-6032	2	26	and	and	CCONJ
fcis-6032	2	27	engineering	engineering	NOUN
fcis-6032	2	28	,	,	PUNCT
fcis-6032	2	29	anhui	anhui	PROPN
fcis-6032	2	30	university	university	PROPN
fcis-6032	2	31	of	of	ADP
fcis-6032	2	32	finance	finance	NOUN
fcis-6032	2	33	and	and	CCONJ
fcis-6032	2	34	economics	economic	NOUN
fcis-6032	2	35	,	,	PUNCT
fcis-6032	2	36	bengbu	bengbu	NOUN
fcis-6032	2	37	,	,	PUNCT
fcis-6032	2	38	anhui	anhui	PROPN
fcis-6032	2	39	233030	233030	NUM
fcis-6032	2	40	,	,	PUNCT
fcis-6032	2	41	china	china	PROPN
fcis-6032	2	42	abstract	abstract	NOUN
fcis-6032	2	43	:	:	PUNCT
fcis-6032	2	44	speech	speech	NOUN
fcis-6032	2	45	,	,	PUNCT
fcis-6032	2	46	as	as	ADP
fcis-6032	2	47	the	the	DET
fcis-6032	2	48	acoustic	acoustic	ADJ
fcis-6032	2	49	expression	expression	NOUN
fcis-6032	2	50	of	of	ADP
fcis-6032	2	51	language	language	NOUN
fcis-6032	2	52	,	,	PUNCT
fcis-6032	2	53	is	be	AUX
fcis-6032	2	54	one	one	NUM
fcis-6032	2	55	of	of	ADP
fcis-6032	2	56	the	the	DET
fcis-6032	2	57	most	most	ADV
fcis-6032	2	58	natural	natural	ADJ
fcis-6032	2	59	and	and	CCONJ
fcis-6032	2	60	effective	effective	ADJ
fcis-6032	2	61	means	mean	NOUN
fcis-6032	2	62	of	of	ADP
fcis-6032	2	63	human	human	ADJ
fcis-6032	2	64	information	information	NOUN
fcis-6032	2	65	communication	communication	NOUN
fcis-6032	2	66	.	.	PUNCT
fcis-6032	3	1	with	with	ADP
fcis-6032	3	2	the	the	DET
fcis-6032	3	3	rapid	rapid	ADJ
fcis-6032	3	4	development	development	NOUN
fcis-6032	3	5	of	of	ADP
fcis-6032	3	6	the	the	DET
fcis-6032	3	7	internet	internet	NOUN
fcis-6032	3	8	and	and	CCONJ
fcis-6032	3	9	communication	communication	NOUN
fcis-6032	3	10	technology	technology	NOUN
fcis-6032	3	11	,	,	PUNCT
fcis-6032	3	12	the	the	DET
fcis-6032	3	13	function	function	NOUN
fcis-6032	3	14	of	of	ADP
fcis-6032	3	15	robot	robot	NOUN
fcis-6032	3	16	voice	voice	NOUN
fcis-6032	3	17	interaction	interaction	NOUN
fcis-6032	3	18	is	be	AUX
fcis-6032	3	19	more	more	ADV
fcis-6032	3	20	and	and	CCONJ
fcis-6032	3	21	more	more	ADV
fcis-6032	3	22	popular	popular	ADJ
fcis-6032	3	23	among	among	ADP
fcis-6032	3	24	people	people	NOUN
fcis-6032	3	25	.	.	PUNCT
fcis-6032	4	1	however	however	ADV
fcis-6032	4	2	,	,	PUNCT
fcis-6032	4	3	the	the	DET
fcis-6032	4	4	robotic	robotic	ADJ
fcis-6032	4	5	pronunciation	pronunciation	NOUN
fcis-6032	4	6	can	can	AUX
fcis-6032	4	7	not	not	PART
fcis-6032	4	8	meet	meet	VERB
fcis-6032	4	9	people	people	NOUN
fcis-6032	4	10	's	's	PART
fcis-6032	4	11	demand	demand	NOUN
fcis-6032	4	12	for	for	ADP
fcis-6032	4	13	personalized	personalized	ADJ
fcis-6032	4	14	voice	voice	NOUN
fcis-6032	4	15	interaction	interaction	NOUN
fcis-6032	4	16	.	.	PUNCT
fcis-6032	5	1	at	at	ADP
fcis-6032	5	2	the	the	DET
fcis-6032	5	3	same	same	ADJ
fcis-6032	5	4	time	time	NOUN
fcis-6032	5	5	,	,	PUNCT
fcis-6032	5	6	style	style	NOUN
fcis-6032	5	7	transfer	transfer	NOUN
fcis-6032	5	8	technology	technology	NOUN
fcis-6032	5	9	,	,	PUNCT
fcis-6032	5	10	which	which	PRON
fcis-6032	5	11	is	be	AUX
fcis-6032	5	12	widely	widely	ADV
fcis-6032	5	13	used	use	VERB
fcis-6032	5	14	in	in	ADP
fcis-6032	5	15	image	image	NOUN
fcis-6032	5	16	and	and	CCONJ
fcis-6032	5	17	video	video	NOUN
fcis-6032	5	18	processing	processing	NOUN
fcis-6032	5	19	,	,	PUNCT
fcis-6032	5	20	has	have	AUX
fcis-6032	5	21	been	be	AUX
fcis-6032	5	22	relatively	relatively	ADV
fcis-6032	5	23	mature	mature	ADJ
fcis-6032	5	24	.	.	PUNCT
fcis-6032	6	1	by	by	ADP
fcis-6032	6	2	studying	study	VERB
fcis-6032	6	3	the	the	DET
fcis-6032	6	4	theoretical	theoretical	ADJ
fcis-6032	6	5	methods	method	NOUN
fcis-6032	6	6	of	of	ADP
fcis-6032	6	7	generalized	generalized	ADJ
fcis-6032	6	8	style	style	NOUN
fcis-6032	6	9	transfer	transfer	NOUN
fcis-6032	6	10	technology	technology	NOUN
fcis-6032	6	11	(	(	PUNCT
fcis-6032	6	12	including	include	VERB
fcis-6032	6	13	the	the	DET
fcis-6032	6	14	style	style	NOUN
fcis-6032	6	15	transfer	transfer	NOUN
fcis-6032	6	16	of	of	ADP
fcis-6032	6	17	images	image	NOUN
fcis-6032	6	18	and	and	CCONJ
fcis-6032	6	19	video	video	NOUN
fcis-6032	6	20	signals	signal	NOUN
fcis-6032	6	21	)	)	PUNCT
fcis-6032	6	22	,	,	PUNCT
fcis-6032	6	23	and	and	CCONJ
fcis-6032	6	24	comparing	compare	VERB
fcis-6032	6	25	and	and	CCONJ
fcis-6032	6	26	analyzing	analyze	VERB
fcis-6032	6	27	various	various	ADJ
fcis-6032	6	28	machine	machine	NOUN
fcis-6032	6	29	learning	learn	VERB
fcis-6032	6	30	algorithms	algorithm	NOUN
fcis-6032	6	31	used	use	VERB
fcis-6032	6	32	by	by	ADP
fcis-6032	6	33	the	the	DET
fcis-6032	6	34	current	current	ADJ
fcis-6032	6	35	voice	voice	NOUN
fcis-6032	6	36	style	style	NOUN
fcis-6032	6	37	transfer	transfer	NOUN
fcis-6032	6	38	technology	technology	NOUN
fcis-6032	6	39	,	,	PUNCT
fcis-6032	6	40	this	this	DET
fcis-6032	6	41	paper	paper	NOUN
fcis-6032	6	42	draws	draw	VERB
fcis-6032	6	43	the	the	DET
fcis-6032	6	44	following	following	ADJ
fcis-6032	6	45	conclusions	conclusion	NOUN
fcis-6032	6	46	:	:	PUNCT
fcis-6032	6	47	first	first	ADV
fcis-6032	6	48	,	,	PUNCT
fcis-6032	6	49	various	various	ADJ
fcis-6032	6	50	models	model	NOUN
fcis-6032	6	51	generally	generally	ADV
fcis-6032	6	52	have	have	VERB
fcis-6032	6	53	the	the	DET
fcis-6032	6	54	problem	problem	NOUN
fcis-6032	6	55	of	of	ADP
fcis-6032	6	56	large	large	ADJ
fcis-6032	6	57	demand	demand	NOUN
fcis-6032	6	58	for	for	ADP
fcis-6032	6	59	training	training	NOUN
fcis-6032	6	60	data	datum	NOUN
fcis-6032	6	61	and	and	CCONJ
fcis-6032	6	62	difficulty	difficulty	NOUN
fcis-6032	6	63	in	in	ADP
fcis-6032	6	64	training	training	NOUN
fcis-6032	6	65	.	.	PUNCT
fcis-6032	7	1	second	second	ADV
fcis-6032	7	2	,	,	PUNCT
fcis-6032	7	3	an	an	DET
fcis-6032	7	4	algorithm	algorithm	NOUN
fcis-6032	7	5	model	model	NOUN
fcis-6032	7	6	shows	show	VERB
fcis-6032	7	7	the	the	DET
fcis-6032	7	8	alienation	alienation	ADJ
fcis-6032	7	9	effect	effect	NOUN
fcis-6032	7	10	in	in	ADP
fcis-6032	7	11	different	different	ADJ
fcis-6032	7	12	usage	usage	NOUN
fcis-6032	7	13	scenarios	scenario	NOUN
fcis-6032	7	14	.	.	PUNCT
fcis-6032	8	1	finally	finally	ADV
fcis-6032	8	2	,	,	PUNCT
fcis-6032	8	3	based	base	VERB
fcis-6032	8	4	on	on	ADP
fcis-6032	8	5	the	the	DET
fcis-6032	8	6	above	above	ADJ
fcis-6032	8	7	problems	problem	NOUN
fcis-6032	8	8	,	,	PUNCT
fcis-6032	8	9	suggestions	suggestion	NOUN
fcis-6032	8	10	for	for	ADP
fcis-6032	8	11	the	the	DET
fcis-6032	8	12	development	development	NOUN
fcis-6032	8	13	of	of	ADP
fcis-6032	8	14	voice	voice	NOUN
fcis-6032	8	15	style	style	NOUN
fcis-6032	8	16	transfer	transfer	NOUN
fcis-6032	8	17	are	be	AUX
fcis-6032	8	18	put	put	VERB
fcis-6032	8	19	forward	forward	ADV
fcis-6032	8	20	.	.	PUNCT
fcis-6032	9	1	keywords	keyword	NOUN
fcis-6032	9	2	:	:	PUNCT
fcis-6032	9	3	style	style	NOUN
fcis-6032	9	4	transfer	transfer	NOUN
fcis-6032	9	5	;	;	PUNCT
fcis-6032	9	6	machine	machine	NOUN
fcis-6032	9	7	learning	learning	NOUN
fcis-6032	9	8	;	;	PUNCT
fcis-6032	9	9	speech	speech	NOUN
fcis-6032	9	10	;	;	PUNCT
fcis-6032	9	11	image	image	NOUN
fcis-6032	9	12	.	.	PUNCT
fcis-6032	10	1	1	1	X
fcis-6032	10	2	.	.	X
fcis-6032	10	3	introduction	introduction	NOUN
fcis-6032	10	4	1.1	1.1	NUM
fcis-6032	10	5	.	.	PUNCT
fcis-6032	11	1	research	research	NOUN
fcis-6032	11	2	background	background	NOUN
fcis-6032	11	3	and	and	CCONJ
fcis-6032	11	4	significance	significance	NOUN
fcis-6032	11	5	as	as	ADP
fcis-6032	11	6	a	a	DET
fcis-6032	11	7	bridge	bridge	NOUN
fcis-6032	11	8	of	of	ADP
fcis-6032	11	9	human	human	ADJ
fcis-6032	11	10	communication	communication	NOUN
fcis-6032	11	11	,	,	PUNCT
fcis-6032	11	12	voice	voice	NOUN
fcis-6032	11	13	information	information	NOUN
fcis-6032	11	14	contains	contain	VERB
fcis-6032	11	15	richer	rich	ADJ
fcis-6032	11	16	emotional	emotional	ADJ
fcis-6032	11	17	elements	element	NOUN
fcis-6032	11	18	than	than	ADP
fcis-6032	11	19	text	text	NOUN
fcis-6032	11	20	information	information	NOUN
fcis-6032	11	21	,	,	PUNCT
fcis-6032	11	22	and	and	CCONJ
fcis-6032	11	23	is	be	AUX
fcis-6032	11	24	an	an	DET
fcis-6032	11	25	indispensable	indispensable	ADJ
fcis-6032	11	26	part	part	NOUN
fcis-6032	11	27	of	of	ADP
fcis-6032	11	28	communication	communication	NOUN
fcis-6032	11	29	in	in	ADP
fcis-6032	11	30	today	today	NOUN
fcis-6032	11	31	's	's	PART
fcis-6032	11	32	network	network	NOUN
fcis-6032	11	33	information	information	NOUN
fcis-6032	11	34	era	era	NOUN
fcis-6032	11	35	.	.	PUNCT
fcis-6032	12	1	in	in	ADP
fcis-6032	12	2	the	the	DET
fcis-6032	12	3	era	era	NOUN
fcis-6032	12	4	of	of	ADP
fcis-6032	12	5	voice	voice	NOUN
fcis-6032	12	6	calls	call	NOUN
fcis-6032	12	7	and	and	CCONJ
fcis-6032	12	8	voice	voice	NOUN
fcis-6032	12	9	interaction	interaction	NOUN
fcis-6032	12	10	devices	device	NOUN
fcis-6032	12	11	everywhere	everywhere	ADV
fcis-6032	12	12	,	,	PUNCT
fcis-6032	12	13	voice	voice	NOUN
fcis-6032	12	14	signals	signal	NOUN
fcis-6032	12	15	are	be	AUX
fcis-6032	12	16	so	so	ADV
fcis-6032	12	17	common	common	ADJ
fcis-6032	12	18	but	but	CCONJ
fcis-6032	12	19	so	so	ADV
fcis-6032	12	20	important	important	ADJ
fcis-6032	12	21	.	.	PUNCT
fcis-6032	13	1	with	with	ADP
fcis-6032	13	2	the	the	DET
fcis-6032	13	3	rapid	rapid	ADJ
fcis-6032	13	4	development	development	NOUN
fcis-6032	13	5	of	of	ADP
fcis-6032	13	6	electronic	electronic	ADJ
fcis-6032	13	7	technology	technology	NOUN
fcis-6032	13	8	products	product	NOUN
fcis-6032	13	9	and	and	CCONJ
fcis-6032	13	10	people	people	NOUN
fcis-6032	13	11	's	's	PART
fcis-6032	13	12	dependence	dependence	NOUN
fcis-6032	13	13	on	on	ADP
fcis-6032	13	14	audio	audio	ADJ
fcis-6032	13	15	-	-	ADJ
fcis-6032	13	16	visual	visual	ADJ
fcis-6032	13	17	entertainment	entertainment	NOUN
fcis-6032	13	18	is	be	AUX
fcis-6032	13	19	only	only	ADV
fcis-6032	13	20	increasing	increase	VERB
fcis-6032	13	21	,	,	PUNCT
fcis-6032	13	22	the	the	DET
fcis-6032	13	23	degree	degree	NOUN
fcis-6032	13	24	of	of	ADP
fcis-6032	13	25	intelligence	intelligence	NOUN
fcis-6032	13	26	of	of	ADP
fcis-6032	13	27	voice	voice	NOUN
fcis-6032	13	28	interaction	interaction	NOUN
fcis-6032	13	29	can	can	AUX
fcis-6032	13	30	no	no	ADV
fcis-6032	13	31	longer	long	ADV
fcis-6032	13	32	meet	meet	VERB
fcis-6032	13	33	people	people	NOUN
fcis-6032	13	34	's	's	PART
fcis-6032	13	35	needs	need	NOUN
fcis-6032	13	36	.	.	PUNCT
fcis-6032	14	1	with	with	ADP
fcis-6032	14	2	the	the	DET
fcis-6032	14	3	rapid	rapid	ADJ
fcis-6032	14	4	development	development	NOUN
fcis-6032	14	5	of	of	ADP
fcis-6032	14	6	computer	computer	NOUN
fcis-6032	14	7	performance	performance	NOUN
fcis-6032	14	8	and	and	CCONJ
fcis-6032	14	9	the	the	DET
fcis-6032	14	10	rise	rise	NOUN
fcis-6032	14	11	of	of	ADP
fcis-6032	14	12	machine	machine	NOUN
fcis-6032	14	13	learning	learning	NOUN
fcis-6032	14	14	,	,	PUNCT
fcis-6032	14	15	style	style	NOUN
fcis-6032	14	16	transfer	transfer	NOUN
fcis-6032	14	17	technology	technology	NOUN
fcis-6032	14	18	is	be	AUX
fcis-6032	14	19	widely	widely	ADV
fcis-6032	14	20	used	use	VERB
fcis-6032	14	21	in	in	ADP
fcis-6032	14	22	image	image	NOUN
fcis-6032	14	23	,	,	PUNCT
fcis-6032	14	24	video	video	NOUN
fcis-6032	14	25	and	and	CCONJ
fcis-6032	14	26	audio	audio	NOUN
fcis-6032	14	27	signal	signal	NOUN
fcis-6032	14	28	processing	processing	NOUN
fcis-6032	14	29	,	,	PUNCT
fcis-6032	14	30	defined	define	VERB
fcis-6032	14	31	as	as	ADP
fcis-6032	14	32	the	the	DET
fcis-6032	14	33	extraction	extraction	NOUN
fcis-6032	14	34	of	of	ADP
fcis-6032	14	35	the	the	DET
fcis-6032	14	36	style	style	NOUN
fcis-6032	14	37	features	feature	VERB
fcis-6032	14	38	of	of	ADP
fcis-6032	14	39	subject	subject	NOUN
fcis-6032	14	40	a	a	PRON
fcis-6032	14	41	,	,	PUNCT
fcis-6032	14	42	applied	apply	VERB
fcis-6032	14	43	to	to	ADP
fcis-6032	14	44	subject	subject	NOUN
fcis-6032	14	45	b	b	PROPN
fcis-6032	14	46	,	,	PUNCT
fcis-6032	14	47	to	to	PART
fcis-6032	14	48	obtain	obtain	VERB
fcis-6032	14	49	subject	subject	ADJ
fcis-6032	14	50	b	b	NOUN
fcis-6032	14	51	with	with	ADP
fcis-6032	14	52	features	feature	NOUN
fcis-6032	14	53	of	of	ADP
fcis-6032	14	54	subject	subject	ADJ
fcis-6032	14	55	a.	a.	NOUN
fcis-6032	14	56	speech	speech	NOUN
fcis-6032	14	57	signal	signal	NOUN
fcis-6032	14	58	processing	processing	NOUN
