id	sid	tid	token	lemma	pos
bjmsr-2230	1	1	bangladesh	bangladesh	PROPN
bjmsr-2230	1	2	journal	journal	PROPN
bjmsr-2230	1	3	of	of	ADP
bjmsr-2230	1	4	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	1	5	scientific	scientific	ADJ
bjmsr-2230	1	6	research	research	NOUN
bjmsr-2230	1	7	9(3	9(3	NUM
bjmsr-2230	1	8	)	)	PUNCT
bjmsr-2230	1	9	(	(	PUNCT
bjmsr-2230	1	10	2024	2024	NUM
bjmsr-2230	1	11	)	)	PUNCT
bjmsr-2230	1	12	,	,	PUNCT
bjmsr-2230	1	13	21	21	NUM
bjmsr-2230	1	14	-	-	SYM
bjmsr-2230	1	15	32	32	NUM
bjmsr-2230	1	16	21	21	NUM
bjmsr-2230	1	17	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	1	18	scientific	scientific	ADJ
bjmsr-2230	1	19	research	research	NOUN
bjmsr-2230	1	20	bjmsr	bjmsr	NOUN
bjmsr-2230	1	21	vol	vol	VERB
bjmsr-2230	1	22	9	9	NUM
bjmsr-2230	1	23	no	no	DET
bjmsr-2230	1	24	3	3	NUM
bjmsr-2230	1	25	(	(	PUNCT
bjmsr-2230	1	26	2024	2024	NUM
bjmsr-2230	1	27	)	)	PUNCT
bjmsr-2230	1	28	p	p	X
bjmsr-2230	1	29	-	-	PUNCT
bjmsr-2230	1	30	issn	issn	PROPN
bjmsr-2230	1	31	2687	2687	NUM
bjmsr-2230	1	32	-	-	PUNCT
bjmsr-2230	1	33	850x	850x	NUM
bjmsr-2230	1	34	e	e	NOUN
bjmsr-2230	1	35	-	-	PROPN
bjmsr-2230	1	36	issn	issn	PROPN
bjmsr-2230	1	37	2687	2687	NUM
bjmsr-2230	1	38	-	-	SYM
bjmsr-2230	1	39	8518	8518	NUM
bjmsr-2230	1	40	available	available	ADJ
bjmsr-2230	1	41	online	online	ADV
bjmsr-2230	1	42	at	at	ADP
bjmsr-2230	1	43	https://www.cribfb.com	https://www.cribfb.com	X
bjmsr-2230	1	44	journal	journal	PROPN
bjmsr-2230	1	45	homepage	homepage	NOUN
bjmsr-2230	1	46	:	:	PUNCT
bjmsr-2230	1	47	https://www.cribfb.com/journal/index.php/bjmsr	https://www.cribfb.com/journal/index.php/bjmsr	NOUN
bjmsr-2230	1	48	published	publish	VERB
bjmsr-2230	1	49	by	by	ADP
bjmsr-2230	1	50	cribfb	cribfb	PROPN
bjmsr-2230	1	51	,	,	PUNCT
bjmsr-2230	1	52	usa	usa	PROPN
bjmsr-2230	1	53	music	music	PROPN
bjmsr-2230	1	54	emotion	emotion	NOUN
bjmsr-2230	1	55	recognition	recognition	NOUN
bjmsr-2230	1	56	and	and	CCONJ
bjmsr-2230	1	57	classification	classification	NOUN
bjmsr-2230	1	58	using	use	VERB
bjmsr-2230	1	59	hybrid	hybrid	ADJ
bjmsr-2230	1	60	cnn	cnn	PROPN
bjmsr-2230	1	61	-	-	PUNCT
bjmsr-2230	1	62	lstm	lstm	ADJ
bjmsr-2230	1	63	deep	deep	ADJ
bjmsr-2230	1	64	neural	neural	ADJ
bjmsr-2230	1	65	network	network	NOUN
bjmsr-2230	1	66	jumpi	jumpi	PROPN
bjmsr-2230	1	67	dutta	dutta	PROPN
bjmsr-2230	1	68	(	(	PUNCT
bjmsr-2230	1	69	a)1	a)1	PROPN
bjmsr-2230	1	70	dipankar	dipankar	PROPN
bjmsr-2230	1	71	chanda	chanda	PROPN
bjmsr-2230	1	72	(	(	PUNCT
bjmsr-2230	1	73	b	b	NOUN
bjmsr-2230	1	74	)	)	PUNCT
bjmsr-2230	1	75	(	(	PUNCT
bjmsr-2230	1	76	a)research	a)research	NOUN
bjmsr-2230	1	77	scholar	scholar	NOUN
bjmsr-2230	1	78	,	,	PUNCT
bjmsr-2230	1	79	department	department	NOUN
bjmsr-2230	1	80	of	of	ADP
bjmsr-2230	1	81	electrical	electrical	ADJ
bjmsr-2230	1	82	engineering	engineering	NOUN
bjmsr-2230	1	83	,	,	PUNCT
bjmsr-2230	1	84	assam	assam	PROPN
bjmsr-2230	1	85	engineering	engineering	PROPN
bjmsr-2230	1	86	college	college	PROPN
bjmsr-2230	1	87	,	,	PUNCT
bjmsr-2230	1	88	guwahati	guwahati	PROPN
bjmsr-2230	1	89	,	,	PUNCT
bjmsr-2230	1	90	assam	assam	PROPN
bjmsr-2230	1	91	,	,	PUNCT
bjmsr-2230	1	92	india	india	PROPN
bjmsr-2230	1	93	;	;	PUNCT
bjmsr-2230	1	94	e	e	X
bjmsr-2230	1	95	-	-	NOUN
bjmsr-2230	1	96	mail	mail	NOUN
bjmsr-2230	1	97	:	:	PUNCT
bjmsr-2230	2	1	jumpiofcit@gmail.com	jumpiofcit@gmail.com	PROPN
bjmsr-2230	2	2	(	(	PUNCT
bjmsr-2230	2	3	b)professor	b)professor	PROPN
bjmsr-2230	2	4	,	,	PUNCT
bjmsr-2230	2	5	department	department	NOUN
bjmsr-2230	2	6	of	of	ADP
bjmsr-2230	2	7	electrical	electrical	ADJ
bjmsr-2230	2	8	engineering	engineering	NOUN
bjmsr-2230	2	9	,	,	PUNCT
bjmsr-2230	2	10	assam	assam	PROPN
bjmsr-2230	2	11	engineering	engineering	PROPN
bjmsr-2230	2	12	college	college	PROPN
bjmsr-2230	2	13	,	,	PUNCT
bjmsr-2230	2	14	guwahati	guwahati	PROPN
bjmsr-2230	2	15	,	,	PUNCT
bjmsr-2230	2	16	assam	assam	PROPN
bjmsr-2230	2	17	,	,	PUNCT
bjmsr-2230	2	18	india	india	PROPN
bjmsr-2230	2	19	;	;	PUNCT
bjmsr-2230	2	20	e	e	X
bjmsr-2230	2	21	-	-	NOUN
bjmsr-2230	2	22	mail	mail	NOUN
bjmsr-2230	2	23	:	:	PUNCT
bjmsr-2230	2	24	dchanda2007@rediffmail.com	dchanda2007@rediffmail.com	X
bjmsr-2230	2	25	a	a	DET
bjmsr-2230	2	26	r	r	NOUN
bjmsr-2230	2	27	t	t	NOUN
bjmsr-2230	3	1	i	i	PRON
bjmsr-2230	3	2	c	c	NOUN
bjmsr-2230	3	3	l	l	NOUN
bjmsr-2230	3	4	e	e	NOUN
bjmsr-2230	4	1	i	i	PRON
bjmsr-2230	4	2	n	n	VERB
bjmsr-2230	4	3	f	f	NOUN
bjmsr-2230	4	4	o	o	NOUN
bjmsr-2230	4	5	article	article	NOUN
bjmsr-2230	4	6	history	history	NOUN
bjmsr-2230	4	7	:	:	PUNCT
bjmsr-2230	4	8	received	receive	VERB
bjmsr-2230	4	9	:	:	PUNCT
bjmsr-2230	4	10	14th	14th	NUM
bjmsr-2230	4	11	may	may	AUX
bjmsr-2230	4	12	2024	2024	NUM
bjmsr-2230	4	13	reviewed	review	VERB
bjmsr-2230	4	14	&	&	CCONJ
bjmsr-2230	4	15	revised	revise	VERB
bjmsr-2230	4	16	:	:	PUNCT
bjmsr-2230	4	17	14th	14th	NUM
bjmsr-2230	4	18	may	may	AUX
bjmsr-2230	4	19	to	to	ADP
bjmsr-2230	4	20	25th	25th	NOUN
bjmsr-2230	4	21	july	july	PROPN
bjmsr-2230	4	22	2024	2024	NUM
bjmsr-2230	4	23	accepted	accept	VERB
bjmsr-2230	4	24	:	:	PUNCT
bjmsr-2230	4	25	27th	27th	ADJ
bjmsr-2230	4	26	july	july	PROPN
bjmsr-2230	4	27	2024	2024	NUM
bjmsr-2230	4	28	published	publish	VERB
bjmsr-2230	4	29	:	:	PUNCT
bjmsr-2230	4	30	3rd	3rd	ADJ
bjmsr-2230	4	31	august	august	PROPN
bjmsr-2230	4	32	2024	2024	NUM
bjmsr-2230	4	33	keywords	keyword	NOUN
bjmsr-2230	4	34	:	:	PUNCT
bjmsr-2230	4	35	emotion	emotion	NOUN