fcis-6032	14	59	is	be	AUX
fcis-6032	14	60	embodied	embody	VERB
fcis-6032	14	61	in	in	ADP
fcis-6032	14	62	the	the	DET
fcis-6032	14	63	extraction	extraction	NOUN
fcis-6032	14	64	of	of	ADP
fcis-6032	14	65	the	the	DET
fcis-6032	14	66	target	target	NOUN
fcis-6032	14	67	speaker	speaker	NOUN
fcis-6032	14	68	's	's	PART
fcis-6032	14	69	speech	speech	NOUN
fcis-6032	14	70	features	feature	NOUN
fcis-6032	14	71	(	(	PUNCT
fcis-6032	14	72	timbre	timbre	NOUN
fcis-6032	14	73	,	,	PUNCT
fcis-6032	14	74	tone	tone	NOUN
fcis-6032	14	75	or	or	CCONJ
fcis-6032	14	76	emotion	emotion	NOUN
fcis-6032	14	77	)	)	PUNCT
fcis-6032	14	78	information	information	NOUN
fcis-6032	14	79	,	,	PUNCT
fcis-6032	14	80	applied	apply	VERB
fcis-6032	14	81	to	to	ADP
fcis-6032	14	82	another	another	DET
fcis-6032	14	83	speech	speech	NOUN
fcis-6032	14	84	signal	signal	NOUN
fcis-6032	14	85	,	,	PUNCT
fcis-6032	14	86	producing	produce	VERB
fcis-6032	14	87	speech	speech	NOUN
fcis-6032	14	88	with	with	ADP
fcis-6032	14	89	the	the	DET
fcis-6032	14	90	target	target	NOUN
fcis-6032	14	91	speaker	speaker	NOUN
fcis-6032	14	92	's	's	PART
fcis-6032	14	93	voice	voice	NOUN
fcis-6032	14	94	characteristics	characteristic	NOUN
fcis-6032	14	95	.	.	PUNCT
fcis-6032	15	1	the	the	DET
fcis-6032	15	2	feature	feature	NOUN
fcis-6032	15	3	,	,	PUNCT
fcis-6032	15	4	which	which	PRON
fcis-6032	15	5	we	we	PRON
fcis-6032	15	6	often	often	ADV
fcis-6032	15	7	see	see	VERB
fcis-6032	15	8	in	in	ADP
fcis-6032	15	9	voice	voice	NOUN
fcis-6032	15	10	assistants	assistant	NOUN
fcis-6032	15	11	on	on	ADP
fcis-6032	15	12	smartphones	smartphone	NOUN
fcis-6032	15	13	,	,	PUNCT
fcis-6032	15	14	records	record	VERB
fcis-6032	15	15	a	a	DET
fcis-6032	15	16	piece	piece	NOUN
fcis-6032	15	17	of	of	ADP
fcis-6032	15	18	audio	audio	NOUN
fcis-6032	15	19	on	on	ADP
fcis-6032	15	20	request	request	NOUN
fcis-6032	15	21	to	to	PART
fcis-6032	15	22	generate	generate	VERB
fcis-6032	15	23	a	a	DET
fcis-6032	15	24	unique	unique	ADJ
fcis-6032	15	25	voice	voice	NOUN
fcis-6032	15	26	style	style	NOUN
fcis-6032	15	27	.	.	PUNCT
fcis-6032	16	1	with	with	ADP
fcis-6032	16	2	the	the	DET
fcis-6032	16	3	development	development	NOUN
fcis-6032	16	4	of	of	ADP
fcis-6032	16	5	voice	voice	NOUN
fcis-6032	16	6	style	style	NOUN
fcis-6032	16	7	transfer	transfer	NOUN
fcis-6032	16	8	technology	technology	NOUN
fcis-6032	16	9	,	,	PUNCT
fcis-6032	16	10	it	it	PRON
fcis-6032	16	11	is	be	AUX
fcis-6032	16	12	widely	widely	ADV
fcis-6032	16	13	used	use	VERB
fcis-6032	16	14	in	in	ADP
fcis-6032	16	15	the	the	DET
fcis-6032	16	16	medical	medical	ADJ
fcis-6032	16	17	field	field	NOUN
fcis-6032	16	18	.	.	PUNCT
fcis-6032	17	1	speech	speech	NOUN
fcis-6032	17	2	style	style	NOUN
fcis-6032	17	3	transfer	transfer	NOUN
fcis-6032	17	4	technology	technology	NOUN
fcis-6032	17	5	is	be	AUX
fcis-6032	17	6	expected	expect	VERB
fcis-6032	17	7	to	to	PART
fcis-6032	17	8	play	play	VERB
fcis-6032	17	9	a	a	DET
fcis-6032	17	10	positive	positive	ADJ
fcis-6032	17	11	role	role	NOUN
fcis-6032	17	12	in	in	ADP
fcis-6032	17	13	the	the	DET
fcis-6032	17	14	adjuvant	adjuvant	ADJ
fcis-6032	17	15	therapy	therapy	NOUN
fcis-6032	17	16	of	of	ADP
fcis-6032	17	17	autistic	autistic	ADJ
fcis-6032	17	18	patients[1	patients[1	NOUN
fcis-6032	17	19	]	]	PUNCT
fcis-6032	17	20	,	,	PUNCT
fcis-6032	17	21	and	and	CCONJ
fcis-6032	17	22	relevant	relevant	ADJ
fcis-6032	17	23	studies	study	NOUN
fcis-6032	17	24	have	have	AUX
fcis-6032	17	25	shown	show	VERB
fcis-6032	17	26	that	that	SCONJ
fcis-6032	17	27	synthetic	synthetic	ADJ
fcis-6032	17	28	speech	speech	NOUN
fcis-6032	17	29	with	with	ADP
fcis-6032	17	30	specific	specific	ADJ
fcis-6032	17	31	speech	speech	NOUN
fcis-6032	17	32	styles	style	NOUN
fcis-6032	17	33	can	can	AUX
fcis-6032	17	34	better	well	ADV
fcis-6032	17	35	achieve	achieve	VERB
fcis-6032	17	36	the	the	DET
fcis-6032	17	37	purpose	purpose	NOUN
fcis-6032	17	38	of	of	ADP
fcis-6032	17	39	communication	communication	NOUN
fcis-6032	17	40	in	in	ADP
fcis-6032	17	41	the	the	DET
fcis-6032	17	42	caregivers	caregiver	NOUN
fcis-6032	17	43	of	of	ADP
fcis-6032	17	44	the	the	DET
fcis-6032	17	45	elderly	elderly	ADJ
fcis-6032	17	46	and	and	CCONJ
fcis-6032	17	47	children	child	NOUN
fcis-6032	17	48	.	.	PUNCT
fcis-6032	18	1	the	the	DET
fcis-6032	18	2	technique	technique	NOUN
fcis-6032	18	3	of	of	ADP
fcis-6032	18	4	style	style	NOUN
fcis-6032	18	5	transfer	transfer	NOUN
fcis-6032	18	6	was	be	AUX
fcis-6032	18	7	originally	originally	ADV
fcis-6032	18	8	used	use	VERB
fcis-6032	18	9	in	in	ADP
fcis-6032	18	10	image	image	NOUN
fcis-6032	18	11	processing	processing	NOUN
fcis-6032	18	12	.	.	PUNCT
fcis-6032	19	1	after	after	ADP
fcis-6032	19	2	a	a	DET
fcis-6032	19	3	large	large	ADJ
fcis-6032	19	4	number	number	NOUN
fcis-6032	19	5	of	of	ADP
fcis-6032	19	6	scholars	scholar	NOUN
fcis-6032	19	7	'	'	PART
fcis-6032	19	8	long	long	ADJ
fcis-6032	19	9	-	-	PUNCT
fcis-6032	19	10	term	term	NOUN
fcis-6032	19	11	research	research	NOUN
fcis-6032	19	12	and	and	CCONJ
fcis-6032	19	13	the	the	DET
fcis-6032	19	14	continuous	continuous	ADJ
fcis-6032	19	15	improvement	improvement	NOUN
fcis-6032	19	16	of	of	ADP
fcis-6032	19	17	various	various	ADJ
fcis-6032	19	18	algorithms	algorithm	NOUN
fcis-6032	19	19	,	,	PUNCT
fcis-6032	19	20	the	the	DET
fcis-6032	19	21	technique	technique	NOUN
fcis-6032	19	22	of	of	ADP
fcis-6032	19	23	image	image	NOUN
fcis-6032	19	24	style	style	NOUN
fcis-6032	19	25	transfer	transfer	NOUN
fcis-6032	19	26	has	have	AUX
fcis-6032	19	27	been	be	AUX
fcis-6032	19	28	relatively	relatively	ADV
fcis-6032	19	29	mature	mature	ADJ
fcis-6032	19	30	.	.	PUNCT
fcis-6032	20	1	in	in	ADP
fcis-6032	20	2	order	order	NOUN
fcis-6032	20	3	to	to	PART
fcis-6032	20	4	provide	provide	VERB
fcis-6032	20	5	development	development	NOUN
fcis-6032	20	6	opportunities	opportunity	NOUN
fcis-6032	20	7	and	and	CCONJ
fcis-6032	20	8	innovation	innovation	NOUN
fcis-6032	20	9	space	space	NOUN
fcis-6032	20	10	for	for	ADP
fcis-6032	20	11	speech	speech	NOUN
fcis-6032	20	12	style	style	NOUN
fcis-6032	20	13	transfer	transfer	NOUN
fcis-6032	20	14	technology	technology	NOUN
fcis-6032	20	15	which	which	PRON
fcis-6032	20	16	is	be	AUX
fcis-6032	20	17	still	still	ADV
fcis-6032	20	18	in	in	ADP
fcis-6032	20	19	long	long	ADJ
fcis-6032	20	20	-	-	PUNCT
fcis-6032	20	21	term	term	NOUN
fcis-6032	20	22	development	development	NOUN
fcis-6032	20	23	,	,	PUNCT
fcis-6032	20	24	it	it	PRON
fcis-6032	20	25	is	be	AUX
fcis-6032	20	26	of	of	ADP
fcis-6032	20	27	great	great	ADJ
fcis-6032	20	28	significance	significance	NOUN
fcis-6032	20	29	to	to	PART
fcis-6032	20	30	learn	learn	VERB
fcis-6032	20	31	and	and	CCONJ
fcis-6032	20	32	summarize	summarize	VERB
fcis-6032	20	33	the	the	DET
fcis-6032	20	34	general	general	ADJ
fcis-6032	20	35	rules	rule	NOUN
fcis-6032	20	36	of	of	ADP
fcis-6032	20	37	style	style	NOUN
fcis-6032	20	38	transfer	transfer	NOUN
fcis-6032	20	39	in	in	ADP
fcis-6032	20	40	image	image	NOUN
fcis-6032	20	41	processing	processing	NOUN
fcis-6032	20	42	.	.	PUNCT
fcis-6032	21	1	at	at	ADP
fcis-6032	21	2	the	the	DET
fcis-6032	21	3	same	same	ADJ
fcis-6032	21	4	time	time	NOUN
fcis-6032	21	5	,	,	PUNCT
fcis-6032	21	6	there	there	PRON
fcis-6032	21	7	are	be	VERB
fcis-6032	21	8	many	many	ADJ
fcis-6032	21	9	kinds	kind	NOUN
fcis-6032	21	10	of	of	ADP
fcis-6032	21	11	machine	machine	NOUN
fcis-6032	21	12	learning	learn	VERB
fcis-6032	21	13	algorithms	algorithm	NOUN
fcis-6032	21	14	about	about	ADP
fcis-6032	21	15	style	style	NOUN
fcis-6032	21	16	transfer	transfer	NOUN
fcis-6032	21	17	technology	technology	NOUN
fcis-6032	21	18	at	at	ADP
fcis-6032	21	19	home	home	NOUN
fcis-6032	21	20	and	and	CCONJ
fcis-6032	21	21	abroad	abroad	ADV
fcis-6032	21	22	,	,	PUNCT
fcis-6032	21	23	which	which	PRON
fcis-6032	21	24	correspond	correspond	VERB
fcis-6032	21	25	to	to	ADP
fcis-6032	21	26	different	different	ADJ
fcis-6032	21	27	use	use	NOUN
fcis-6032	21	28	environments	environment	NOUN
fcis-6032	21	29	,	,	PUNCT
fcis-6032	21	30	and	and	CCONJ
fcis-6032	21	31	the	the	DET
fcis-6032	21	32	effect	effect	NOUN
fcis-6032	21	33	of	of	ADP
fcis-6032	21	34	each	each	DET
fcis-6032	21	35	algorithm	algorithm	NOUN
fcis-6032	21	36	is	be	AUX
fcis-6032	21	37	obviously	obviously	ADV
fcis-6032	21	38	different	different	ADJ
fcis-6032	21	39	.	.	PUNCT
fcis-6032	22	1	this	this	DET
fcis-6032	22	2	paper	paper	NOUN
fcis-6032	22	3	tries	try	VERB
fcis-6032	22	4	to	to	PART
fcis-6032	22	5	study	study	VERB
fcis-6032	22	6	the	the	DET
fcis-6032	22	7	realization	realization	NOUN
fcis-6032	22	8	principle	principle	NOUN
fcis-6032	22	9	of	of	ADP
fcis-6032	22	10	image	image	NOUN
fcis-6032	22	11	and	and	CCONJ
fcis-6032	22	12	video	video	NOUN
fcis-6032	22	13	style	style	NOUN
fcis-6032	22	14	transfer	transfer	NOUN
fcis-6032	22	15	technology	technology	NOUN
fcis-6032	22	16	,	,	PUNCT
fcis-6032	22	17	and	and	CCONJ
fcis-6032	22	18	summarizes	summarize	VERB
fcis-6032	22	19	its	its	PRON
fcis-6032	22	20	key	key	NOUN
fcis-6032	22	21	.	.	PUNCT
fcis-6032	23	1	secondly	secondly	ADV
fcis-6032	23	2	,	,	PUNCT
fcis-6032	23	3	in	in	ADP
fcis-6032	23	4	the	the	DET
fcis-6032	23	5	face	face	NOUN
fcis-6032	23	6	of	of	ADP
fcis-6032	23	7	complex	complex	ADJ
fcis-6032	23	8	and	and	CCONJ
fcis-6032	23	9	changeable	changeable	ADJ
fcis-6032	23	10	environmental	environmental	ADJ
fcis-6032	23	11	influences	influence	NOUN
fcis-6032	23	12	,	,	PUNCT
fcis-6032	23	13	the	the	DET
fcis-6032	23	14	effect	effect	NOUN
fcis-6032	23	15	of	of	ADP
fcis-6032	23	16	different	different	ADJ
fcis-6032	23	17	conversion	conversion	NOUN
fcis-6032	23	18	algorithms	algorithm	NOUN
fcis-6032	23	19	to	to	PART
fcis-6032	23	20	achieve	achieve	VERB
fcis-6032	23	21	voice	voice	NOUN
fcis-6032	23	22	style	style	NOUN
fcis-6032	23	23	transfer	transfer	NOUN
fcis-6032	23	24	is	be	AUX
fcis-6032	23	25	compared	compare	VERB
fcis-6032	23	26	and	and	CCONJ
fcis-6032	23	27	analyzed	analyze	VERB
fcis-6032	23	28	,	,	PUNCT
fcis-6032	23	29	and	and	CCONJ
fcis-6032	23	30	the	the	DET
fcis-6032	23	31	advantages	advantage	NOUN
fcis-6032	23	32	and	and	CCONJ
fcis-6032	23	33	disadvantages	disadvantage	NOUN
fcis-6032	23	34	of	of	ADP
fcis-6032	23	35	each	each	DET
fcis-6032	23	36	algorithm	algorithm	NOUN
fcis-6032	23	37	in	in	ADP
fcis-6032	23	38	different	different	ADJ
fcis-6032	23	39	scenes	scene	NOUN
fcis-6032	23	40	are	be	AUX
fcis-6032	23	41	summarized	summarize	VERB
fcis-6032	23	42	.	.	PUNCT
fcis-6032	24	1	finally	finally	ADV
fcis-6032	24	2	,	,	PUNCT
fcis-6032	24	3	in	in	ADP
fcis-6032	24	4	view	view	NOUN
fcis-6032	24	5	of	of	ADP
fcis-6032	24	6	the	the	DET
fcis-6032	24	7	existing	exist	VERB
fcis-6032	24	8	problems	problem	NOUN
fcis-6032	24	9	of	of	ADP
fcis-6032	24	10	speech	speech	NOUN
fcis-6032	24	11	style	style	NOUN
fcis-6032	24	12	transfer	transfer	NOUN
fcis-6032	24	13	,	,	PUNCT
fcis-6032	24	14	such	such	ADJ
fcis-6032	24	15	as	as	ADP
fcis-6032	24	16	low	low	ADJ
fcis-6032	24	17	naturalness	naturalness	NOUN
fcis-6032	24	18	of	of	ADP
fcis-6032	24	19	speech	speech	NOUN
fcis-6032	24	20	,	,	PUNCT
fcis-6032	24	21	high	high	ADJ
fcis-6032	24	22	cost	cost	NOUN
fcis-6032	24	23	of	of	ADP
fcis-6032	24	24	modeling	model	VERB
fcis-6032	24	25	resources	resource	NOUN
fcis-6032	24	26	or	or	CCONJ
fcis-6032	24	27	easy	easy	ADJ
fcis-6032	24	28	to	to	PART
fcis-6032	24	29	be	be	AUX
fcis-6032	24	30	disturbed	disturb	VERB
fcis-6032	24	31	by	by	ADP
fcis-6032	24	32	environment	environment	NOUN
fcis-6032	24	33	,	,	PUNCT
fcis-6032	24	34	some	some	DET
fcis-6032	24	35	suggestions	suggestion	NOUN
fcis-6032	24	36	are	be	AUX
fcis-6032	24	37	provided	provide	VERB
fcis-6032	24	38	for	for	ADP
fcis-6032	24	39	the	the	DET
fcis-6032	24	40	development	development	NOUN
fcis-6032	24	41	of	of	ADP
fcis-6032	24	42	speech	speech	NOUN
fcis-6032	24	43	style	style	NOUN
fcis-6032	24	44	transfer	transfer	NOUN
fcis-6032	24	45	technology	technology	NOUN
fcis-6032	24	46	.	.	PUNCT
fcis-6032	25	1	1.2	1.2	NUM
fcis-6032	25	2	.	.	PUNCT
fcis-6032	25	3	research	research	NOUN
fcis-6032	25	4	status	status	NOUN