bjmsr-2230	4	36	recognition	recognition	NOUN
bjmsr-2230	4	37	,	,	PUNCT
bjmsr-2230	4	38	assamese	assamese	PROPN
bjmsr-2230	4	39	,	,	PUNCT
bjmsr-2230	4	40	feature	feature	NOUN
bjmsr-2230	4	41	extraction	extraction	NOUN
bjmsr-2230	4	42	,	,	PUNCT
bjmsr-2230	4	43	mel	mel	PROPN
bjmsr-2230	4	44	frequency	frequency	PROPN
bjmsr-2230	4	45	cepstrum	cepstrum	PROPN
bjmsr-2230	4	46	coefficient	coefficient	NOUN
bjmsr-2230	4	47	,	,	PUNCT
bjmsr-2230	4	48	deep	deep	ADJ
bjmsr-2230	4	49	learning	learning	NOUN
bjmsr-2230	4	50	,	,	PUNCT
bjmsr-2230	4	51	long	long	ADJ
bjmsr-2230	4	52	short	short	ADJ
bjmsr-2230	4	53	-	-	PUNCT
bjmsr-2230	4	54	term	term	NOUN
bjmsr-2230	4	55	memory	memory	NOUN
bjmsr-2230	4	56	network	network	NOUN
bjmsr-2230	4	57	,	,	PUNCT
bjmsr-2230	4	58	convolutional	convolutional	ADJ
bjmsr-2230	4	59	neural	neural	ADJ
bjmsr-2230	4	60	network	network	NOUN
bjmsr-2230	4	61	.	.	PUNCT
bjmsr-2230	5	1	jel	jel	PROPN
bjmsr-2230	5	2	classification	classification	NOUN
bjmsr-2230	5	3	codes	code	NOUN
bjmsr-2230	5	4	:	:	PUNCT
bjmsr-2230	5	5	c880	c880	PROPN
bjmsr-2230	5	6	,	,	PUNCT
bjmsr-2230	5	7	y100	y100	PROPN
bjmsr-2230	5	8	,	,	PUNCT
bjmsr-2230	5	9	y800	y800	PROPN
bjmsr-2230	5	10	peer	peer	NOUN
bjmsr-2230	5	11	-	-	PUNCT
bjmsr-2230	5	12	review	review	NOUN
bjmsr-2230	5	13	model	model	NOUN
bjmsr-2230	5	14	:	:	PUNCT
bjmsr-2230	5	15	external	external	ADJ
bjmsr-2230	5	16	peer	peer	NOUN
bjmsr-2230	5	17	review	review	NOUN
bjmsr-2230	5	18	was	be	AUX
bjmsr-2230	5	19	done	do	VERB
bjmsr-2230	5	20	through	through	ADP
bjmsr-2230	5	21	double	double	ADJ
bjmsr-2230	5	22	-	-	PUNCT
bjmsr-2230	5	23	blind	blind	ADJ
bjmsr-2230	5	24	method	method	NOUN
bjmsr-2230	5	25	a	a	DET
bjmsr-2230	5	26	b	b	PROPN
bjmsr-2230	5	27	s	s	ADP
bjmsr-2230	5	28	t	t	PROPN
bjmsr-2230	5	29	r	r	NOUN
bjmsr-2230	5	30	a	a	DET
bjmsr-2230	5	31	c	c	NOUN
bjmsr-2230	5	32	t	t	NOUN
bjmsr-2230	5	33	in	in	ADP
bjmsr-2230	5	34	music	music	NOUN
bjmsr-2230	5	35	information	information	NOUN
bjmsr-2230	5	36	retrieval	retrieval	NOUN
bjmsr-2230	5	37	(	(	PUNCT
bjmsr-2230	5	38	mir	mir	PROPN
bjmsr-2230	5	39	)	)	PUNCT
bjmsr-2230	5	40	,	,	PUNCT
bjmsr-2230	5	41	emotion	emotion	NOUN
bjmsr-2230	5	42	-	-	PUNCT
bjmsr-2230	5	43	based	base	VERB
bjmsr-2230	5	44	classification	classification	NOUN
bjmsr-2230	5	45	is	be	AUX
bjmsr-2230	5	46	a	a	DET
bjmsr-2230	5	47	complex	complex	ADJ
bjmsr-2230	5	48	and	and	CCONJ
bjmsr-2230	5	49	challenging	challenging	ADJ
bjmsr-2230	5	50	task	task	NOUN
bjmsr-2230	5	51	for	for	ADP
bjmsr-2230	5	52	researchers	researcher	NOUN
bjmsr-2230	5	53	.	.	PUNCT
bjmsr-2230	6	1	in	in	ADP
bjmsr-2230	6	2	modern	modern	ADJ
bjmsr-2230	6	3	-	-	PUNCT
bjmsr-2230	6	4	day	day	NOUN
bjmsr-2230	6	5	information	information	NOUN