fcis-6032	25	5	at	at	ADP
fcis-6032	25	6	home	home	ADV
fcis-6032	25	7	and	and	CCONJ
fcis-6032	25	8	abroad	abroad	ADV
fcis-6032	25	9	the	the	DET
fcis-6032	25	10	concept	concept	NOUN
fcis-6032	25	11	of	of	ADP
fcis-6032	25	12	style	style	NOUN
fcis-6032	25	13	transfer	transfer	NOUN
fcis-6032	25	14	originated	originate	VERB
fcis-6032	25	15	from	from	ADP
fcis-6032	25	16	the	the	DET
fcis-6032	25	17	field	field	NOUN
fcis-6032	25	18	of	of	ADP
fcis-6032	25	19	image	image	NOUN
fcis-6032	25	20	processing	processing	NOUN
fcis-6032	25	21	in	in	ADP
fcis-6032	25	22	the	the	DET
fcis-6032	25	23	early	early	ADJ
fcis-6032	25	24	stage	stage	NOUN
fcis-6032	25	25	,	,	PUNCT
fcis-6032	25	26	and	and	CCONJ
fcis-6032	25	27	the	the	DET
fcis-6032	25	28	research	research	NOUN
fcis-6032	25	29	on	on	ADP
fcis-6032	25	30	voice	voice	NOUN
fcis-6032	25	31	style	style	NOUN
fcis-6032	25	32	transfer	transfer	NOUN
fcis-6032	25	33	began	begin	VERB
fcis-6032	25	34	in	in	ADP
fcis-6032	25	35	the	the	DET
fcis-6032	25	36	1980s	1980s	NUM
fcis-6032	25	37	.	.	PUNCT
fcis-6032	26	1	in	in	ADP
fcis-6032	26	2	the	the	DET
fcis-6032	26	3	early	early	ADJ
fcis-6032	26	4	stage	stage	NOUN
fcis-6032	26	5	,	,	PUNCT
fcis-6032	26	6	abe	abe	PROPN
fcis-6032	26	7	et	et	PROPN
fcis-6032	26	8	al	al	PROPN
fcis-6032	26	9	.	.	PROPN
fcis-6032	26	10	proposed	propose	VERB
fcis-6032	26	11	using	use	VERB
fcis-6032	26	12	vector	vector	NOUN
fcis-6032	26	13	quantization	quantization	NOUN
fcis-6032	26	14	codebook	codebook	NOUN
fcis-6032	26	15	mapping	mapping	NOUN
fcis-6032	26	16	to	to	PART
fcis-6032	26	17	realize	realize	VERB
fcis-6032	26	18	speech	speech	NOUN
fcis-6032	26	19	conversion[2	conversion[2	NOUN
fcis-6032	26	20	]	]	PUNCT
fcis-6032	26	21	.	.	PUNCT
fcis-6032	27	1	in	in	ADP
fcis-6032	27	2	china	china	PROPN
fcis-6032	27	3	,	,	PUNCT
fcis-6032	27	4	chu	chu	PROPN
fcis-6032	27	5	min	min	PROPN
fcis-6032	27	6	et	et	PROPN
fcis-6032	27	7	al.[3	al.[3	PROPN
fcis-6032	27	8	]	]	PUNCT
fcis-6032	27	9	proposed	propose	VERB
fcis-6032	27	10	a	a	DET
fcis-6032	27	11	method	method	NOUN
fcis-6032	27	12	based	base	VERB
fcis-6032	27	13	on	on	ADP
fcis-6032	27	14	time	time	NOUN
fcis-6032	27	15	domain	domain	NOUN
fcis-6032	27	16	pitch	pitch	NOUN
fcis-6032	27	17	synchronous	synchronous	ADJ
fcis-6032	27	18	overlap	overlap	NOUN
fcis-6032	27	19	add	add	VERB
fcis-6032	27	20	(	(	PUNCT
fcis-6032	27	21	td	td	NOUN
fcis-6032	27	22	-	-	PUNCT
fcis-6032	27	23	psola	psola	NOUN
fcis-6032	27	24	)	)	PUNCT
fcis-6032	27	25	to	to	PART
fcis-6032	27	26	realize	realize	VERB
fcis-6032	27	27	the	the	DET
fcis-6032	27	28	conversion	conversion	NOUN
fcis-6032	27	29	of	of	ADP
fcis-6032	27	30	male	male	ADJ
fcis-6032	27	31	voice	voice	NOUN
fcis-6032	27	32	and	and	CCONJ
fcis-6032	27	33	female	female	ADJ
fcis-6032	27	34	voice	voice	NOUN
fcis-6032	27	35	.	.	PUNCT
fcis-6032	28	1	johnson	johnson	PROPN
fcis-6032	28	2	et	et	PROPN
fcis-6032	28	3	al	al	PROPN
fcis-6032	28	4	.	.	PUNCT
fcis-6032	29	1	[	[	X
fcis-6032	29	2	4	4	X
fcis-6032	29	3	]	]	PUNCT
fcis-6032	29	4	proposed	propose	VERB
fcis-6032	29	5	a	a	DET
fcis-6032	29	6	feedforward	feedforward	ADJ
fcis-6032	29	7	neural	neural	ADJ
fcis-6032	29	8	network	network	NOUN
fcis-6032	29	9	with	with	ADP
fcis-6032	29	10	perception	perception	NOUN
fcis-6032	29	11	loss	loss	NOUN
fcis-6032	29	12	function	function	NOUN
fcis-6032	29	13	,	,	PUNCT
fcis-6032	29	14	which	which	PRON
fcis-6032	29	15	consists	consist	VERB
fcis-6032	29	16	of	of	ADP
fcis-6032	29	17	two	two	NUM
fcis-6032	29	18	parts	part	NOUN
fcis-6032	29	19	:	:	PUNCT
fcis-6032	29	20	one	one	NUM
fcis-6032	29	21	is	be	AUX
fcis-6032	29	22	the	the	DET
fcis-6032	29	23	image	image	NOUN
fcis-6032	29	24	generation	generation	NOUN
fcis-6032	29	25	network	network	NOUN
fcis-6032	29	26	,	,	PUNCT
fcis-6032	29	27	which	which	PRON
fcis-6032	29	28	is	be	AUX
fcis-6032	29	29	a	a	DET
fcis-6032	29	30	deep	deep	ADJ
fcis-6032	29	31	residual	residual	ADJ
fcis-6032	29	32	network	network	NOUN
fcis-6032	29	33	,	,	PUNCT
fcis-6032	29	34	which	which	PRON
fcis-6032	29	35	can	can	AUX
fcis-6032	29	36	be	be	AUX
fcis-6032	29	37	trained	train	VERB
fcis-6032	29	38	to	to	PART
fcis-6032	29	39	get	get	VERB
fcis-6032	29	40	a	a	DET
fcis-6032	29	41	specific	specific	ADJ
fcis-6032	29	42	style	style	NOUN
fcis-6032	29	43	.	.	PUNCT
fcis-6032	30	1	the	the	DET
fcis-6032	30	2	other	other	ADJ
fcis-6032	30	3	is	be	AUX
fcis-6032	30	4	the	the	DET
fcis-6032	30	5	loss	loss	NOUN
fcis-6032	30	6	network	network	NOUN
fcis-6032	30	7	(	(	PUNCT
fcis-6032	30	8	also	also	ADV
fcis-6032	30	9	called	call	VERB
fcis-6032	30	10	feature	feature	NOUN
fcis-6032	30	11	extraction	extraction	NOUN
fcis-6032	30	12	network	network	NOUN
fcis-6032	30	13	)	)	PUNCT
fcis-6032	30	14	,	,	PUNCT
fcis-6032	30	15	which	which	PRON
fcis-6032	30	16	is	be	AUX
fcis-6032	30	17	used	use	VERB
fcis-6032	30	18	to	to	PART
fcis-6032	30	19	calculate	calculate	VERB
fcis-6032	30	20	the	the	DET
fcis-6032	30	21	size	size	NOUN
fcis-6032	30	22	of	of	ADP
fcis-6032	30	23	the	the	DET
fcis-6032	30	24	gap	gap	NOUN
fcis-6032	30	25	between	between	ADP
fcis-6032	30	26	the	the	DET
fcis-6032	30	27	input	input	NOUN
fcis-6032	30	28	content	content	NOUN
fcis-6032	30	29	image	image	NOUN
fcis-6032	30	30	and	and	CCONJ
fcis-6032	30	31	the	the	DET
fcis-6032	30	32	style	style	NOUN
fcis-6032	30	33	image	image	NOUN
fcis-6032	30	34	,	,	PUNCT
fcis-6032	30	35	and	and	CCONJ
fcis-6032	30	36	provides	provide	VERB
fcis-6032	30	37	the	the	DET
fcis-6032	30	38	gradient	gradient	NOUN
fcis-6032	30	39	for	for	ADP
fcis-6032	30	40	the	the	DET
fcis-6032	30	41	parameter	parameter	NOUN
fcis-6032	30	42	update	update	NOUN
fcis-6032	30	43	of	of	ADP
fcis-6032	30	44	the	the	DET
fcis-6032	30	45	image	image	NOUN
fcis-6032	30	46	conversion	conversion	NOUN
fcis-6032	30	47	network	network	NOUN
fcis-6032	30	48	,	,	PUNCT
fcis-6032	30	49	although	although	SCONJ
fcis-6032	30	50	the	the	DET
fcis-6032	30	51	speed	speed	NOUN
fcis-6032	30	52	is	be	AUX
fcis-6032	30	53	much	much	ADV
fcis-6032	30	54	improved	improve	VERB
fcis-6032	30	55	.	.	PUNCT
fcis-6032	31	1	but	but	CCONJ
fcis-6032	31	2	the	the	DET
fcis-6032	31	3	network	network	NOUN
fcis-6032	31	4	needs	need	VERB
fcis-6032	31	5	to	to	PART
fcis-6032	31	6	be	be	AUX
fcis-6032	31	7	retrained	retrain	VERB
fcis-6032	31	8	for	for	ADP
fcis-6032	31	9	different	different	ADJ
fcis-6032	31	10	styles	style	NOUN
fcis-6032	31	11	.	.	PUNCT
fcis-6032	32	1	shortly	shortly	ADV
fcis-6032	32	2	after	after	ADP
fcis-6032	32	3	this	this	DET
fcis-6032	32	4	research	research	NOUN
fcis-6032	32	5	,	,	PUNCT
fcis-6032	32	6	goodfellow	goodfellow	PROPN
fcis-6032	32	7	et	et	PROPN
fcis-6032	32	8	al	al	PROPN
fcis-6032	32	9	.	.	PUNCT
fcis-6032	33	1	[	[	X
fcis-6032	33	2	5]proposed	5]propose	VERB
fcis-6032	33	3	a	a	DET
fcis-6032	33	4	generative	generative	ADJ
fcis-6032	33	5	adversarial	adversarial	ADJ
fcis-6032	33	6	network	network	NOUN
fcis-6032	33	7	(	(	PUNCT
fcis-6032	33	8	gan)model	gan)model	PROPN
fcis-6032	33	9	.	.	PUNCT
fcis-6032	34	1	the	the	DET
fcis-6032	34	2	network	network	NOUN
fcis-6032	34	3	consists	consist	VERB
fcis-6032	34	4	of	of	ADP
fcis-6032	34	5	two	two	NUM
fcis-6032	34	6	parts	part	NOUN
fcis-6032	34	7	,	,	PUNCT
fcis-6032	34	8	generator	generator	NOUN
fcis-6032	34	9	and	and	CCONJ
fcis-6032	34	10	discriminator	discriminator	NOUN
fcis-6032	34	11	,	,	PUNCT
fcis-6032	34	12	and	and	CCONJ
fcis-6032	34	13	learns	learn	VERB
fcis-6032	34	14	the	the	DET
fcis-6032	34	15	generative	generative	ADJ
fcis-6032	34	16	model	model	NOUN
fcis-6032	34	17	by	by	ADP
fcis-6032	34	18	means	mean	NOUN
fcis-6032	34	19	of	of	ADP
fcis-6032	34	20	adversarial	adversarial	ADJ
fcis-6032	34	21	game	game	NOUN
fcis-6032	34	22	.	.	PUNCT
fcis-6032	35	1	zhu	zhu	PROPN
fcis-6032	35	2	et	et	PROPN
fcis-6032	35	3	al.[6	al.[6	PROPN
fcis-6032	35	4	]	]	PUNCT
fcis-6032	35	5	proposed	propose	VERB
fcis-6032	35	6	the	the	DET
fcis-6032	35	7	95	95	NUM
fcis-6032	35	8	cyclegan	cyclegan	NOUN
fcis-6032	35	9	framework	framework	NOUN
fcis-6032	35	10	,	,	PUNCT
fcis-6032	35	11	which	which	PRON
fcis-6032	35	12	used	use	VERB
fcis-6032	35	13	generators	generator	NOUN
fcis-6032	35	14	and	and	CCONJ
fcis-6032	35	15	discriminators	discriminator	NOUN
fcis-6032	35	16	to	to	PART
fcis-6032	35	17	map	map	VERB
fcis-6032	35	18	and	and	CCONJ
fcis-6032	35	19	reflect	reflect	VERB
fcis-6032	35	20	images	image	NOUN
fcis-6032	35	21	from	from	ADP
fcis-6032	35	22	the	the	DET
fcis-6032	35	23	source	source	NOUN
fcis-6032	35	24	domain	domain	NOUN
fcis-6032	35	25	to	to	ADP
fcis-6032	35	26	the	the	DET
fcis-6032	35	27	target	target	NOUN
fcis-6032	35	28	domain	domain	NOUN
fcis-6032	35	29	,	,	PUNCT
fcis-6032	35	30	and	and	CCONJ
fcis-6032	35	31	obtained	obtain	VERB
fcis-6032	35	32	source	source	NOUN
fcis-6032	35	33	images	image	NOUN
fcis-6032	35	34	similar	similar	ADJ
fcis-6032	35	35	to	to	ADP
fcis-6032	35	36	the	the	DET
fcis-6032	35	37	target	target	NOUN
fcis-6032	35	38	image	image	NOUN
fcis-6032	35	39	through	through	ADP
fcis-6032	35	40	1l	1l	NUM
fcis-6032	35	41	norm	norm	NOUN
fcis-6032	35	42	constraints	constraint	NOUN
fcis-6032	35	43	.	.	PUNCT
fcis-6032	36	1	although	although	SCONJ
fcis-6032	36	2	style	style	NOUN
fcis-6032	36	3	transfer	transfer	NOUN
fcis-6032	36	4	is	be	AUX
fcis-6032	36	5	presented	present	VERB
fcis-6032	36	6	in	in	ADP
fcis-6032	36	7	more	more	ADV
fcis-6032	36	8	diversified	diversified	ADJ
fcis-6032	36	9	ways	way	NOUN
fcis-6032	36	10	under	under	ADP
fcis-6032	36	11	the	the	DET
fcis-6032	36	12	framework	framework	NOUN
fcis-6032	36	13	of	of	ADP
fcis-6032	36	14	deep	deep	ADJ
fcis-6032	36	15	neural	neural	ADJ
fcis-6032	36	16	network	network	NOUN
fcis-6032	36	17	,	,	PUNCT
fcis-6032	36	18	there	there	PRON
fcis-6032	36	19	is	be	VERB
fcis-6032	36	20	still	still	ADV
fcis-6032	36	21	a	a	DET
fcis-6032	36	22	lot	lot	NOUN
fcis-6032	36	23	of	of	ADP
fcis-6032	36	24	room	room	NOUN
fcis-6032	36	25	for	for	ADP
fcis-6032	36	26	improvement	improvement	NOUN
fcis-6032	36	27	.	.	PUNCT
fcis-6032	37	1	in	in	ADP
fcis-6032	37	2	the	the	DET
fcis-6032	37	3	aspect	aspect	NOUN
fcis-6032	37	4	of	of	ADP
fcis-6032	37	5	application	application	NOUN
fcis-6032	37	6	,	,	PUNCT
fcis-6032	37	7	we	we	PRON
fcis-6032	37	8	can	can	AUX
fcis-6032	37	9	consider	consider	VERB
fcis-6032	37	10	applying	apply	VERB
fcis-6032	37	11	style	style	NOUN
fcis-6032	37	12	transfer	transfer	NOUN
fcis-6032	37	13	to	to	ADP
fcis-6032	37	14	speech	speech	NOUN
fcis-6032	37	15	signal	signal	NOUN
fcis-6032	37	16	to	to	PART
fcis-6032	37	17	realize	realize	VERB
fcis-6032	37	18	the	the	DET
fcis-6032	37	19	personalized	personalized	ADJ
fcis-6032	37	20	function	function	NOUN
fcis-6032	37	21	of	of	ADP
fcis-6032	37	22	speech	speech	NOUN
fcis-6032	37	23	so	so	SCONJ
fcis-6032	37	24	as	as	SCONJ
fcis-6032	37	25	to	to	PART
fcis-6032	37	26	make	make	VERB
fcis-6032	37	27	its	its	PRON
fcis-6032	37	28	application	application	NOUN
fcis-6032	37	29	more	more	ADV
fcis-6032	37	30	extensive	extensive	ADJ
fcis-6032	37	31	.	.	PUNCT
fcis-6032	38	1	2	2	X
fcis-6032	38	2	.	.	X
fcis-6032	38	3	the	the	DET
fcis-6032	38	4	application	application	NOUN
fcis-6032	38	5	of	of	ADP
fcis-6032	38	6	style	style	NOUN
fcis-6032	38	7	transfer	transfer	NOUN
fcis-6032	38	8	in	in	ADP
fcis-6032	38	9	image	image	NOUN
fcis-6032	38	10	processing	processing	NOUN
fcis-6032	38	11	image	image	NOUN
fcis-6032	38	12	style	style	NOUN
fcis-6032	38	13	conversion	conversion	NOUN
fcis-6032	38	14	is	be	AUX
fcis-6032	38	15	an	an	DET
fcis-6032	38	16	increasingly	increasingly	ADV
fcis-6032	38	17	popular	popular	ADJ
fcis-6032	38	18	topic	topic	NOUN
fcis-6032	38	19	in	in	ADP
fcis-6032	38	20	the	the	DET
fcis-6032	38	21	field	field	NOUN
fcis-6032	38	22	of	of	ADP
fcis-6032	38	23	artificial	artificial	ADJ
fcis-6032	38	24	intelligence	intelligence	NOUN
fcis-6032	38	25	and	and	CCONJ
fcis-6032	38	26	computer	computer	NOUN
fcis-6032	38	27	vision	vision	NOUN
fcis-6032	38	28	,	,	PUNCT
fcis-6032	38	29	using	use	VERB
fcis-6032	38	30	deep	deep	ADJ
fcis-6032	38	31	learning	learning	NOUN
fcis-6032	38	32	models	model	NOUN