bjmsr-2230	6	6	technology	technology	NOUN
bjmsr-2230	6	7	,	,	PUNCT
bjmsr-2230	6	8	understanding	understand	VERB
bjmsr-2230	6	9	music	music	NOUN
bjmsr-2230	6	10	emotions	emotion	NOUN
bjmsr-2230	6	11	through	through	ADP
bjmsr-2230	6	12	humancomputer	humancomputer	NOUN
bjmsr-2230	6	13	interaction	interaction	NOUN
bjmsr-2230	6	14	plays	play	VERB
bjmsr-2230	6	15	a	a	DET
bjmsr-2230	6	16	vital	vital	ADJ
bjmsr-2230	6	17	role	role	NOUN
bjmsr-2230	6	18	in	in	ADP
bjmsr-2230	6	19	capturing	capture	VERB
bjmsr-2230	6	20	the	the	DET
bjmsr-2230	6	21	attention	attention	NOUN
bjmsr-2230	6	22	of	of	ADP
bjmsr-2230	6	23	both	both	DET
bjmsr-2230	6	24	researchers	researcher	NOUN
bjmsr-2230	6	25	and	and	CCONJ
bjmsr-2230	6	26	the	the	DET
bjmsr-2230	6	27	music	music	NOUN
bjmsr-2230	6	28	industry	industry	NOUN
bjmsr-2230	6	29	.	.	PUNCT
bjmsr-2230	7	1	this	this	DET
bjmsr-2230	7	2	paper	paper	NOUN
bjmsr-2230	7	3	presents	present	VERB
bjmsr-2230	7	4	a	a	DET
bjmsr-2230	7	5	learning	learn	VERB
bjmsr-2230	7	6	algorithm	algorithm	NOUN
bjmsr-2230	7	7	by	by	ADP
bjmsr-2230	7	8	adopting	adopt	VERB
bjmsr-2230	7	9	the	the	DET
bjmsr-2230	7	10	decision	decision	NOUN
bjmsr-2230	7	11	tree	tree	NOUN
bjmsr-2230	7	12	,	,	PUNCT
bjmsr-2230	7	13	random	random	ADJ
bjmsr-2230	7	14	forest	forest	NOUN
bjmsr-2230	7	15	,	,	PUNCT
bjmsr-2230	7	16	knearest	knearest	NOUN
bjmsr-2230	7	17	neighbors	neighbor	NOUN
bjmsr-2230	7	18	,	,	PUNCT
bjmsr-2230	7	19	multi	multi	ADJ
bjmsr-2230	7	20	-	-	ADJ
bjmsr-2230	7	21	layer	layer	ADJ
bjmsr-2230	7	22	perceptron	perceptron	NOUN
bjmsr-2230	7	23	(	(	PUNCT
bjmsr-2230	7	24	mlp	mlp	PROPN
bjmsr-2230	7	25	)	)	PUNCT
bjmsr-2230	7	26	,	,	PUNCT
bjmsr-2230	7	27	long	long	ADJ
bjmsr-2230	7	28	short	short	ADJ
bjmsr-2230	7	29	-	-	PUNCT
bjmsr-2230	7	30	term	term	NOUN
bjmsr-2230	7	31	memory	memory	NOUN
bjmsr-2230	7	32	(	(	PUNCT
bjmsr-2230	7	33	lstm	lstm	ADJ
bjmsr-2230	7	34	)	)	PUNCT
bjmsr-2230	7	35	neural	neural	ADJ
bjmsr-2230	7	36	network	network	NOUN
bjmsr-2230	7	37	,	,	PUNCT
bjmsr-2230	7	38	convolutional	convolutional	ADJ
bjmsr-2230	7	39	neural	neural	ADJ
bjmsr-2230	7	40	networks	network	NOUN
bjmsr-2230	7	41	(	(	PUNCT
bjmsr-2230	7	42	cnns	cnns	PROPN
bjmsr-2230	7	43	)	)	PUNCT
bjmsr-2230	7	44	,	,	PUNCT
bjmsr-2230	7	45	and	and	CCONJ
bjmsr-2230	7	46	cnn	cnn	PROPN
bjmsr-2230	7	47	-	-	PUNCT
bjmsr-2230	7	48	lstm	lstm	PROPN
bjmsr-2230	7	49	hybrid	hybrid	NOUN
bjmsr-2230	7	50	deep	deep	ADJ
bjmsr-2230	7	51	learning	learning	NOUN
bjmsr-2230	7	52	approaches	approach	NOUN
bjmsr-2230	7	53	with	with	ADP
bjmsr-2230	7	54	relevant	relevant	ADJ
bjmsr-2230	7	55	feature	feature	NOUN
bjmsr-2230	7	56	extraction	extraction	NOUN
bjmsr-2230	7	57	techniques	technique	NOUN
bjmsr-2230	7	58	.	.	PUNCT