fcis-6032	38	33	to	to	PART
fcis-6032	38	34	transform	transform	VERB
fcis-6032	38	35	images	image	NOUN
fcis-6032	38	36	into	into	ADP
fcis-6032	38	37	different	different	ADJ
fcis-6032	38	38	visual	visual	ADJ
fcis-6032	38	39	styles	style	NOUN
fcis-6032	38	40	.	.	PUNCT
fcis-6032	39	1	the	the	DET
fcis-6032	39	2	technology	technology	NOUN
fcis-6032	39	3	has	have	VERB
fcis-6032	39	4	the	the	DET
fcis-6032	39	5	potential	potential	NOUN
fcis-6032	39	6	to	to	PART
fcis-6032	39	7	expand	expand	VERB
fcis-6032	39	8	creative	creative	ADJ
fcis-6032	39	9	horizons	horizon	NOUN
fcis-6032	39	10	,	,	PUNCT
fcis-6032	39	11	allowing	allow	VERB
fcis-6032	39	12	artists	artist	NOUN
fcis-6032	39	13	to	to	PART
fcis-6032	39	14	create	create	VERB
fcis-6032	39	15	a	a	DET
fcis-6032	39	16	variety	variety	NOUN
fcis-6032	39	17	of	of	ADP
fcis-6032	39	18	new	new	ADJ
fcis-6032	39	19	visual	visual	ADJ
fcis-6032	39	20	styles	style	NOUN
fcis-6032	39	21	of	of	ADP
fcis-6032	39	22	art	art	NOUN
fcis-6032	39	23	quickly	quickly	ADV
fcis-6032	39	24	and	and	CCONJ
fcis-6032	39	25	easily	easily	ADV
fcis-6032	39	26	.	.	PUNCT
fcis-6032	40	1	the	the	DET
fcis-6032	40	2	concept	concept	NOUN
fcis-6032	40	3	behind	behind	ADP
fcis-6032	40	4	image	image	NOUN
fcis-6032	40	5	style	style	NOUN
fcis-6032	40	6	conversion	conversion	NOUN
fcis-6032	40	7	is	be	AUX
fcis-6032	40	8	based	base	VERB
fcis-6032	40	9	on	on	ADP
fcis-6032	40	10	the	the	DET
fcis-6032	40	11	idea	idea	NOUN
fcis-6032	40	12	that	that	SCONJ
fcis-6032	40	13	an	an	DET
fcis-6032	40	14	image	image	NOUN
fcis-6032	40	15	's	's	PART
fcis-6032	40	16	content	content	NOUN
fcis-6032	40	17	can	can	AUX
fcis-6032	40	18	be	be	AUX
fcis-6032	40	19	separated	separate	VERB
fcis-6032	40	20	from	from	ADP
fcis-6032	40	21	its	its	PRON
fcis-6032	40	22	style	style	NOUN
fcis-6032	40	23	.	.	PUNCT
fcis-6032	41	1	machine	machine	NOUN
fcis-6032	41	2	learning	learn	VERB
fcis-6032	41	3	algorithms	algorithm	NOUN
fcis-6032	41	4	are	be	AUX
fcis-6032	41	5	used	use	VERB
fcis-6032	41	6	to	to	PART
fcis-6032	41	7	identify	identify	VERB
fcis-6032	41	8	features	feature	NOUN
fcis-6032	41	9	in	in	ADP
fcis-6032	41	10	an	an	DET
fcis-6032	41	11	image	image	NOUN
fcis-6032	41	12	and	and	CCONJ
fcis-6032	41	13	then	then	ADV
fcis-6032	41	14	transmit	transmit	VERB
fcis-6032	41	15	those	those	DET
fcis-6032	41	16	features	feature	NOUN
fcis-6032	41	17	to	to	ADP
fcis-6032	41	18	another	another	DET
fcis-6032	41	19	image	image	NOUN
fcis-6032	41	20	.	.	PUNCT
fcis-6032	42	1	this	this	PRON
fcis-6032	42	2	allows	allow	VERB
fcis-6032	42	3	the	the	DET
fcis-6032	42	4	content	content	NOUN
fcis-6032	42	5	of	of	ADP
fcis-6032	42	6	one	one	NUM
fcis-6032	42	7	image	image	NOUN
fcis-6032	42	8	to	to	PART
fcis-6032	42	9	be	be	AUX
fcis-6032	42	10	combined	combine	VERB
fcis-6032	42	11	with	with	ADP
fcis-6032	42	12	the	the	DET
fcis-6032	42	13	style	style	NOUN
fcis-6032	42	14	of	of	ADP
fcis-6032	42	15	another	another	DET
fcis-6032	42	16	image	image	NOUN
fcis-6032	42	17	to	to	PART
fcis-6032	42	18	create	create	VERB
fcis-6032	42	19	an	an	DET
fcis-6032	42	20	entirely	entirely	ADV
fcis-6032	42	21	new	new	ADJ
fcis-6032	42	22	image	image	NOUN
fcis-6032	42	23	.	.	PUNCT
fcis-6032	43	1	to	to	PART
fcis-6032	43	2	achieve	achieve	VERB
fcis-6032	43	3	a	a	DET
fcis-6032	43	4	successful	successful	ADJ
fcis-6032	43	5	transformation	transformation	NOUN
fcis-6032	43	6	of	of	ADP
fcis-6032	43	7	image	image	NOUN
fcis-6032	43	8	styles	style	NOUN
fcis-6032	43	9	,	,	PUNCT
fcis-6032	43	10	several	several	ADJ
fcis-6032	43	11	factors	factor	NOUN
fcis-6032	43	12	must	must	AUX
fcis-6032	43	13	be	be	AUX
fcis-6032	43	14	considered	consider	VERB
fcis-6032	43	15	.	.	PUNCT
fcis-6032	44	1	first	first	ADV
fcis-6032	44	2	,	,	PUNCT
fcis-6032	44	3	in	in	ADP
fcis-6032	44	4	order	order	NOUN
fcis-6032	44	5	to	to	PART
fcis-6032	44	6	achieve	achieve	VERB
fcis-6032	44	7	a	a	DET
fcis-6032	44	8	high	high	ADJ
fcis-6032	44	9	-	-	PUNCT
fcis-6032	44	10	quality	quality	NOUN
fcis-6032	44	11	migration	migration	NOUN
fcis-6032	44	12	effect	effect	NOUN
fcis-6032	44	13	,	,	PUNCT
fcis-6032	44	14	you	you	PRON
fcis-6032	44	15	need	need	VERB
fcis-6032	44	16	to	to	PART
fcis-6032	44	17	accurately	accurately	ADV
fcis-6032	44	18	represent	represent	VERB
fcis-6032	44	19	the	the	DET
fcis-6032	44	20	source	source	NOUN
fcis-6032	44	21	image	image	NOUN
fcis-6032	44	22	and	and	CCONJ
fcis-6032	44	23	the	the	DET
fcis-6032	44	24	target	target	NOUN
fcis-6032	44	25	image	image	NOUN
fcis-6032	44	26	.	.	PUNCT
fcis-6032	45	1	this	this	PRON
fcis-6032	45	2	includes	include	VERB
fcis-6032	45	3	making	make	VERB
fcis-6032	45	4	sure	sure	ADJ
fcis-6032	45	5	you	you	PRON
fcis-6032	45	6	use	use	VERB
fcis-6032	45	7	the	the	DET
fcis-6032	45	8	same	same	ADJ
fcis-6032	45	9	resolution	resolution	NOUN
fcis-6032	45	10	,	,	PUNCT
fcis-6032	45	11	aspect	aspect	NOUN
fcis-6032	45	12	ratio	ratio	NOUN
fcis-6032	45	13	,	,	PUNCT
fcis-6032	45	14	and	and	CCONJ
fcis-6032	45	15	color	color	NOUN
fcis-6032	45	16	.	.	PUNCT
fcis-6032	46	1	second	second	ADJ
fcis-6032	46	2	,	,	PUNCT
fcis-6032	46	3	the	the	DET
fcis-6032	46	4	machine	machine	NOUN
fcis-6032	46	5	learning	learning	NOUN
fcis-6032	46	6	model	model	NOUN
fcis-6032	46	7	must	must	AUX
fcis-6032	46	8	be	be	AUX
fcis-6032	46	9	trained	train	VERB
fcis-6032	46	10	on	on	ADP
fcis-6032	46	11	the	the	DET
fcis-6032	46	12	original	original	ADJ
fcis-6032	46	13	image	image	NOUN
fcis-6032	46	14	to	to	PART
fcis-6032	46	15	learn	learn	VERB
fcis-6032	46	16	how	how	SCONJ
fcis-6032	46	17	to	to	PART
fcis-6032	46	18	extract	extract	VERB
fcis-6032	46	19	the	the	DET
fcis-6032	46	20	visual	visual	ADJ
fcis-6032	46	21	features	feature	NOUN
fcis-6032	46	22	of	of	ADP
fcis-6032	46	23	the	the	DET
fcis-6032	46	24	image	image	NOUN
fcis-6032	46	25	.	.	PUNCT
fcis-6032	47	1	finally	finally	ADV
fcis-6032	47	2	,	,	PUNCT
fcis-6032	47	3	the	the	DET
fcis-6032	47	4	target	target	NOUN
fcis-6032	47	5	image	image	NOUN
fcis-6032	47	6	needs	need	VERB
fcis-6032	47	7	to	to	PART
fcis-6032	47	8	be	be	AUX
fcis-6032	47	9	provided	provide	VERB
fcis-6032	47	10	so	so	SCONJ
fcis-6032	47	11	that	that	SCONJ
fcis-6032	47	12	the	the	DET
fcis-6032	47	13	model	model	NOUN
fcis-6032	47	14	can	can	AUX
fcis-6032	47	15	add	add	VERB
fcis-6032	47	16	the	the	DET
fcis-6032	47	17	style	style	NOUN
fcis-6032	47	18	of	of	ADP
fcis-6032	47	19	the	the	DET
fcis-6032	47	20	source	source	NOUN
fcis-6032	47	21	image	image	NOUN
fcis-6032	47	22	to	to	ADP
fcis-6032	47	23	the	the	DET
fcis-6032	47	24	target	target	NOUN
fcis-6032	47	25	image	image	NOUN
fcis-6032	47	26	.	.	PUNCT
fcis-6032	48	1	the	the	DET
fcis-6032	48	2	most	most	ADV
fcis-6032	48	3	commonly	commonly	ADV
fcis-6032	48	4	used	use	VERB
fcis-6032	48	5	image	image	NOUN
fcis-6032	48	6	style	style	NOUN
fcis-6032	48	7	transfer	transfer	NOUN
fcis-6032	48	8	algorithms	algorithm	NOUN
fcis-6032	48	9	include	include	VERB
fcis-6032	48	10	neural	neural	ADJ
fcis-6032	48	11	style	style	NOUN
fcis-6032	48	12	transfer	transfer	NOUN
fcis-6032	48	13	,	,	PUNCT
fcis-6032	48	14	feature	feature	NOUN
fcis-6032	48	15	transfer	transfer	NOUN
fcis-6032	48	16	learning	learning	NOUN
fcis-6032	48	17	,	,	PUNCT
fcis-6032	48	18	cyclegan	cyclegan	NOUN
fcis-6032	48	19	and	and	CCONJ
fcis-6032	48	20	instance	instance	NOUN
fcis-6032	48	21	normalization	normalization	NOUN
fcis-6032	48	22	and	and	CCONJ
fcis-6032	48	23	normalization	normalization	NOUN
fcis-6032	48	24	,	,	PUNCT
fcis-6032	48	25	along	along	ADP
fcis-6032	48	26	with	with	ADP
fcis-6032	48	27	texture	texture	ADJ
fcis-6032	48	28	networks	network	NOUN
fcis-6032	48	29	.	.	PUNCT
fcis-6032	49	1	2.1	2.1	NUM
fcis-6032	49	2	.	.	PUNCT
fcis-6032	49	3	neural	neural	ADJ
fcis-6032	49	4	style	style	NOUN
fcis-6032	49	5	transfer	transfer	NOUN
fcis-6032	49	6	by	by	ADP
fcis-6032	49	7	speeding	speed	VERB
fcis-6032	49	8	up	up	ADP
fcis-6032	49	9	the	the	DET
fcis-6032	49	10	process	process	NOUN
fcis-6032	49	11	of	of	ADP
fcis-6032	49	12	deep	deep	ADJ
fcis-6032	49	13	learning	learning	NOUN
fcis-6032	49	14	,	,	PUNCT
fcis-6032	49	15	neural	neural	ADJ
fcis-6032	49	16	style	style	NOUN
fcis-6032	49	17	transfer	transfer	NOUN
fcis-6032	49	18	algorithm	algorithm	NOUN
fcis-6032	49	19	can	can	AUX
fcis-6032	49	20	stylize	stylize	VERB
fcis-6032	49	21	images	image	NOUN
fcis-6032	49	22	quickly	quickly	ADV
fcis-6032	49	23	and	and	CCONJ
fcis-6032	49	24	effectively	effectively	ADV
fcis-6032	49	25	.	.	PUNCT
fcis-6032	50	1	it	it	PRON
fcis-6032	50	2	can	can	AUX
fcis-6032	50	3	be	be	AUX
fcis-6032	50	4	compared	compare	VERB
fcis-6032	50	5	with	with	ADP
fcis-6032	50	6	the	the	DET
fcis-6032	50	7	more	more	ADV
fcis-6032	50	8	advanced	advanced	ADJ
fcis-6032	50	9	algorithms	algorithm	NOUN
fcis-6032	50	10	in	in	ADP
fcis-6032	50	11	style	style	NOUN
fcis-6032	50	12	transfer	transfer	NOUN
fcis-6032	50	13	effect	effect	NOUN
fcis-6032	50	14	,	,	PUNCT
fcis-6032	50	15	while	while	SCONJ
fcis-6032	50	16	keeping	keep	VERB
fcis-6032	50	17	the	the	DET
fcis-6032	50	18	complexity	complexity	NOUN
fcis-6032	50	19	of	of	ADP
fcis-6032	50	20	algorithm	algorithm	NOUN
fcis-6032	50	21	implementation	implementation	NOUN
fcis-6032	50	22	low	low	ADJ
fcis-6032	50	23	.	.	PUNCT
fcis-6032	51	1	however	however	ADV
fcis-6032	51	2	,	,	PUNCT
fcis-6032	51	3	this	this	DET
fcis-6032	51	4	method	method	NOUN
fcis-6032	51	5	requires	require	VERB
fcis-6032	51	6	high	high	ADJ
fcis-6032	51	7	computer	computer	NOUN
fcis-6032	51	8	performance	performance	NOUN
fcis-6032	51	9	and	and	CCONJ
fcis-6032	51	10	computing	computing	NOUN
fcis-6032	51	11	power	power	NOUN
fcis-6032	51	12	,	,	PUNCT
fcis-6032	51	13	so	so	SCONJ
fcis-6032	51	14	it	it	PRON
fcis-6032	51	15	may	may	AUX
fcis-6032	51	16	consume	consume	VERB
fcis-6032	51	17	a	a	DET
fcis-6032	51	18	lot	lot	NOUN
fcis-6032	51	19	of	of	ADP
fcis-6032	51	20	time	time	NOUN
fcis-6032	51	21	and	and	CCONJ
fcis-6032	51	22	resources	resource	NOUN
fcis-6032	51	23	in	in	ADP
fcis-6032	51	24	the	the	DET
fcis-6032	51	25	computing	computing	NOUN
fcis-6032	51	26	process	process	NOUN
fcis-6032	51	27	if	if	SCONJ
fcis-6032	51	28	it	it	PRON
fcis-6032	51	29	is	be	AUX
fcis-6032	51	30	not	not	PART
fcis-6032	51	31	properly	properly	ADV
fcis-6032	51	32	operated	operate	VERB
fcis-6032	51	33	.	.	PUNCT
fcis-6032	52	1	at	at	ADP
fcis-6032	52	2	the	the	DET
fcis-6032	52	3	same	same	ADJ
fcis-6032	52	4	time	time	NOUN
fcis-6032	52	5	,	,	PUNCT
fcis-6032	52	6	this	this	DET
fcis-6032	52	7	approach	approach	NOUN
fcis-6032	52	8	is	be	AUX
fcis-6032	52	9	relatively	relatively	ADV
fcis-6032	52	10	difficult	difficult	ADJ
fcis-6032	52	11	to	to	PART
fcis-6032	52	12	implement	implement	VERB
fcis-6032	52	13	when	when	SCONJ
fcis-6032	52	14	faced	face	VERB
fcis-6032	52	15	with	with	ADP
fcis-6032	52	16	the	the	DET
fcis-6032	52	17	task	task	NOUN
fcis-6032	52	18	of	of	ADP
fcis-6032	52	19	repainting	repainting	NOUN
fcis-6032	52	20	,	,	PUNCT
fcis-6032	52	21	stylizing	stylize	VERB
fcis-6032	52	22	photos	photo	NOUN
fcis-6032	52	23	with	with	ADP
fcis-6032	52	24	complex	complex	ADJ
fcis-6032	52	25	patterns	pattern	NOUN
fcis-6032	52	26	or	or	CCONJ
fcis-6032	52	27	height	height	NOUN
fcis-6032	52	28	variations	variation	NOUN
fcis-6032	52	29	.	.	PUNCT
fcis-6032	53	1	2.2	2.2	NUM
fcis-6032	53	2	.	.	PUNCT
fcis-6032	54	1	feature	feature	NOUN
fcis-6032	54	2	transfer	transfer	NOUN
fcis-6032	54	3	learning	learn	VERB
fcis-6032	54	4	feature	feature	NOUN
fcis-6032	54	5	transfer	transfer	NOUN
fcis-6032	54	6	learning	learning	NOUN
fcis-6032	54	7	is	be	AUX
fcis-6032	54	8	an	an	DET
fcis-6032	54	9	effective	effective	ADJ
fcis-6032	54	10	method	method	NOUN
fcis-6032	54	11	to	to	PART
fcis-6032	54	12	train	train	VERB
fcis-6032	54	13	deep	deep	ADJ
fcis-6032	54	14	neural	neural	ADJ
fcis-6032	54	15	networks	network	NOUN
fcis-6032	54	16	,	,	PUNCT
fcis-6032	54	17	and	and	CCONJ
fcis-6032	54	18	research	research	NOUN
fcis-6032	54	19	shows	show	VERB
fcis-6032	54	20	that	that	SCONJ
fcis-6032	54	21	this	this	DET
fcis-6032	54	22	method	method	NOUN
fcis-6032	54	23	is	be	AUX