bjmsr-2230	8	1	many	many	ADJ
bjmsr-2230	8	2	researchers	researcher	NOUN
bjmsr-2230	8	3	have	have	AUX
bjmsr-2230	8	4	performed	perform	VERB
bjmsr-2230	8	5	emotion	emotion	NOUN
bjmsr-2230	8	6	recognition	recognition	NOUN
bjmsr-2230	8	7	in	in	ADP
bjmsr-2230	8	8	music	music	NOUN
bjmsr-2230	8	9	for	for	ADP
bjmsr-2230	8	10	different	different	ADJ
bjmsr-2230	8	11	languages	language	NOUN
bjmsr-2230	8	12	such	such	ADJ
bjmsr-2230	8	13	as	as	ADP
bjmsr-2230	8	14	english	english	PROPN
bjmsr-2230	8	15	,	,	PUNCT
bjmsr-2230	8	16	chinese	chinese	PROPN
bjmsr-2230	8	17	,	,	PUNCT
bjmsr-2230	8	18	spanish	spanish	ADJ
bjmsr-2230	8	19	,	,	PUNCT
bjmsr-2230	8	20	turkish	turkish	ADJ
bjmsr-2230	8	21	,	,	PUNCT
bjmsr-2230	8	22	hindi	hindi	NOUN
bjmsr-2230	8	23	,	,	PUNCT
bjmsr-2230	8	24	etc	etc	X
bjmsr-2230	8	25	.	.	X
bjmsr-2230	8	26	however	however	ADV
bjmsr-2230	8	27	,	,	PUNCT
bjmsr-2230	8	28	languages	language	NOUN
bjmsr-2230	8	29	like	like	ADP
bjmsr-2230	8	30	assamese	assamese	PROPN
bjmsr-2230	8	31	have	have	AUX
bjmsr-2230	8	32	drawn	draw	VERB
bjmsr-2230	8	33	very	very	ADV
bjmsr-2230	8	34	little	little	ADJ
bjmsr-2230	8	35	attention	attention	NOUN
bjmsr-2230	8	36	in	in	ADP
bjmsr-2230	8	37	the	the	DET
bjmsr-2230	8	38	research	research	NOUN
bjmsr-2230	8	39	of	of	ADP
bjmsr-2230	8	40	music	music	NOUN
bjmsr-2230	8	41	emotion	emotion	NOUN
bjmsr-2230	8	42	recognition	recognition	NOUN
bjmsr-2230	8	43	(	(	PUNCT
bjmsr-2230	8	44	mer	mer	PROPN
bjmsr-2230	8	45	)	)	PUNCT
bjmsr-2230	8	46	.	.	PUNCT
bjmsr-2230	9	1	this	this	DET
bjmsr-2230	9	2	work	work	NOUN
bjmsr-2230	9	3	aims	aim	VERB
bjmsr-2230	9	4	to	to	PART
bjmsr-2230	9	5	perform	perform	VERB
bjmsr-2230	9	6	a	a	DET
bjmsr-2230	9	7	novel	novel	ADJ
bjmsr-2230	9	8	approach	approach	NOUN
bjmsr-2230	9	9	to	to	ADP
bjmsr-2230	9	10	emotion	emotion	NOUN
bjmsr-2230	9	11	recognition	recognition	NOUN
bjmsr-2230	9	12	in	in	ADP
bjmsr-2230	9	13	assamese	assamese	ADJ
bjmsr-2230	9	14	songs	song	NOUN
bjmsr-2230	9	15	.	.	PUNCT
bjmsr-2230	10	1	in	in	ADP
bjmsr-2230	10	2	this	this	DET
bjmsr-2230	10	3	study	study	NOUN
bjmsr-2230	10	4	,	,	PUNCT
bjmsr-2230	10	5	a	a	DET
bjmsr-2230	10	6	newly	newly	ADV
bjmsr-2230	10	7	created	create	VERB
bjmsr-2230	10	8	assamese	assamese	ADJ
bjmsr-2230	10	9	dataset	dataset	NOUN
bjmsr-2230	10	10	of	of	ADP
bjmsr-2230	10	11	200	200	NUM
bjmsr-2230	10	12	song	song	NOUN
bjmsr-2230	10	13	samples	sample	NOUN
bjmsr-2230	10	14	is	be	AUX
bjmsr-2230	10	15	used	use	VERB
bjmsr-2230	10	16	with	with	ADP
bjmsr-2230	10	17	four	four	NUM
bjmsr-2230	10	18	different	different	ADJ
bjmsr-2230	10	19	emotions	emotion	NOUN
bjmsr-2230	10	20	and	and	CCONJ
bjmsr-2230	10	21	another	another	DET
bjmsr-2230	10	22	dataset	dataset	NOUN