fcis-6032	54	24	effective	effective	ADJ
fcis-6032	54	25	in	in	ADP
fcis-6032	54	26	the	the	DET
fcis-6032	54	27	application	application	NOUN
fcis-6032	54	28	of	of	ADP
fcis-6032	54	29	style	style	NOUN
fcis-6032	54	30	transfer	transfer	NOUN
fcis-6032	54	31	.	.	PUNCT
fcis-6032	55	1	feature	feature	NOUN
fcis-6032	55	2	transfer	transfer	NOUN
fcis-6032	55	3	learning	learning	NOUN
fcis-6032	55	4	can	can	AUX
fcis-6032	55	5	transform	transform	VERB
fcis-6032	55	6	source	source	NOUN
fcis-6032	55	7	image	image	NOUN
fcis-6032	55	8	styles	style	NOUN
fcis-6032	55	9	into	into	ADP
fcis-6032	55	10	target	target	NOUN
fcis-6032	55	11	images	image	NOUN
fcis-6032	55	12	quickly	quickly	ADV
fcis-6032	55	13	and	and	CCONJ
fcis-6032	55	14	accurately	accurately	ADV
fcis-6032	55	15	.	.	PUNCT
fcis-6032	56	1	in	in	ADP
fcis-6032	56	2	addition	addition	NOUN
fcis-6032	56	3	,	,	PUNCT
fcis-6032	56	4	it	it	PRON
fcis-6032	56	5	tends	tend	VERB
fcis-6032	56	6	to	to	PART
fcis-6032	56	7	learn	learn	VERB
fcis-6032	56	8	the	the	DET
fcis-6032	56	9	most	most	ADV
fcis-6032	56	10	salient	salient	ADJ
fcis-6032	56	11	features	feature	NOUN
fcis-6032	56	12	of	of	ADP
fcis-6032	56	13	the	the	DET
fcis-6032	56	14	source	source	NOUN
fcis-6032	56	15	image	image	NOUN
fcis-6032	56	16	and	and	CCONJ
fcis-6032	56	17	apply	apply	VERB
fcis-6032	56	18	them	they	PRON
fcis-6032	56	19	to	to	ADP
fcis-6032	56	20	the	the	DET
fcis-6032	56	21	target	target	NOUN
fcis-6032	56	22	image	image	NOUN
fcis-6032	56	23	.	.	PUNCT
fcis-6032	57	1	the	the	DET
fcis-6032	57	2	disadvantage	disadvantage	NOUN
fcis-6032	57	3	of	of	ADP
fcis-6032	57	4	feature	feature	NOUN
fcis-6032	57	5	transfer	transfer	NOUN
fcis-6032	57	6	learning	learning	NOUN
fcis-6032	57	7	is	be	AUX
fcis-6032	57	8	that	that	SCONJ
fcis-6032	57	9	it	it	PRON
fcis-6032	57	10	is	be	AUX
fcis-6032	57	11	difficult	difficult	ADJ
fcis-6032	57	12	to	to	PART
fcis-6032	57	13	find	find	VERB
fcis-6032	57	14	the	the	DET
fcis-6032	57	15	correct	correct	ADJ
fcis-6032	57	16	configuration	configuration	NOUN
fcis-6032	57	17	or	or	CCONJ
fcis-6032	57	18	hyperparameter	hyperparameter	NOUN
fcis-6032	57	19	to	to	PART
fcis-6032	57	20	control	control	VERB
fcis-6032	57	21	feature	feature	NOUN
fcis-6032	57	22	transfer	transfer	NOUN
fcis-6032	57	23	.	.	PUNCT
fcis-6032	58	1	in	in	ADP
fcis-6032	58	2	addition	addition	NOUN
fcis-6032	58	3	,	,	PUNCT
fcis-6032	58	4	since	since	SCONJ
fcis-6032	58	5	the	the	DET
fcis-6032	58	6	target	target	NOUN
fcis-6032	58	7	image	image	NOUN
fcis-6032	58	8	may	may	AUX
fcis-6032	58	9	not	not	PART
fcis-6032	58	10	accurately	accurately	ADV
fcis-6032	58	11	transmit	transmit	VERB
fcis-6032	58	12	all	all	DET
fcis-6032	58	13	the	the	DET
fcis-6032	58	14	features	feature	NOUN
fcis-6032	58	15	of	of	ADP
fcis-6032	58	16	the	the	DET
fcis-6032	58	17	source	source	NOUN
fcis-6032	58	18	image	image	NOUN
fcis-6032	58	19	,	,	PUNCT
fcis-6032	58	20	the	the	DET
fcis-6032	58	21	effect	effect	NOUN
fcis-6032	58	22	of	of	ADP
fcis-6032	58	23	style	style	NOUN
fcis-6032	58	24	transfer	transfer	NOUN
fcis-6032	58	25	is	be	AUX
fcis-6032	58	26	unstable	unstable	ADJ
fcis-6032	58	27	.	.	PUNCT
fcis-6032	59	1	2.3	2.3	NUM
fcis-6032	59	2	.	.	PUNCT
fcis-6032	59	3	loop	loop	NOUN
fcis-6032	59	4	generation	generation	NOUN
fcis-6032	59	5	network	network	NOUN
fcis-6032	59	6	(	(	PUNCT
fcis-6032	59	7	cyclegan	cyclegan	NOUN
fcis-6032	59	8	)	)	PUNCT
fcis-6032	59	9	cyclic	cyclic	ADJ
fcis-6032	59	10	generation	generation	NOUN
fcis-6032	59	11	network	network	NOUN
fcis-6032	59	12	algorithm	algorithm	NOUN
fcis-6032	59	13	is	be	AUX
fcis-6032	59	14	one	one	NUM
fcis-6032	59	15	of	of	ADP
fcis-6032	59	16	the	the	DET
fcis-6032	59	17	most	most	ADV
fcis-6032	59	18	commonly	commonly	ADV
fcis-6032	59	19	used	use	VERB
fcis-6032	59	20	algorithms	algorithm	NOUN
fcis-6032	59	21	in	in	ADP
fcis-6032	59	22	image	image	NOUN
fcis-6032	59	23	style	style	NOUN
fcis-6032	59	24	transfer	transfer	NOUN
fcis-6032	59	25	.	.	PUNCT
fcis-6032	60	1	the	the	DET
fcis-6032	60	2	ability	ability	NOUN
fcis-6032	60	3	to	to	PART
fcis-6032	60	4	realize	realize	VERB
fcis-6032	60	5	style	style	NOUN
fcis-6032	60	6	transfer	transfer	NOUN
fcis-6032	60	7	between	between	ADP
fcis-6032	60	8	different	different	ADJ
fcis-6032	60	9	style	style	NOUN
fcis-6032	60	10	images	image	NOUN
fcis-6032	60	11	makes	make	VERB
fcis-6032	60	12	this	this	DET
fcis-6032	60	13	algorithm	algorithm	NOUN
fcis-6032	60	14	very	very	ADV
fcis-6032	60	15	useful	useful	ADJ
fcis-6032	60	16	for	for	ADP
fcis-6032	60	17	practical	practical	ADJ
fcis-6032	60	18	applications	application	NOUN
fcis-6032	60	19	.	.	PUNCT
fcis-6032	61	1	however	however	ADV
fcis-6032	61	2	,	,	PUNCT
fcis-6032	61	3	in	in	ADP
fcis-6032	61	4	order	order	NOUN
fcis-6032	61	5	to	to	PART
fcis-6032	61	6	get	get	VERB
fcis-6032	61	7	a	a	DET
fcis-6032	61	8	better	well	ADJ
fcis-6032	61	9	effect	effect	NOUN
fcis-6032	61	10	,	,	PUNCT
fcis-6032	61	11	the	the	DET
fcis-6032	61	12	cyclic	cyclic	ADJ
fcis-6032	61	13	generation	generation	NOUN
fcis-6032	61	14	network	network	NOUN
fcis-6032	61	15	needs	need	VERB
fcis-6032	61	16	to	to	PART
fcis-6032	61	17	carry	carry	VERB
fcis-6032	61	18	out	out	ADP
fcis-6032	61	19	several	several	ADJ
fcis-6032	61	20	iterations	iteration	NOUN
fcis-6032	61	21	,	,	PUNCT
fcis-6032	61	22	which	which	PRON
fcis-6032	61	23	makes	make	VERB
fcis-6032	61	24	the	the	DET
fcis-6032	61	25	algorithm	algorithm	NOUN
fcis-6032	61	26	take	take	VERB
fcis-6032	61	27	a	a	DET
fcis-6032	61	28	long	long	ADJ
fcis-6032	61	29	time	time	NOUN
fcis-6032	61	30	to	to	PART
fcis-6032	61	31	execute	execute	VERB
fcis-6032	61	32	.	.	PUNCT
fcis-6032	62	1	in	in	ADP
fcis-6032	62	2	addition	addition	NOUN
fcis-6032	62	3	,	,	PUNCT
fcis-6032	62	4	it	it	PRON
fcis-6032	62	5	may	may	AUX
fcis-6032	62	6	not	not	PART
fcis-6032	62	7	accurately	accurately	ADV
fcis-6032	62	8	capture	capture	VERB
fcis-6032	62	9	more	more	ADV
fcis-6032	62	10	subtle	subtle	ADJ
fcis-6032	62	11	features	feature	NOUN
fcis-6032	62	12	in	in	ADP
fcis-6032	62	13	the	the	DET
fcis-6032	62	14	image	image	NOUN
fcis-6032	62	15	,	,	PUNCT
fcis-6032	62	16	such	such	ADJ
fcis-6032	62	17	as	as	ADP
fcis-6032	62	18	texture	texture	NOUN
fcis-6032	62	19	or	or	CCONJ
fcis-6032	62	20	gloss	gloss	NOUN
fcis-6032	62	21	.	.	PUNCT
fcis-6032	63	1	2.4	2.4	NUM
fcis-6032	63	2	.	.	PUNCT
fcis-6032	64	1	instance	instance	NOUN
fcis-6032	64	2	normalization	normalization	NOUN
fcis-6032	64	3	the	the	DET
fcis-6032	64	4	case	case	NOUN
fcis-6032	64	5	normalization	normalization	NOUN
fcis-6032	64	6	method	method	NOUN
fcis-6032	64	7	enables	enable	VERB
fcis-6032	64	8	the	the	DET
fcis-6032	64	9	neural	neural	ADJ
fcis-6032	64	10	network	network	NOUN
fcis-6032	64	11	to	to	PART
fcis-6032	64	12	better	well	ADV
fcis-6032	64	13	learn	learn	VERB
fcis-6032	64	14	the	the	DET
fcis-6032	64	15	feature	feature	NOUN
fcis-6032	64	16	differences	difference	NOUN
fcis-6032	64	17	between	between	ADP
fcis-6032	64	18	each	each	DET
fcis-6032	64	19	image	image	NOUN
fcis-6032	64	20	.	.	PUNCT
fcis-6032	65	1	it	it	PRON
fcis-6032	65	2	also	also	ADV
fcis-6032	65	3	makes	make	VERB
fcis-6032	65	4	the	the	DET
fcis-6032	65	5	network	network	NOUN
fcis-6032	65	6	training	training	NOUN
fcis-6032	65	7	process	process	NOUN
fcis-6032	65	8	more	more	ADV
fcis-6032	65	9	stable	stable	ADJ
fcis-6032	65	10	and	and	CCONJ
fcis-6032	65	11	relatively	relatively	ADV
fcis-6032	65	12	easy	easy	ADJ
fcis-6032	65	13	to	to	PART
fcis-6032	65	14	implement	implement	VERB
fcis-6032	65	15	,	,	PUNCT
fcis-6032	65	16	but	but	CCONJ
fcis-6032	65	17	at	at	ADP
fcis-6032	65	18	the	the	DET
fcis-6032	65	19	same	same	ADJ
fcis-6032	65	20	time	time	NOUN
fcis-6032	65	21	,	,	PUNCT
fcis-6032	65	22	this	this	DET
fcis-6032	65	23	method	method	NOUN
fcis-6032	65	24	will	will	AUX
fcis-6032	65	25	also	also	ADV
fcis-6032	65	26	reduce	reduce	VERB
fcis-6032	65	27	the	the	DET
fcis-6032	65	28	effectiveness	effectiveness	NOUN
fcis-6032	65	29	of	of	ADP
fcis-6032	65	30	style	style	NOUN
fcis-6032	65	31	transfer	transfer	NOUN
fcis-6032	65	32	,	,	PUNCT
fcis-6032	65	33	because	because	SCONJ
fcis-6032	65	34	the	the	DET
fcis-6032	65	35	instance	instance	NOUN
fcis-6032	65	36	normalization	normalization	NOUN
fcis-6032	65	37	method	method	NOUN
fcis-6032	65	38	allows	allow	VERB
fcis-6032	65	39	the	the	DET
fcis-6032	65	40	network	network	NOUN
fcis-6032	65	41	to	to	PART
fcis-6032	65	42	be	be	AUX
fcis-6032	65	43	more	more	ADV
fcis-6032	65	44	affected	affect	VERB
fcis-6032	65	45	by	by	ADP
fcis-6032	65	46	the	the	DET
fcis-6032	65	47	source	source	NOUN
fcis-6032	65	48	image	image	NOUN
fcis-6032	65	49	content	content	NOUN
fcis-6032	65	50	than	than	ADP
fcis-6032	65	51	the	the	DET
fcis-6032	65	52	target	target	NOUN
fcis-6032	65	53	image	image	NOUN
fcis-6032	65	54	.	.	PUNCT
fcis-6032	66	1	2.5	2.5	NUM
fcis-6032	66	2	.	.	PUNCT
fcis-6032	67	1	texture	texture	ADJ
fcis-6032	67	2	networks	network	NOUN
fcis-6032	67	3	texture	texture	NOUN
fcis-6032	67	4	networks	network	NOUN
fcis-6032	67	5	accurately	accurately	ADV
fcis-6032	67	6	capture	capture	VERB
fcis-6032	67	7	finer	fine	ADJ
fcis-6032	67	8	details	detail	NOUN
fcis-6032	67	9	of	of	ADP
fcis-6032	67	10	an	an	DET
fcis-6032	67	11	image	image	NOUN
fcis-6032	67	12	,	,	PUNCT
fcis-6032	67	13	such	such	ADJ
fcis-6032	67	14	as	as	ADP
fcis-6032	67	15	color	color	NOUN
fcis-6032	67	16	and	and	CCONJ
fcis-6032	67	17	texture	texture	NOUN
fcis-6032	67	18	.	.	PUNCT
fcis-6032	68	1	and	and	CCONJ
fcis-6032	68	2	the	the	DET
fcis-6032	68	3	algorithm	algorithm	NOUN
fcis-6032	68	4	can	can	AUX
fcis-6032	68	5	learn	learn	VERB
fcis-6032	68	6	the	the	DET
fcis-6032	68	7	style	style	NOUN
fcis-6032	68	8	of	of	ADP
fcis-6032	68	9	the	the	DET
fcis-6032	68	10	target	target	NOUN
fcis-6032	68	11	image	image	NOUN
fcis-6032	68	12	in	in	ADP
fcis-6032	68	13	a	a	DET
fcis-6032	68	14	way	way	NOUN
fcis-6032	68	15	similar	similar	ADJ
fcis-6032	68	16	to	to	ADP
fcis-6032	68	17	that	that	PRON
fcis-6032	68	18	of	of	ADP
fcis-6032	68	19	a	a	DET
fcis-6032	68	20	human	human	ADJ
fcis-6032	68	21	artist	artist	NOUN
fcis-6032	68	22	.	.	PUNCT
fcis-6032	69	1	however	however	ADV
fcis-6032	69	2	,	,	PUNCT
fcis-6032	69	3	training	train	VERB
fcis-6032	69	4	a	a	DET
fcis-6032	69	5	mature	mature	ADJ
fcis-6032	69	6	texture	texture	ADJ
fcis-6032	69	7	network	network	NOUN
fcis-6032	69	8	model	model	NOUN
fcis-6032	69	9	requires	require	VERB
fcis-6032	69	10	a	a	DET
fcis-6032	69	11	large	large	ADJ
fcis-6032	69	12	amount	amount	NOUN
fcis-6032	69	13	of	of	ADP
fcis-6032	69	14	training	training	NOUN
fcis-6032	69	15	data	datum	NOUN
fcis-6032	69	16	,	,	PUNCT
fcis-6032	69	17	which	which	PRON
fcis-6032	69	18	leads	lead	VERB
fcis-6032	69	19	to	to	ADP
fcis-6032	69	20	the	the	DET
fcis-6032	69	21	high	high	ADJ
fcis-6032	69	22	cost	cost	NOUN
fcis-6032	69	23	of	of	ADP
fcis-6032	69	24	this	this	DET
fcis-6032	69	25	method	method	NOUN
fcis-6032	69	26	.	.	PUNCT
fcis-6032	70	1	3	3	X
fcis-6032	70	2	.	.	X
fcis-6032	70	3	analysis	analysis	NOUN
fcis-6032	70	4	of	of	ADP
fcis-6032	70	5	speech	speech	NOUN
fcis-6032	70	6	style	style	NOUN
fcis-6032	70	7	transfer	transfer	NOUN
fcis-6032	70	8	algorithm	algorithm	NOUN
fcis-6032	70	9	3.1	3.1	NUM
fcis-6032	70	10	.	.	PUNCT
fcis-6032	71	1	introduction	introduction	NOUN
fcis-6032	71	2	to	to	ADP
fcis-6032	71	3	common	common	ADJ
fcis-6032	71	4	algorithms	algorithm	NOUN
fcis-6032	71	5	widely	widely	ADV
fcis-6032	71	6	used	use	VERB
fcis-6032	71	7	audio	audio	ADJ
fcis-6032	71	8	style	style	NOUN
fcis-6032	71	9	migration	migration	NOUN
fcis-6032	71	10	algorithms	algorithm	NOUN
fcis-6032	71	11	include	include	VERB
fcis-6032	71	12	convolutional	convolutional	ADJ
fcis-6032	71	13	neural	neural	ADJ
fcis-6032	71	14	networks	network	NOUN
fcis-6032	71	15	(	(	PUNCT
fcis-6032	71	16	cnn	cnn	PROPN
fcis-6032	71	17	)	)	PUNCT
fcis-6032	71	18	,	,	PUNCT
fcis-6032	71	19	generative	generative	ADJ
fcis-6032	71	20	adversarial	adversarial	ADJ
fcis-6032	71	21	networks	network	NOUN
fcis-6032	71	22	(	(	PUNCT
fcis-6032	71	23	gan	gan	PROPN