bjmsr-2230	10	23	used	use	VERB
bjmsr-2230	10	24	is	be	AUX
bjmsr-2230	10	25	the	the	DET
bjmsr-2230	10	26	ravdess	ravdess	ADJ
bjmsr-2230	10	27	emotional	emotional	ADJ
bjmsr-2230	10	28	song	song	NOUN
bjmsr-2230	10	29	database	database	NOUN
bjmsr-2230	10	30	which	which	PRON
bjmsr-2230	10	31	consists	consist	VERB
bjmsr-2230	10	32	of	of	ADP
bjmsr-2230	10	33	1012	1012	NUM
bjmsr-2230	10	34	song	song	NOUN
bjmsr-2230	10	35	samples	sample	NOUN
bjmsr-2230	10	36	with	with	ADP
bjmsr-2230	10	37	six	six	NUM
bjmsr-2230	10	38	different	different	ADJ
bjmsr-2230	10	39	music	music	NOUN
bjmsr-2230	10	40	emotions	emotion	NOUN
bjmsr-2230	10	41	.	.	PUNCT
bjmsr-2230	11	1	relevant	relevant	ADJ
bjmsr-2230	11	2	features	feature	NOUN
bjmsr-2230	11	3	such	such	ADJ
bjmsr-2230	11	4	as	as	ADP
bjmsr-2230	11	5	mel	mel	PROPN
bjmsr-2230	11	6	-	-	PUNCT
bjmsr-2230	11	7	frequency	frequency	NOUN
bjmsr-2230	11	8	cepstrum	cepstrum	NOUN
bjmsr-2230	11	9	coefficients	coefficient	NOUN
bjmsr-2230	11	10	(	(	PUNCT
bjmsr-2230	11	11	mfcc	mfcc	NOUN
bjmsr-2230	11	12	)	)	PUNCT
bjmsr-2230	11	13	,	,	PUNCT
bjmsr-2230	11	14	mel	mel	PROPN
bjmsr-2230	11	15	spectrogram	spectrogram	PROPN
bjmsr-2230	11	16	,	,	PUNCT
bjmsr-2230	11	17	and	and	CCONJ
bjmsr-2230	11	18	chroma	chroma	NOUN
bjmsr-2230	11	19	features	feature	NOUN
bjmsr-2230	11	20	are	be	AUX
bjmsr-2230	11	21	extracted	extract	VERB
bjmsr-2230	11	22	from	from	ADP
bjmsr-2230	11	23	the	the	DET
bjmsr-2230	11	24	song	song	NOUN
bjmsr-2230	11	25	samples	sample	NOUN
bjmsr-2230	11	26	to	to	PART
bjmsr-2230	11	27	investigate	investigate	VERB
bjmsr-2230	11	28	the	the	DET
bjmsr-2230	11	29	performance	performance	NOUN
bjmsr-2230	11	30	of	of	ADP
bjmsr-2230	11	31	the	the	DET
bjmsr-2230	11	32	proposed	propose	VERB
bjmsr-2230	11	33	method	method	NOUN
bjmsr-2230	11	34	.	.	PUNCT
bjmsr-2230	12	1	a	a	DET
bjmsr-2230	12	2	comparative	comparative	ADJ
bjmsr-2230	12	3	analysis	analysis	NOUN
bjmsr-2230	12	4	using	use	VERB
bjmsr-2230	12	5	different	different	ADJ
bjmsr-2230	12	6	classifiers	classifier	NOUN
bjmsr-2230	12	7	is	be	AUX
bjmsr-2230	12	8	carried	carry	VERB
bjmsr-2230	12	9	out	out	ADP
bjmsr-2230	12	10	and	and	CCONJ
bjmsr-2230	12	11	the	the	DET
bjmsr-2230	12	12	findings	finding	NOUN
bjmsr-2230	12	13	of	of	ADP
bjmsr-2230	12	14	this	this	DET
bjmsr-2230	12	15	study	study	NOUN
bjmsr-2230	12	16	suggest	suggest	VERB
bjmsr-2230	12	17	that	that	SCONJ
bjmsr-2230	12	18	the	the	DET
bjmsr-2230	12	19	cnn	cnn	PROPN
bjmsr-2230	12	20	-	-	PUNCT
bjmsr-2230	12	21	lstm	lstm	PROPN
bjmsr-2230	12	22	model	model	NOUN
bjmsr-2230	12	23	has	have	AUX
bjmsr-2230	12	24	shown	show	VERB
bjmsr-2230	12	25	better	well	ADJ
bjmsr-2230	12	26	accuracy	accuracy	NOUN
bjmsr-2230	12	27	with	with	ADP
bjmsr-2230	12	28	both	both	DET
bjmsr-2230	12	29	datasets	dataset	NOUN
bjmsr-2230	12	30	.	.	PUNCT
bjmsr-2230	13	1	the	the	DET
bjmsr-2230	13	2	accuracy	accuracy	NOUN
bjmsr-2230	13	3	is	be	AUX
bjmsr-2230	13	4	85.00	85.00	NUM
bjmsr-2230	13	5	%	%	NOUN
bjmsr-2230	13	6	with	with	ADP
bjmsr-2230	13	7	the	the	DET
bjmsr-2230	13	8	assamese	assamese	PROPN
bjmsr-2230	13	9	dataset	dataset	NOUN
bjmsr-2230	13	10	,	,	PUNCT
bjmsr-2230	13	11	and	and	CCONJ
bjmsr-2230	13	12	with	with	ADP
bjmsr-2230	13	13	the	the	DET
bjmsr-2230	13	14	ravdess	ravdess	NOUN
bjmsr-2230	13	15	dataset	dataset	NOUN
bjmsr-2230	13	16	,	,	PUNCT
bjmsr-2230	13	17	the	the	DET
bjmsr-2230	13	18	accuracy	accuracy	NOUN
bjmsr-2230	13	19	is	be	AUX
bjmsr-2230	13	20	89.66	89.66	NUM
bjmsr-2230	13	21	%	%	NOUN
bjmsr-2230	13	22	compared	compare	VERB
bjmsr-2230	13	23	to	to	ADP
bjmsr-2230	13	24	the	the	DET
bjmsr-2230	13	25	other	other	ADJ
bjmsr-2230	13	26	classifiers	classifier	NOUN
bjmsr-2230	13	27	used	use	VERB
bjmsr-2230	13	28	in	in	ADP
bjmsr-2230	13	29	this	this	DET
bjmsr-2230	13	30	work	work	NOUN
bjmsr-2230	13	31	.	.	PUNCT
bjmsr-2230	14	1	©	©	ADP
bjmsr-2230	14	2	2024	2024	NUM
bjmsr-2230	14	3	by	by	ADP
bjmsr-2230	14	4	the	the	DET
bjmsr-2230	14	5	authors	author	NOUN
bjmsr-2230	14	6	.	.	PUNCT
bjmsr-2230	15	1	licensee	licensee	PROPN
bjmsr-2230	15	2	cribfb	cribfb	PROPN
bjmsr-2230	15	3	,	,	PUNCT
bjmsr-2230	15	4	usa	usa	PROPN
bjmsr-2230	15	5	.	.	PROPN
bjmsr-2230	16	1	this	this	DET
bjmsr-2230	16	2	open	open	ADJ
bjmsr-2230	16	3	-	-	PUNCT
bjmsr-2230	16	4	access	access	NOUN
bjmsr-2230	16	5	article	article	NOUN
bjmsr-2230	16	6	is	be	AUX
bjmsr-2230	16	7	distributed	distribute	VERB
bjmsr-2230	16	8	under	under	ADP
bjmsr-2230	16	9	the	the	DET
bjmsr-2230	16	10	terms	term	NOUN
bjmsr-2230	16	11	and	and	CCONJ
bjmsr-2230	16	12	conditions	condition	NOUN
bjmsr-2230	16	13	of	of	ADP
bjmsr-2230	16	14	the	the	DET
bjmsr-2230	16	15	creative	creative	ADJ
bjmsr-2230	16	16	commons	common	NOUN
bjmsr-2230	16	17	attribution	attribution	NOUN
bjmsr-2230	16	18	(	(	PUNCT
bjmsr-2230	16	19	cc	cc	NOUN
bjmsr-2230	16	20	by	by	ADP
bjmsr-2230	16	21	)	)	PUNCT
bjmsr-2230	16	22	license	license	NOUN
bjmsr-2230	16	23	(	(	PUNCT
bjmsr-2230	16	24	http://creativecommons.org/licenses/by/4.0	http://creativecommons.org/licenses/by/4.0	NOUN
bjmsr-2230	16	25	)	)	PUNCT
bjmsr-2230	16	26	.	.	PUNCT
bjmsr-2230	17	1	introduction	introduction	NOUN
bjmsr-2230	17	2	emotion	emotion	NOUN
bjmsr-2230	17	3	is	be	AUX
bjmsr-2230	17	4	a	a	DET
bjmsr-2230	17	5	state	state	NOUN
bjmsr-2230	17	6	of	of	ADP
bjmsr-2230	17	7	feeling	feeling	NOUN
bjmsr-2230	17	8	that	that	PRON
bjmsr-2230	17	9	reflects	reflect	VERB
bjmsr-2230	17	10	the	the	DET