fcis-6032	71	24	)	)	PUNCT
fcis-6032	71	25	and	and	CCONJ
fcis-6032	71	26	recursive	recursive	ADJ
fcis-6032	71	27	neural	neural	ADJ
fcis-6032	71	28	networks	network	NOUN
fcis-6032	71	29	(	(	PUNCT
fcis-6032	71	30	rnn	rnn	PROPN
fcis-6032	71	31	)	)	PUNCT
fcis-6032	71	32	.	.	PUNCT
fcis-6032	72	1	in	in	ADP
fcis-6032	72	2	addition	addition	NOUN
fcis-6032	72	3	,	,	PUNCT
fcis-6032	72	4	several	several	ADJ
fcis-6032	72	5	researchers	researcher	NOUN
fcis-6032	72	6	have	have	AUX
fcis-6032	72	7	implemented	implement	VERB
fcis-6032	72	8	audio	audio	ADJ
fcis-6032	72	9	style	style	NOUN
fcis-6032	72	10	transfer	transfer	NOUN
fcis-6032	72	11	algorithms	algorithm	NOUN
fcis-6032	72	12	for	for	ADP
fcis-6032	72	13	transfer	transfer	NOUN
fcis-6032	72	14	learning	learning	NOUN
fcis-6032	72	15	,	,	PUNCT
fcis-6032	72	16	such	such	ADJ
fcis-6032	72	17	as	as	ADP
fcis-6032	72	18	cyclegan	cyclegan	NOUN
fcis-6032	72	19	and	and	CCONJ
fcis-6032	72	20	domain	domain	VERB
fcis-6032	72	21	adversarial	adversarial	ADJ
fcis-6032	72	22	neural	neural	ADJ
fcis-6032	72	23	networks	network	NOUN
fcis-6032	72	24	(	(	PUNCT
fcis-6032	72	25	dann	dann	PROPN
fcis-6032	72	26	)	)	PUNCT
fcis-6032	72	27	.	.	PUNCT
fcis-6032	73	1	convolutional	convolutional	ADJ
fcis-6032	73	2	neural	neural	ADJ
fcis-6032	73	3	networks	network	NOUN
fcis-6032	73	4	(	(	PUNCT
fcis-6032	73	5	cnn	cnn	PROPN
fcis-6032	73	6	)	)	PUNCT
fcis-6032	73	7	can	can	AUX
fcis-6032	73	8	efficiently	efficiently	ADV
fcis-6032	73	9	extract	extract	VERB
fcis-6032	73	10	features	feature	NOUN
fcis-6032	73	11	from	from	ADP
fcis-6032	73	12	raw	raw	ADJ
fcis-6032	73	13	audio	audio	NOUN
fcis-6032	73	14	data	datum	NOUN
fcis-6032	73	15	and	and	CCONJ
fcis-6032	73	16	generate	generate	VERB
fcis-6032	73	17	high	high	ADJ
fcis-6032	73	18	-	-	PUNCT
fcis-6032	73	19	quality	quality	NOUN
fcis-6032	73	20	migrated	migrate	VERB
fcis-6032	73	21	audio	audio	NOUN
fcis-6032	73	22	.	.	PUNCT
fcis-6032	74	1	however	however	ADV
fcis-6032	74	2	,	,	PUNCT
fcis-6032	74	3	this	this	DET
fcis-6032	74	4	model	model	NOUN
fcis-6032	74	5	requires	require	VERB
fcis-6032	74	6	a	a	DET
fcis-6032	74	7	large	large	ADJ
fcis-6032	74	8	amount	amount	NOUN
fcis-6032	74	9	of	of	ADP
fcis-6032	74	10	training	training	NOUN
fcis-6032	74	11	data	datum	NOUN
fcis-6032	74	12	and	and	CCONJ
fcis-6032	74	13	is	be	AUX
fcis-6032	74	14	more	more	ADV
fcis-6032	74	15	difficult	difficult	ADJ
fcis-6032	74	16	to	to	PART
fcis-6032	74	17	train	train	VERB
fcis-6032	74	18	than	than	ADP
fcis-6032	74	19	other	other	ADJ
fcis-6032	74	20	models	model	NOUN
fcis-6032	74	21	.	.	PUNCT
fcis-6032	75	1	in	in	ADP
fcis-6032	75	2	contrast	contrast	NOUN
fcis-6032	75	3	,	,	PUNCT
fcis-6032	75	4	generative	generative	ADJ
fcis-6032	75	5	adversarial	adversarial	ADJ
fcis-6032	75	6	networks	network	NOUN
fcis-6032	75	7	(	(	PUNCT
fcis-6032	75	8	gan	gan	PROPN
fcis-6032	75	9	)	)	PUNCT
fcis-6032	75	10	can	can	AUX
fcis-6032	75	11	generate	generate	VERB
fcis-6032	75	12	high	high	ADJ
fcis-6032	75	13	-	-	PUNCT
fcis-6032	75	14	quality	quality	NOUN
fcis-6032	75	15	migrating	migrating	NOUN
fcis-6032	75	16	audio	audio	NOUN
fcis-6032	75	17	while	while	SCONJ
fcis-6032	75	18	requiring	require	VERB
fcis-6032	75	19	less	less	ADJ
fcis-6032	75	20	training	training	NOUN
fcis-6032	75	21	data	datum	NOUN
fcis-6032	75	22	than	than	ADP
fcis-6032	75	23	some	some	DET
fcis-6032	75	24	other	other	ADJ
fcis-6032	75	25	algorithms	algorithm	NOUN
fcis-6032	75	26	.	.	PUNCT
fcis-6032	76	1	however	however	ADV
fcis-6032	76	2	,	,	PUNCT
fcis-6032	76	3	gan	gan	PROPN
fcis-6032	76	4	model	model	NOUN
fcis-6032	76	5	may	may	AUX
fcis-6032	76	6	be	be	AUX
fcis-6032	76	7	difficult	difficult	ADJ
fcis-6032	76	8	to	to	PART
fcis-6032	76	9	train	train	VERB
fcis-6032	76	10	and	and	CCONJ
fcis-6032	76	11	prone	prone	ADJ
fcis-6032	76	12	to	to	ADP
fcis-6032	76	13	overfitting	overfitte	VERB
fcis-6032	76	14	.	.	PUNCT
fcis-6032	77	1	the	the	DET
fcis-6032	77	2	second	second	NOUN
fcis-6032	77	3	is	be	AUX
fcis-6032	77	4	recursive	recursive	ADJ
fcis-6032	77	5	neural	neural	ADJ
fcis-6032	77	6	network	network	NOUN
fcis-6032	77	7	(	(	PUNCT
fcis-6032	77	8	rnn	rnn	PROPN
fcis-6032	77	9	)	)	PUNCT
fcis-6032	77	10	,	,	PUNCT
fcis-6032	77	11	which	which	PRON
fcis-6032	77	12	can	can	AUX
fcis-6032	77	13	capture	capture	VERB
fcis-6032	77	14	the	the	DET
fcis-6032	77	15	long	long	ADJ
fcis-6032	77	16	-	-	PUNCT
fcis-6032	77	17	term	term	NOUN
fcis-6032	77	18	time	time	NOUN
fcis-6032	77	19	dependence	dependence	NOUN
fcis-6032	77	20	of	of	ADP
fcis-6032	77	21	audio	audio	ADJ
fcis-6032	77	22	signals	signal	NOUN
fcis-6032	77	23	that	that	PRON
fcis-6032	77	24	are	be	AUX
fcis-6032	77	25	difficult	difficult	ADJ
fcis-6032	77	26	to	to	PART
fcis-6032	77	27	be	be	AUX
fcis-6032	77	28	captured	capture	VERB
fcis-6032	77	29	by	by	ADP
fcis-6032	77	30	other	other	ADJ
fcis-6032	77	31	models	model	NOUN
fcis-6032	77	32	.	.	PUNCT
fcis-6032	78	1	its	its	PRON
fcis-6032	78	2	disadvantage	disadvantage	NOUN
fcis-6032	78	3	is	be	AUX
fcis-6032	78	4	that	that	SCONJ
fcis-6032	78	5	the	the	DET
fcis-6032	78	6	algorithm	algorithm	NOUN
fcis-6032	78	7	is	be	AUX
fcis-6032	78	8	relatively	relatively	ADV
fcis-6032	78	9	complex	complex	ADJ
fcis-6032	78	10	,	,	PUNCT
fcis-6032	78	11	which	which	PRON
fcis-6032	78	12	makes	make	VERB
fcis-6032	78	13	the	the	DET
fcis-6032	78	14	model	model	NOUN
fcis-6032	78	15	training	training	NOUN
fcis-6032	78	16	difficult	difficult	ADJ
fcis-6032	78	17	.	.	PUNCT
fcis-6032	79	1	cyclegan	cyclegan	PROPN
fcis-6032	79	2	is	be	AUX
fcis-6032	79	3	relatively	relatively	ADV
fcis-6032	79	4	easy	easy	ADJ
fcis-6032	79	5	to	to	PART
fcis-6032	79	6	train	train	VERB
fcis-6032	79	7	and	and	CCONJ
fcis-6032	79	8	can	can	AUX
fcis-6032	79	9	be	be	AUX
fcis-6032	79	10	used	use	VERB
fcis-6032	79	11	to	to	PART
fcis-6032	79	12	bridge	bridge	VERB
fcis-6032	79	13	the	the	DET
fcis-6032	79	14	gap	gap	NOUN
fcis-6032	79	15	between	between	ADP
fcis-6032	79	16	two	two	NUM
fcis-6032	79	17	different	different	ADJ
fcis-6032	79	18	audio	audio	ADJ
fcis-6032	79	19	domains	domain	NOUN
fcis-6032	79	20	,	,	PUNCT
fcis-6032	79	21	but	but	CCONJ
fcis-6032	79	22	if	if	SCONJ
fcis-6032	79	23	the	the	DET
fcis-6032	79	24	domains	domain	NOUN
fcis-6032	79	25	are	be	AUX
fcis-6032	79	26	too	too	ADV
fcis-6032	79	27	different	different	ADJ
fcis-6032	79	28	,	,	PUNCT
fcis-6032	79	29	cyclegan	cyclegan	PROPN
fcis-6032	79	30	will	will	AUX
fcis-6032	79	31	produce	produce	VERB
fcis-6032	79	32	distorted	distorted	ADJ
fcis-6032	79	33	audio	audio	NOUN
fcis-6032	79	34	,	,	PUNCT
fcis-6032	79	35	and	and	CCONJ
fcis-6032	79	36	the	the	DET
fcis-6032	79	37	migrated	migrate	VERB
fcis-6032	79	38	audio	audio	NOUN
fcis-6032	79	39	may	may	AUX
fcis-6032	79	40	not	not	PART
fcis-6032	79	41	adequately	adequately	ADV
fcis-6032	79	42	reflect	reflect	VERB
fcis-6032	79	43	the	the	DET
fcis-6032	79	44	content	content	NOUN
fcis-6032	79	45	of	of	ADP
fcis-6032	79	46	the	the	DET
fcis-6032	79	47	original	original	ADJ
fcis-6032	79	48	signal	signal	NOUN
fcis-6032	79	49	.	.	PUNCT
fcis-6032	80	1	domain	domain	NOUN
fcis-6032	80	2	adversarial	adversarial	ADJ
fcis-6032	80	3	neural	neural	ADJ
fcis-6032	80	4	networks	network	NOUN
fcis-6032	80	5	(	(	PUNCT
fcis-6032	80	6	dann	dann	PROPN
fcis-6032	80	7	)	)	PUNCT
fcis-6032	80	8	can	can	AUX
fcis-6032	80	9	be	be	AUX
fcis-6032	80	10	very	very	ADV
fcis-6032	80	11	effective	effective	ADJ
fcis-6032	80	12	in	in	ADP
fcis-6032	80	13	adjusting	adjust	VERB
fcis-6032	80	14	the	the	DET
fcis-6032	80	15	content	content	NOUN
fcis-6032	80	16	of	of	ADP
fcis-6032	80	17	an	an	DET
fcis-6032	80	18	audio	audio	ADJ
fcis-6032	80	19	signal	signal	NOUN
fcis-6032	80	20	while	while	SCONJ
fcis-6032	80	21	ensuring	ensure	VERB
fcis-6032	80	22	its	its	PRON
fcis-6032	80	23	stylistic	stylistic	ADJ
fcis-6032	80	24	transfer	transfer	NOUN
fcis-6032	80	25	.	.	PUNCT
fcis-6032	81	1	however	however	ADV
fcis-6032	81	2	,	,	PUNCT
fcis-6032	81	3	dann	dann	PROPN
fcis-6032	81	4	also	also	ADV
fcis-6032	81	5	requires	require	VERB
fcis-6032	81	6	a	a	DET
fcis-6032	81	7	large	large	ADJ
fcis-6032	81	8	amount	amount	NOUN
fcis-6032	81	9	of	of	ADP
fcis-6032	81	10	training	training	NOUN
fcis-6032	81	11	data	datum	NOUN
fcis-6032	81	12	and	and	CCONJ
fcis-6032	81	13	requires	require	VERB
fcis-6032	81	14	a	a	DET
fcis-6032	81	15	large	large	ADJ
fcis-6032	81	16	amount	amount	NOUN
fcis-6032	81	17	of	of	ADP
fcis-6032	81	18	calculation	calculation	NOUN
fcis-6032	81	19	.	.	PUNCT
fcis-6032	82	1	96	96	NUM
fcis-6032	82	2	3.2	3.2	NUM
fcis-6032	82	3	.	.	PUNCT
fcis-6032	83	1	gan	gin	VERB
fcis-6032	83	2	-	-	PUNCT
fcis-6032	83	3	based	base	VERB
fcis-6032	83	4	voice	voice	NOUN
fcis-6032	83	5	style	style	NOUN
fcis-6032	83	6	migration	migration	NOUN
fcis-6032	83	7	compared	compare	VERB
fcis-6032	83	8	with	with	ADP
fcis-6032	83	9	the	the	DET
fcis-6032	83	10	various	various	ADJ
fcis-6032	83	11	speech	speech	NOUN
fcis-6032	83	12	style	style	NOUN
fcis-6032	83	13	transfer	transfer	NOUN
fcis-6032	83	14	models	model	NOUN
fcis-6032	83	15	introduced	introduce	VERB
fcis-6032	83	16	above	above	ADV
fcis-6032	83	17	,	,	PUNCT
fcis-6032	83	18	the	the	DET
fcis-6032	83	19	speech	speech	NOUN
fcis-6032	83	20	style	style	NOUN
fcis-6032	83	21	transfer	transfer	NOUN
fcis-6032	83	22	technology	technology	NOUN
fcis-6032	83	23	based	base	VERB
fcis-6032	83	24	on	on	ADP
fcis-6032	83	25	generative	generative	ADJ
fcis-6032	83	26	adversarial	adversarial	ADJ
fcis-6032	83	27	networks	network	NOUN
fcis-6032	83	28	(	(	PUNCT
fcis-6032	83	29	gan	gan	PROPN
fcis-6032	83	30	)	)	PUNCT
fcis-6032	83	31	is	be	AUX
fcis-6032	83	32	characterized	characterize	VERB
fcis-6032	83	33	by	by	ADP
fcis-6032	83	34	a	a	DET
fcis-6032	83	35	small	small	ADJ
fcis-6032	83	36	amount	amount	NOUN
fcis-6032	83	37	of	of	ADP
fcis-6032	83	38	training	training	NOUN
fcis-6032	83	39	data	datum	NOUN
fcis-6032	83	40	and	and	CCONJ
fcis-6032	83	41	low	low	ADJ
fcis-6032	83	42	difficulty	difficulty	NOUN
fcis-6032	83	43	.	.	PUNCT
fcis-6032	84	1	at	at	ADP
fcis-6032	84	2	the	the	DET
fcis-6032	84	3	same	same	ADJ
fcis-6032	84	4	time	time	NOUN
fcis-6032	84	5	,	,	PUNCT
fcis-6032	84	6	the	the	DET
fcis-6032	84	7	quality	quality	NOUN
fcis-6032	84	8	of	of	ADP
fcis-6032	84	9	the	the	DET
fcis-6032	84	10	generated	generate	VERB
fcis-6032	84	11	speech	speech	NOUN
fcis-6032	84	12	is	be	AUX
fcis-6032	84	13	high	high	ADJ
fcis-6032	84	14	.	.	PUNCT
fcis-6032	85	1	this	this	DET
fcis-6032	85	2	model	model	NOUN
fcis-6032	85	3	was	be	AUX
fcis-6032	85	4	proposed	propose	VERB
fcis-6032	85	5	by	by	ADP
fcis-6032	85	6	goodfellow	goodfellow	PROPN
fcis-6032	85	7	et	et	PROPN
fcis-6032	85	8	al	al	PROPN
fcis-6032	85	9	in	in	ADP
fcis-6032	85	10	2014	2014	NUM
fcis-6032	85	11	.	.	PUNCT
fcis-6032	86	1	the	the	DET
fcis-6032	86	2	network	network	NOUN
fcis-6032	86	3	consists	consist	VERB
fcis-6032	86	4	of	of	ADP
fcis-6032	86	5	two	two	NUM
fcis-6032	86	6	parts	part	NOUN
fcis-6032	86	7	,	,	PUNCT
fcis-6032	86	8	generator	generator	NOUN
fcis-6032	86	9	and	and	CCONJ
fcis-6032	86	10	discriminator	discriminator	NOUN
fcis-6032	86	11	,	,	PUNCT
fcis-6032	86	12	and	and	CCONJ
fcis-6032	86	13	learns	learn	VERB
fcis-6032	86	14	to	to	PART
fcis-6032	86	15	generate	generate	VERB
fcis-6032	86	16	the	the	DET
fcis-6032	86	17	model	model	NOUN
fcis-6032	86	18	through	through	ADP
fcis-6032	86	19	the	the	DET
fcis-6032	86	20	way	way	NOUN
fcis-6032	86	21	of	of	ADP
fcis-6032	86	22	antagonistic	antagonistic	ADJ
fcis-6032	86	23	game	game	NOUN
fcis-6032	86	24	.	.	PUNCT
fcis-6032	87	1	the	the	DET
fcis-6032	87	2	implementation	implementation	NOUN
fcis-6032	87	3	process	process	NOUN
fcis-6032	87	4	of	of	ADP
fcis-6032	87	5	gan	gan	PROPN
fcis-6032	87	6	model	model	NOUN
fcis-6032	87	7	in	in	ADP
fcis-6032	87	8	voice	voice	NOUN
fcis-6032	87	9	style	style	NOUN
fcis-6032	87	10	transfer	transfer	NOUN
fcis-6032	87	11	is	be	AUX
fcis-6032	87	12	as	as	SCONJ
fcis-6032	87	13	follows	follow	VERB
fcis-6032	87	14	:	:	PUNCT
fcis-6032	87	15	figure	figure	NOUN
fcis-6032	87	16	1	1	NUM
fcis-6032	87	17	.	.	PUNCT
fcis-6032	87	18	overall	overall	ADJ
fcis-6032	87	19	block	block	NOUN
fcis-6032	87	20	diagram	diagram	NOUN
fcis-6032	87	21	of	of	ADP
fcis-6032	87	22	voice	voice	NOUN
fcis-6032	87	23	style	style	NOUN
fcis-6032	87	24	transfer	transfer	NOUN
fcis-6032	87	25	based	base	VERB
fcis-6032	87	26	on	on	ADP
fcis-6032	87	27	gan	gan	PROPN
fcis-6032	87	28	gan	gan	PROPN
fcis-6032	87	29	-	-	PUNCT
fcis-6032	87	30	based	base	VERB
fcis-6032	87	31	voice	voice	NOUN
fcis-6032	87	32	style	style	NOUN
fcis-6032	87	33	transfer	transfer	NOUN
fcis-6032	87	34	is	be	AUX
fcis-6032	87	35	a	a	DET
fcis-6032	87	36	deep	deep	ADJ
fcis-6032	87	37	learning	learning	NOUN
fcis-6032	87	38	technique	technique	NOUN
fcis-6032	87	39	that	that	PRON
fcis-6032	87	40	trains	train	VERB
fcis-6032	87	41	a	a	DET
fcis-6032	87	42	generative	generative	ADJ
fcis-6032	87	43	adversarial	adversarial	ADJ
fcis-6032	87	44	network	network	NOUN
fcis-6032	87	45	(	(	PUNCT
fcis-6032	87	46	gan	gan	PROPN
fcis-6032	87	47	)	)	PUNCT
fcis-6032	87	48	to	to	PART
fcis-6032	87	49	learn	learn	VERB
fcis-6032	87	50	each	each	DET
fcis-6032	87	51	speaker	speaker	NOUN
fcis-6032	87	52	's	's	PART
fcis-6032	87	53	vocal	vocal	ADJ
fcis-6032	87	54	characteristics	characteristic	NOUN
fcis-6032	87	55	,	,	PUNCT
fcis-6032	87	56	including	include	VERB
fcis-6032	87	57	intonation	intonation	NOUN
fcis-6032	87	58	,	,	PUNCT
fcis-6032	87	59	pitch	pitch	NOUN
fcis-6032	87	60	,	,	PUNCT
fcis-6032	87	61	pitch	pitch	NOUN
fcis-6032	87	62	,	,	PUNCT
fcis-6032	87	63	and	and	CCONJ
fcis-6032	87	64	other	other	ADJ
fcis-6032	87	65	vocal	vocal	ADJ
fcis-6032	87	66	characteristics	characteristic	NOUN
fcis-6032	87	67	,	,	PUNCT
fcis-6032	87	68	including	include	VERB
fcis-6032	87	69	the	the	DET
fcis-6032	87	70	following	following	NOUN
fcis-6032	87	71	:	:	PUNCT
fcis-6032	87	72	first	first	ADV
fcis-6032	87	73	,	,	PUNCT
fcis-6032	87	74	the	the	DET
fcis-6032	87	75	gan	gan	NOUN
fcis-6032	87	76	-	-	PUNCT
fcis-6032	87	77	based	base	VERB
fcis-6032	87	78	voice	voice	NOUN
fcis-6032	87	79	style	style	NOUN
fcis-6032	87	80	transfer	transfer	NOUN
fcis-6032	87	81	model	model	NOUN
fcis-6032	87	82	is	be	AUX
fcis-6032	87	83	trained	train	VERB
fcis-6032	87	84	by	by	ADP
fcis-6032	87	85	learning	learn	VERB
fcis-6032	87	86	spoken	speak	VERB
fcis-6032	87	87	audio	audio	NOUN
fcis-6032	87	88	in	in	ADP
fcis-6032	87	89	two	two	NUM
fcis-6032	87	90	different	different	ADJ
fcis-6032	87	91	domains	domain	NOUN
fcis-6032	87	92	,	,	PUNCT
fcis-6032	87	93	such	such	ADJ
fcis-6032	87	94	as	as	ADP
fcis-6032	87	95	the	the	DET
fcis-6032	87	96	mapping	mapping	NOUN
fcis-6032	87	97	between	between	ADP
fcis-6032	87	98	male	male	NOUN
fcis-6032	87	99	to	to	ADP
fcis-6032	87	100	female	female	ADJ
fcis-6032	87	101	or	or	CCONJ
fcis-6032	87	102	english	english	ADJ
fcis-6032	87	103	to	to	ADP
fcis-6032	87	104	chinese	chinese	PROPN
fcis-6032	87	105	.	.	PUNCT
fcis-6032	88	1	second	second	ADV
fcis-6032	88	2	,	,	PUNCT
fcis-6032	88	3	the	the	DET
fcis-6032	88	4	model	model	NOUN
fcis-6032	88	5	utilizes	utilize	VERB
fcis-6032	88	6	two	two	NUM
fcis-6032	88	7	neural	neural	ADJ
fcis-6032	88	8	networks	network	NOUN
fcis-6032	88	9	to	to	PART
fcis-6032	88	10	generate	generate	VERB
fcis-6032	88	11	the	the	DET
fcis-6032	88	12	converted	converted	ADJ
fcis-6032	88	13	speech	speech	NOUN
fcis-6032	88	14	:	:	PUNCT
fcis-6032	88	15	a	a	DET
fcis-6032	88	16	network	network	NOUN
fcis-6032	88	17	of	of	ADP
fcis-6032	88	18	generators	generator	NOUN
fcis-6032	88	19	to	to	PART
fcis-6032	88	20	generate	generate	VERB
fcis-6032	88	21	the	the	DET
fcis-6032	88	22	converted	converted	ADJ
fcis-6032	88	23	audio	audio	NOUN
fcis-6032	88	24	sample	sample	NOUN
fcis-6032	88	25	,	,	PUNCT
fcis-6032	88	26	and	and	CCONJ
fcis-6032	88	27	a	a	DET
fcis-6032	88	28	network	network	NOUN
fcis-6032	88	29	of	of	ADP
fcis-6032	88	30	discriminators	discriminator	NOUN
fcis-6032	88	31	to	to	PART
fcis-6032	88	32	classify	classify	VERB
fcis-6032	88	33	whether	whether	SCONJ
fcis-6032	88	34	the	the	DET
fcis-6032	88	35	audio	audio	ADJ
fcis-6032	88	36	sample	sample	NOUN
fcis-6032	88	37	is	be	AUX
fcis-6032	88	38	real	real	ADJ
fcis-6032	88	39	or	or	CCONJ
fcis-6032	88	40	generated	generate	VERB
fcis-6032	88	41	.	.	PUNCT
fcis-6032	89	1	third	third	ADV
fcis-6032	89	2	,	,	PUNCT
fcis-6032	89	3	the	the	DET
fcis-6032	89	4	model	model	NOUN
fcis-6032	89	5	is	be	AUX
fcis-6032	89	6	trained	train	VERB
fcis-6032	89	7	in	in	ADP
fcis-6032	89	8	an	an	DET
fcis-6032	89	9	adversarial	adversarial	ADJ
fcis-6032	89	10	fashion	fashion	NOUN
fcis-6032	89	11	,	,	PUNCT
fcis-6032	89	12	where	where	SCONJ
fcis-6032	89	13	generators	generator	NOUN
fcis-6032	89	14	are	be	AUX
fcis-6032	89	15	trained	train	VERB
fcis-6032	89	16	to	to	PART
fcis-6032	89	17	test	test	VERB
fcis-6032	89	18	discriminators	discriminator	NOUN
fcis-6032	89	19	and	and	CCONJ
fcis-6032	89	20	discriminators	discriminator	NOUN
fcis-6032	89	21	are	be	AUX
fcis-6032	89	22	trained	train	VERB
fcis-6032	89	23	to	to	PART
fcis-6032	89	24	recognize	recognize	VERB
fcis-6032	89	25	real	real	ADJ
fcis-6032	89	26	samples	sample	NOUN
fcis-6032	89	27	.	.	PUNCT
fcis-6032	90	1	fourth	fourth	ADJ
fcis-6032	90	2	,	,	PUNCT
fcis-6032	90	3	the	the	DET
fcis-6032	90	4	model	model	NOUN
fcis-6032	90	5	is	be	AUX
fcis-6032	90	6	unsupervised	unsupervised	ADJ
fcis-6032	90	7	,	,	PUNCT
fcis-6032	90	8	that	that	ADV
fcis-6032	90	9	is	is	ADV
fcis-6032	90	10	,	,	PUNCT
fcis-6032	90	11	it	it	PRON
fcis-6032	90	12	does	do	AUX
fcis-6032	90	13	not	not	PART
fcis-6032	90	14	require	require	VERB
fcis-6032	90	15	any	any	DET
fcis-6032	90	16	training	training	NOUN
fcis-6032	90	17	on	on	ADP
fcis-6032	90	18	parallel	parallel	ADJ
fcis-6032	90	19	data	datum	NOUN
fcis-6032	90	20	.	.	PUNCT
fcis-6032	91	1	fifth	fifth	ADJ
fcis-6032	91	2	,	,	PUNCT
fcis-6032	91	3	models	model	NOUN
fcis-6032	91	4	can	can	AUX
fcis-6032	91	5	learn	learn	VERB
fcis-6032	91	6	to	to	PART
fcis-6032	91	7	transform	transform	VERB
fcis-6032	91	8	audio	audio	NOUN
fcis-6032	91	9	to	to	ADP
fcis-6032	91	10	a	a	DET
fcis-6032	91	11	target	target	NOUN
fcis-6032	91	12	style	style	NOUN
fcis-6032	91	13	without	without	ADP
fcis-6032	91	14	any	any	DET
fcis-6032	91	15	explicit	explicit	ADJ
fcis-6032	91	16	comments	comment	NOUN
fcis-6032	91	17	about	about	ADP
fcis-6032	91	18	the	the	DET
fcis-6032	91	19	style	style	NOUN
fcis-6032	91	20	,	,	PUNCT
fcis-6032	91	21	such	such	ADJ
fcis-6032	91	22	as	as	ADP
fcis-6032	91	23	gender	gender	NOUN
fcis-6032	91	24	or	or	CCONJ
fcis-6032	91	25	language	language	NOUN
fcis-6032	91	26	.	.	PUNCT
fcis-6032	92	1	4	4	X
fcis-6032	92	2	.	.	X
fcis-6032	92	3	conclusion	conclusion	NOUN
fcis-6032	92	4	at	at	ADP
fcis-6032	92	5	present	present	ADJ
fcis-6032	92	6	,	,	PUNCT
fcis-6032	92	7	there	there	PRON
fcis-6032	92	8	is	be	VERB
fcis-6032	92	9	a	a	DET
fcis-6032	92	10	lack	lack	NOUN
fcis-6032	92	11	of	of	ADP
fcis-6032	92	12	reliable	reliable	ADJ
fcis-6032	92	13	data	datum	NOUN
fcis-6032	92	14	set	set	VERB
fcis-6032	92	15	to	to	PART
fcis-6032	92	16	train	train	VERB
fcis-6032	92	17	the	the	DET
fcis-6032	92	18	algorithm	algorithm	NOUN
fcis-6032	92	19	for	for	ADP
fcis-6032	92	20	voice	voice	NOUN
fcis-6032	92	21	style	style	NOUN
fcis-6032	92	22	transfer	transfer	NOUN
fcis-6032	92	23	,	,	PUNCT
fcis-6032	92	24	and	and	CCONJ
fcis-6032	92	25	various	various	ADJ
fcis-6032	92	26	algorithms	algorithm	NOUN
fcis-6032	92	27	have	have	VERB
fcis-6032	92	28	their	their	PRON
fcis-6032	92	29	own	own	ADJ
fcis-6032	92	30	advantages	advantage	NOUN
fcis-6032	92	31	and	and	CCONJ
fcis-6032	92	32	disadvantages	disadvantage	NOUN
fcis-6032	92	33	,	,	PUNCT
fcis-6032	92	34	so	so	CCONJ
fcis-6032	92	35	the	the	DET
fcis-6032	92	36	implementation	implementation	NOUN
fcis-6032	92	37	effect	effect	NOUN
fcis-6032	92	38	is	be	AUX
fcis-6032	92	39	very	very	ADV
fcis-6032	92	40	different	different	ADJ
fcis-6032	92	41	.	.	PUNCT
fcis-6032	93	1	some	some	DET
fcis-6032	93	2	algorithms	algorithm	NOUN
fcis-6032	93	3	are	be	AUX
fcis-6032	93	4	difficult	difficult	ADJ
fcis-6032	93	5	to	to	PART
fcis-6032	93	6	model	model	VERB
fcis-6032	93	7	,	,	PUNCT
fcis-6032	93	8	the	the	DET
fcis-6032	93	9	computer	computer	NOUN
fcis-6032	93	10	resources	resource	NOUN
fcis-6032	93	11	are	be	AUX
fcis-6032	93	12	expensive	expensive	ADJ
fcis-6032	93	13	,	,	PUNCT
fcis-6032	93	14	and	and	CCONJ
fcis-6032	93	15	the	the	DET
fcis-6032	93	16	traditional	traditional	ADJ
fcis-6032	93	17	transfer	transfer	NOUN
fcis-6032	93	18	methods	method	NOUN
fcis-6032	93	19	have	have	VERB
fcis-6032	93	20	sub	sub	ADJ
fcis-6032	93	21	-	-	ADJ
fcis-6032	93	22	optimal	optimal	ADJ
fcis-6032	93	23	speech	speech	NOUN
fcis-6032	93	24	perception	perception	NOUN
fcis-6032	93	25	,	,	PUNCT
fcis-6032	93	26	or	or	CCONJ
fcis-6032	93	27	environmental	environmental	ADJ
fcis-6032	93	28	interference	interference	NOUN
fcis-6032	93	29	factors	factor	NOUN
fcis-6032	93	30	lead	lead	VERB
fcis-6032	93	31	to	to	ADP
fcis-6032	93	32	audio	audio	ADJ
fcis-6032	93	33	distortion	distortion	NOUN
fcis-6032	93	34	.	.	PUNCT
fcis-6032	94	1	in	in	ADP
fcis-6032	94	2	order	order	NOUN
fcis-6032	94	3	to	to	PART
fcis-6032	94	4	improve	improve	VERB
fcis-6032	94	5	the	the	DET
fcis-6032	94	6	quality	quality	NOUN
fcis-6032	94	7	of	of	ADP
fcis-6032	94	8	synthesized	synthesize	VERB
fcis-6032	94	9	audio	audio	NOUN
fcis-6032	94	10	,	,	PUNCT
fcis-6032	94	11	voice	voice	NOUN
fcis-6032	94	12	style	style	NOUN
fcis-6032	94	13	transfer	transfer	NOUN
fcis-6032	94	14	technology	technology	NOUN
fcis-6032	94	15	needs	need	VERB
fcis-6032	94	16	to	to	PART
fcis-6032	94	17	continue	continue	VERB
fcis-6032	94	18	to	to	PART
fcis-6032	94	19	develop	develop	VERB
fcis-6032	94	20	in	in	ADP
fcis-6032	94	21	four	four	NUM
fcis-6032	94	22	aspects	aspect	NOUN
fcis-6032	94	23	:	:	PUNCT
fcis-6032	94	24	first	first	ADV
fcis-6032	94	25	,	,	PUNCT
fcis-6032	94	26	prosody	prosody	NOUN
fcis-6032	94	27	modeling	modeling	NOUN
fcis-6032	94	28	,	,	PUNCT
fcis-6032	94	29	which	which	PRON
fcis-6032	94	30	is	be	AUX
fcis-6032	94	31	essential	essential	ADJ
fcis-6032	94	32	for	for	ADP
fcis-6032	94	33	successful	successful	ADJ
fcis-6032	94	34	speech	speech	NOUN
fcis-6032	94	35	style	style	NOUN
fcis-6032	94	36	conversion	conversion	NOUN
fcis-6032	94	37	.	.	PUNCT
fcis-6032	95	1	this	this	PRON
fcis-6032	95	2	involves	involves	AUX
fcis-6032	95	3	automatically	automatically	ADV
fcis-6032	95	4	learning	learn	VERB
fcis-6032	95	5	style	style	NOUN
fcis-6032	95	6	-	-	PUNCT
fcis-6032	95	7	specific	specific	ADJ
fcis-6032	95	8	representations	representation	NOUN
fcis-6032	95	9	of	of	ADP
fcis-6032	95	10	prosody	prosody	NOUN
fcis-6032	95	11	from	from	ADP
fcis-6032	95	12	training	train	VERB
fcis-6032	95	13	data	datum	NOUN
fcis-6032	95	14	so	so	SCONJ
fcis-6032	95	15	that	that	SCONJ
fcis-6032	95	16	the	the	DET
fcis-6032	95	17	same	same	ADJ
fcis-6032	95	18	synthetic	synthetic	ADJ
fcis-6032	95	19	model	model	NOUN
fcis-6032	95	20	can	can	AUX
fcis-6032	95	21	be	be	AUX
fcis-6032	95	22	applied	apply	VERB
fcis-6032	95	23	to	to	ADP
fcis-6032	95	24	different	different	ADJ
fcis-6032	95	25	styles	style	NOUN
fcis-6032	95	26	.	.	PUNCT
fcis-6032	96	1	second	second	ADJ
fcis-6032	96	2	,	,	PUNCT
fcis-6032	96	3	data	datum	NOUN
fcis-6032	96	4	quality	quality	NOUN
fcis-6032	96	5	,	,	PUNCT
fcis-6032	96	6	in	in	ADP
fcis-6032	96	7	order	order	NOUN
fcis-6032	96	8	to	to	PART
fcis-6032	96	9	produce	produce	VERB
fcis-6032	96	10	high	high	ADJ
fcis-6032	96	11	-	-	PUNCT
fcis-6032	96	12	quality	quality	NOUN
fcis-6032	96	13	speech	speech	NOUN
fcis-6032	96	14	synthesis	synthesis	NOUN
fcis-6032	96	15	models	model	NOUN
fcis-6032	96	16	,	,	PUNCT
fcis-6032	96	17	the	the	DET
fcis-6032	96	18	training	training	NOUN
fcis-6032	96	19	data	datum	NOUN
fcis-6032	96	20	must	must	AUX
fcis-6032	96	21	be	be	AUX
fcis-6032	96	22	of	of	ADP
fcis-6032	96	23	high	high	ADJ
fcis-6032	96	24	quality	quality	NOUN
fcis-6032	96	25	and	and	CCONJ
fcis-6032	96	26	large	large	ADJ
fcis-6032	96	27	enough	enough	ADV
fcis-6032	96	28	to	to	PART
fcis-6032	96	29	capture	capture	VERB
fcis-6032	96	30	all	all	DET
fcis-6032	96	31	the	the	DET
fcis-6032	96	32	nuances	nuance	NOUN
fcis-6032	96	33	of	of	ADP
fcis-6032	96	34	the	the	DET
fcis-6032	96	35	style	style	NOUN
fcis-6032	96	36	.	.	PUNCT
fcis-6032	97	1	this	this	PRON
fcis-6032	97	2	can	can	AUX
fcis-6032	97	3	include	include	VERB
fcis-6032	97	4	the	the	DET
fcis-6032	97	5	use	use	NOUN
fcis-6032	97	6	of	of	ADP
fcis-6032	97	7	high	high	ADJ
fcis-6032	97	8	-	-	PUNCT
fcis-6032	97	9	quality	quality	NOUN
fcis-6032	97	10	recording	recording	NOUN
fcis-6032	97	11	equipment	equipment	NOUN
fcis-6032	97	12	and	and	CCONJ
fcis-6032	97	13	the	the	DET
fcis-6032	97	14	use	use	NOUN
fcis-6032	97	15	of	of	ADP
fcis-6032	97	16	large	large	ADJ
fcis-6032	97	17	data	datum	NOUN
fcis-6032	97	18	sets	set	NOUN
fcis-6032	97	19	in	in	ADP
fcis-6032	97	20	a	a	DET
fcis-6032	97	21	variety	variety	NOUN
fcis-6032	97	22	of	of	ADP
fcis-6032	97	23	styles	style	NOUN
fcis-6032	97	24	.	.	PUNCT
fcis-6032	98	1	third	third	ADJ
fcis-6032	98	2	,	,	PUNCT
fcis-6032	98	3	expressive	expressive	ADJ
fcis-6032	98	4	speech	speech	NOUN
fcis-6032	98	5	synthesis	synthesis	NOUN
fcis-6032	98	6	,	,	PUNCT
fcis-6032	98	7	adding	add	VERB
fcis-6032	98	8	expressiveness	expressiveness	NOUN
fcis-6032	98	9	to	to	ADP
fcis-6032	98	10	synthesized	synthesize	VERB
fcis-6032	98	11	speech	speech	NOUN
fcis-6032	98	12	is	be	AUX
fcis-6032	98	13	also	also	ADV
fcis-6032	98	14	important	important	ADJ
fcis-6032	98	15	because	because	SCONJ
fcis-6032	98	16	it	it	PRON
fcis-6032	98	17	helps	help	VERB
fcis-6032	98	18	to	to	PART
fcis-6032	98	19	make	make	VERB
fcis-6032	98	20	synthesized	synthesize	VERB
fcis-6032	98	21	speech	speech	NOUN
fcis-6032	98	22	more	more	ADV
fcis-6032	98	23	natural	natural	ADJ
fcis-6032	98	24	.	.	PUNCT
fcis-6032	99	1	this	this	PRON
fcis-6032	99	2	can	can	AUX
fcis-6032	99	3	include	include	VERB
fcis-6032	99	4	incorporating	incorporate	VERB
fcis-6032	99	5	features	feature	NOUN
fcis-6032	99	6	such	such	ADJ
fcis-6032	99	7	as	as	ADP
fcis-6032	99	8	intonation	intonation	NOUN
fcis-6032	99	9	,	,	PUNCT
fcis-6032	99	10	pauses	pause	NOUN
fcis-6032	99	11	,	,	PUNCT
fcis-6032	99	12	and	and	CCONJ
fcis-6032	99	13	rhythm	rhythm	NOUN
fcis-6032	99	14	into	into	ADP
fcis-6032	99	15	the	the	DET
fcis-6032	99	16	composite	composite	ADJ
fcis-6032	99	17	model	model	NOUN
fcis-6032	99	18	.	.	PUNCT
fcis-6032	100	1	fourth	fourth	ADJ
fcis-6032	100	2	,	,	PUNCT
fcis-6032	100	3	unsupervised	unsupervised	ADJ
fcis-6032	100	4	style	style	NOUN
fcis-6032	100	5	transformation	transformation	NOUN
fcis-6032	100	6	.	.	PUNCT
fcis-6032	101	1	unsupervised	unsupervised	ADJ
fcis-6032	101	2	style	style	NOUN
fcis-6032	101	3	transformation	transformation	NOUN
fcis-6032	101	4	is	be	AUX
fcis-6032	101	5	a	a	DET
fcis-6032	101	6	promising	promising	ADJ
fcis-6032	101	7	technique	technique	NOUN
fcis-6032	101	8	for	for	ADP
fcis-6032	101	9	producing	produce	VERB
fcis-6032	101	10	highquality	highquality	NOUN
fcis-6032	101	11	speech	speech	NOUN
fcis-6032	101	12	synthesis	synthesis	NOUN
fcis-6032	101	13	.	.	PUNCT
fcis-6032	102	1	this	this	DET
fcis-6032	102	2	technique	technique	NOUN
fcis-6032	102	3	uses	use	VERB
fcis-6032	102	4	unsupervised	unsupervised	ADJ
fcis-6032	102	5	learning	learn	VERB
fcis-6032	102	6	algorithms	algorithm	NOUN
fcis-6032	102	7	to	to	PART
fcis-6032	102	8	learn	learn	VERB
fcis-6032	102	9	style	style	NOUN
fcis-6032	102	10	-	-	PUNCT
fcis-6032	102	11	independent	independent	ADJ
fcis-6032	102	12	speech	speech	NOUN
fcis-6032	102	13	representations	representation	NOUN
fcis-6032	102	14	,	,	PUNCT
fcis-6032	102	15	allowing	allow	VERB
fcis-6032	102	16	the	the	DET
fcis-6032	102	17	same	same	ADJ
fcis-6032	102	18	model	model	NOUN
fcis-6032	102	19	to	to	PART
fcis-6032	102	20	be	be	AUX
fcis-6032	102	21	used	use	VERB
fcis-6032	102	22	for	for	ADP
fcis-6032	102	23	different	different	ADJ
fcis-6032	102	24	styles	style	NOUN
fcis-6032	102	25	.	.	PUNCT
fcis-6032	103	1	acknowledgments	acknowledgment	NOUN
fcis-6032	103	2	this	this	DET
fcis-6032	103	3	research	research	NOUN
fcis-6032	103	4	was	be	AUX
fcis-6032	103	5	supported	support	VERB
fcis-6032	103	6	by	by	ADP
fcis-6032	103	7	the	the	DET
fcis-6032	103	8	undergraduate	undergraduate	NOUN
fcis-6032	103	9	research	research	NOUN
fcis-6032	103	10	innovation	innovation	NOUN
fcis-6032	103	11	fund	fund	NOUN
fcis-6032	103	12	of	of	ADP
fcis-6032	103	13	anhui	anhui	PROPN
fcis-6032	103	14	university	university	PROPN
fcis-6032	103	15	of	of	ADP
fcis-6032	103	16	finance	finance	NOUN
fcis-6032	103	17	and	and	CCONJ
fcis-6032	103	18	economics	economic	NOUN
fcis-6032	103	19	(	(	PUNCT
fcis-6032	103	20	project	project	NOUN
fcis-6032	103	21	number	number	NOUN
fcis-6032	103	22	:	:	PUNCT
fcis-6032	103	23	xsky22152	xsky22152	PROPN
fcis-6032	103	24	)	)	PUNCT
fcis-6032	103	25	.	.	PUNCT
fcis-6032	104	1	the	the	DET
fcis-6032	104	2	project	project	NOUN
fcis-6032	104	3	name	name	NOUN
fcis-6032	104	4	was	be	AUX
fcis-6032	104	5	"	"	PUNCT
fcis-6032	104	6	research	research	NOUN
fcis-6032	104	7	on	on	ADP
fcis-6032	104	8	speech	speech	NOUN
fcis-6032	104	9	style	style	NOUN
fcis-6032	104	10	transfer	transfer	NOUN
fcis-6032	104	11	technology	technology	NOUN
fcis-6032	104	12	based	base	VERB
fcis-6032	104	13	on	on	ADP
fcis-6032	104	14	machine	machine	NOUN
fcis-6032	104	15	learning	learning	NOUN
fcis-6032	104	16	"	"	PUNCT
fcis-6032	104	17	.	.	PUNCT
fcis-6032	105	1	references	reference	NOUN
fcis-6032	105	2	[	[	X
fcis-6032	105	3	1	1	X
fcis-6032	105	4	]	]	PUNCT
fcis-6032	105	5	ren	ren	PROPN
fcis-6032	105	6	qiang	qiang	PROPN
fcis-6032	105	7	.	.	PUNCT
fcis-6032	105	8	research	research	NOUN
fcis-6032	105	9	and	and	CCONJ
fcis-6032	105	10	application	application	NOUN
fcis-6032	105	11	of	of	ADP
fcis-6032	105	12	speech	speech	NOUN
fcis-6032	105	13	style	style	NOUN
fcis-6032	105	14	transfer	transfer	NOUN
fcis-6032	105	15	technology	technology	NOUN
fcis-6032	105	16	based	base	VERB
fcis-6032	105	17	on	on	ADP
fcis-6032	105	18	generative	generative	ADJ
fcis-6032	105	19	adversarial	adversarial	ADJ
fcis-6032	105	20	network	network	NOUN
fcis-6032	106	1	[	[	X
fcis-6032	106	2	d	d	X
fcis-6032	106	3	]	]	X
fcis-6032	106	4	.	.	PUNCT
fcis-6032	107	1	chongqing	chongqing	PROPN
fcis-6032	107	2	university	university	PROPN
fcis-6032	107	3	of	of	ADP
fcis-6032	107	4	technology,2019	technology,2019	NOUN
fcis-6032	107	5	.	.	PUNCT
fcis-6032	108	1	[	[	X
fcis-6032	108	2	2	2	NUM
fcis-6032	108	3	]	]	X
fcis-6032	108	4	gray	gray	ADJ
fcis-6032	108	5	r	r	NOUN
fcis-6032	108	6	m.	m.	NOUN
fcis-6032	108	7	vector	vector	NOUN
fcis-6032	108	8	quantization[j	quantization[j	PROPN
fcis-6032	108	9	]	]	PUNCT
fcis-6032	108	10	.	.	PUNCT
fcis-6032	109	1	readings	reading	NOUN
fcis-6032	109	2	in	in	ADP
fcis-6032	109	3	speech	speech	NOUN
fcis-6032	109	4	recognition	recognition	NOUN
fcis-6032	109	5	,	,	PUNCT
fcis-6032	109	6	1990	1990	NUM
fcis-6032	109	7	,	,	PUNCT
fcis-6032	109	8	1(2):75–100	1(2):75–100	NUM
fcis-6032	109	9	.	.	PUNCT
fcis-6032	110	1	[	[	X
fcis-6032	110	2	3	3	X
fcis-6032	110	3	]	]	X
fcis-6032	110	4	chu	chu	PROPN
fcis-6032	110	5	min	min	PROPN
fcis-6032	110	6	,	,	PUNCT
fcis-6032	110	7	lv	lv	PROPN
fcis-6032	110	8	shinan	shinan	PROPN
fcis-6032	110	9	.	.	PUNCT
fcis-6032	111	1	the	the	DET
fcis-6032	111	2	invention	invention	NOUN
fcis-6032	111	3	relates	relate	VERB
fcis-6032	111	4	to	to	ADP
fcis-6032	111	5	a	a	DET
fcis-6032	111	6	synthesis	synthesis	NOUN
fcis-6032	111	7	method	method	NOUN
fcis-6032	111	8	combining	combine	VERB
fcis-6032	111	9	psola	psola	PROPN
fcis-6032	111	10	algorithm	algorithm	NOUN
fcis-6032	111	11	and	and	CCONJ
fcis-6032	111	12	speech	speech	NOUN
fcis-6032	111	13	sine	sine	NOUN
fcis-6032	111	14	model	model	NOUN
fcis-6032	111	15	[	[	X
fcis-6032	111	16	c]//	c]//	PROPN
fcis-6032	111	17	proceedings	proceeding	NOUN
fcis-6032	111	18	of	of	ADP
fcis-6032	111	19	the	the	DET
fcis-6032	111	20	fifth	fifth	ADJ
fcis-6032	111	21	national	national	ADJ
fcis-6032	111	22	conference	conference	NOUN
fcis-6032	111	23	on	on	ADP
fcis-6032	111	24	humancomputer	humancomputer	NOUN
fcis-6032	111	25	voice	voice	NOUN
fcis-6032	111	26	communication	communication	NOUN
fcis-6032	111	27	.	.	PUNCT
fcis-6032	112	1	1998	1998	NUM
fcis-6032	112	2	.	.	PUNCT
fcis-6032	113	1	[	[	X
fcis-6032	113	2	4	4	NUM
fcis-6032	113	3	]	]	X
fcis-6032	113	4	johnson	johnson	PROPN
fcis-6032	113	5	j	j	PROPN
fcis-6032	113	6	,	,	PUNCT
fcis-6032	113	7	alahi	alahi	PROPN
fcis-6032	113	8	a	a	PRON
fcis-6032	113	9	,	,	PUNCT
fcis-6032	113	10	fei	fei	PROPN
fcis-6032	113	11	-	-	PUNCT
fcis-6032	113	12	fei	fei	PROPN
fcis-6032	113	13	l.	l.	PROPN
fcis-6032	113	14	perceptual	perceptual	PROPN
fcis-6032	113	15	losses	loss	NOUN
fcis-6032	113	16	for	for	ADP
fcis-6032	113	17	real	real	ADJ
fcis-6032	113	18	-	-	PUNCT
fcis-6032	113	19	time	time	NOUN
fcis-6032	113	20	style	style	NOUN
fcis-6032	113	21	transfer	transfer	NOUN
fcis-6032	113	22	and	and	CCONJ
fcis-6032	113	23	super	super	NOUN
fcis-6032	113	24	-	-	ADJ
fcis-6032	113	25	resolution[c	resolution[c	NUM
fcis-6032	113	26	]	]	PUNCT
fcis-6032	113	27	.	.	PUNCT
fcis-6032	114	1	european	european	ADJ
fcis-6032	114	2	conference	conference	PROPN
fcis-6032	114	3	on	on	ADP
fcis-6032	114	4	computer	computer	NOUN
fcis-6032	114	5	vision	vision	NOUN
fcis-6032	114	6	,	,	PUNCT
fcis-6032	114	7	2016	2016	NUM
fcis-6032	114	8	:	:	PUNCT
fcis-6032	114	9	694	694	NUM
fcis-6032	114	10	-	-	SYM
fcis-6032	114	11	711	711	NUM
fcis-6032	114	12	.	.	PUNCT
fcis-6032	115	1	[	[	X
fcis-6032	115	2	5	5	NUM
fcis-6032	115	3	]	]	X
fcis-6032	115	4	goodfellow	goodfellow	PROPN
fcis-6032	115	5	i	i	PROPN
fcis-6032	115	6	,	,	PUNCT
fcis-6032	115	7	pouget	pouget	NOUN
fcis-6032	115	8	-	-	PUNCT
fcis-6032	115	9	abadie	abadie	NOUN
fcis-6032	115	10	j	j	PROPN
fcis-6032	115	11	,	,	PUNCT
fcis-6032	115	12	mirza	mirza	PROPN
fcis-6032	115	13	m	m	PROPN
fcis-6032	115	14	,	,	PUNCT
fcis-6032	115	15	et	et	PROPN
fcis-6032	115	16	al	al	PROPN
fcis-6032	115	17	.	.	PROPN
fcis-6032	115	18	generative	generative	PROPN
fcis-6032	115	19	adversarial	adversarial	ADJ
fcis-6032	115	20	nets[c	nets[c	NOUN
fcis-6032	115	21	]	]	PUNCT
fcis-6032	115	22	.	.	PUNCT
fcis-6032	116	1	advances	advance	NOUN
fcis-6032	116	2	in	in	ADP
fcis-6032	116	3	neural	neural	ADJ
fcis-6032	116	4	information	information	NOUN
fcis-6032	116	5	processing	processing	NOUN
fcis-6032	116	6	systems	system	NOUN
fcis-6032	116	7	.	.	PUNCT
fcis-6032	117	1	2014	2014	NUM
fcis-6032	117	2	:	:	PUNCT
fcis-6032	117	3	2672	2672	NUM
fcis-6032	117	4	-	-	SYM
fcis-6032	117	5	2680	2680	NUM
fcis-6032	117	6	.	.	PUNCT
fcis-6032	118	1	[	[	X
fcis-6032	118	2	6	6	NUM
fcis-6032	118	3	]	]	PUNCT
fcis-6032	118	4	zhu	zhu	PROPN
fcis-6032	118	5	j	j	PROPN
fcis-6032	118	6	y	y	PROPN
fcis-6032	118	7	,	,	PUNCT
fcis-6032	118	8	park	park	PROPN
fcis-6032	118	9	t	t	PROPN
fcis-6032	118	10	,	,	PUNCT
fcis-6032	118	11	isola	isola	PROPN
fcis-6032	118	12	p	p	X
fcis-6032	118	13	,	,	PUNCT
fcis-6032	118	14	et	et	PROPN
fcis-6032	118	15	al	al	PROPN
fcis-6032	118	16	.	.	PROPN
fcis-6032	118	17	unpaired	unpaired	ADJ
fcis-6032	118	18	image	image	NOUN
fcis-6032	118	19	-	-	PUNCT
fcis-6032	118	20	to	to	ADP
fcis-6032	118	21	-	-	PUNCT
fcis-6032	118	22	image	image	NOUN
fcis-6032	118	23	translation	translation	NOUN
fcis-6032	118	24	using	use	VERB
fcis-6032	118	25	cycle	cycle	NOUN
fcis-6032	118	26	-	-	PUNCT
fcis-6032	118	27	consistent	consistent	NOUN
fcis-6032	118	28	adversarial	adversarial	NOUN
fcis-6032	118	29	networks[c	networks[c	PROPN
fcis-6032	118	30	]	]	PUNCT
fcis-6032	118	31	.	.	PUNCT
fcis-6032	119	1	proceedings	proceeding	NOUN
fcis-6032	119	2	of	of	ADP
fcis-6032	119	3	the	the	DET
fcis-6032	119	4	ieee	ieee	NOUN
fcis-6032	119	5	international	international	PROPN
fcis-6032	119	6	conference	conference	NOUN
fcis-6032	119	7	on	on	ADP
fcis-6032	119	8	computer	computer	NOUN
fcis-6032	119	9	vision	vision	NOUN
fcis-6032	119	10	,	,	PUNCT
fcis-6032	119	11	2017:2223	2017:2223	NUM
fcis-6032	119	12	-	-	SYM
fcis-6032	119	13	2232	2232	NUM
fcis-6032	119	14	.	.	PUNCT