bjmsr-2230	17	11	conscious	conscious	ADJ
bjmsr-2230	17	12	mental	mental	ADJ
bjmsr-2230	17	13	reaction	reaction	NOUN
bjmsr-2230	17	14	based	base	VERB
bjmsr-2230	17	15	on	on	ADP
bjmsr-2230	17	16	an	an	DET
bjmsr-2230	17	17	event	event	NOUN
bjmsr-2230	17	18	,	,	PUNCT
bjmsr-2230	17	19	a	a	DET
bjmsr-2230	17	20	situation	situation	NOUN
bjmsr-2230	17	21	,	,	PUNCT
bjmsr-2230	17	22	or	or	CCONJ
bjmsr-2230	17	23	a	a	DET
bjmsr-2230	17	24	set	set	NOUN
bjmsr-2230	17	25	of	of	ADP
bjmsr-2230	17	26	circumstances	circumstance	NOUN
bjmsr-2230	17	27	,	,	PUNCT
bjmsr-2230	17	28	accompanied	accompany	VERB
bjmsr-2230	17	29	by	by	ADP
bjmsr-2230	17	30	physiological	physiological	ADJ
bjmsr-2230	17	31	and	and	CCONJ
bjmsr-2230	17	32	behavioral	behavioral	ADJ
bjmsr-2230	17	33	changes	change	NOUN
bjmsr-2230	17	34	in	in	ADP
bjmsr-2230	17	35	the	the	DET
bjmsr-2230	17	36	body	body	NOUN
bjmsr-2230	17	37	(	(	PUNCT
bjmsr-2230	17	38	domínguez	domínguez	NOUN
bjmsr-2230	17	39	-	-	PUNCT
bjmsr-2230	17	40	jiménez	jiménez	PROPN
bjmsr-2230	17	41	et	et	PROPN
bjmsr-2230	17	42	al	al	PROPN
bjmsr-2230	17	43	.	.	PROPN
bjmsr-2230	17	44	,	,	PUNCT
bjmsr-2230	17	45	2020	2020	NUM
bjmsr-2230	17	46	)	)	PUNCT
bjmsr-2230	17	47	.	.	PUNCT
bjmsr-2230	18	1	music	music	NOUN
bjmsr-2230	18	2	emotion	emotion	NOUN
bjmsr-2230	18	3	recognition	recognition	NOUN
bjmsr-2230	18	4	(	(	PUNCT
bjmsr-2230	18	5	mer	mer	PROPN
bjmsr-2230	18	6	)	)	PUNCT
bjmsr-2230	18	7	is	be	AUX
bjmsr-2230	18	8	one	one	NUM
bjmsr-2230	18	9	of	of	ADP
bjmsr-2230	18	10	the	the	DET
bjmsr-2230	18	11	important	important	ADJ
bjmsr-2230	18	12	subfields	subfield	NOUN
bjmsr-2230	18	13	of	of	ADP
bjmsr-2230	18	14	music	music	NOUN
bjmsr-2230	18	15	information	information	NOUN
bjmsr-2230	18	16	retrieval	retrieval	NOUN
bjmsr-2230	18	17	(	(	PUNCT
bjmsr-2230	18	18	mir	mir	PROPN
bjmsr-2230	18	19	)	)	PUNCT
bjmsr-2230	18	20	that	that	PRON
bjmsr-2230	18	21	has	have	AUX
bjmsr-2230	18	22	grown	grow	VERB
bjmsr-2230	18	23	over	over	ADP
bjmsr-2230	18	24	the	the	DET
bjmsr-2230	18	25	last	last	ADJ
bjmsr-2230	18	26	few	few	ADJ
bjmsr-2230	18	27	years	year	NOUN
bjmsr-2230	18	28	to	to	PART
bjmsr-2230	18	29	enhance	enhance	VERB
bjmsr-2230	18	30	human	human	ADJ
bjmsr-2230	18	31	-	-	PUNCT
bjmsr-2230	18	32	machine	machine	NOUN
bjmsr-2230	18	33	interaction	interaction	NOUN
bjmsr-2230	18	34	(	(	PUNCT
bjmsr-2230	18	35	hmi	hmi	PROPN
bjmsr-2230	18	36	)	)	PUNCT
bjmsr-2230	18	37	.	.	PUNCT
bjmsr-2230	19	1	the	the	DET
bjmsr-2230	19	2	emotion	emotion	NOUN
bjmsr-2230	19	3	recognition	recognition	NOUN
bjmsr-2230	19	4	task	task	NOUN
bjmsr-2230	19	5	in	in	ADP
bjmsr-2230	19	6	music	music	NOUN
bjmsr-2230	19	7	has	have	VERB
bjmsr-2230	19	8	many	many	ADJ
bjmsr-2230	19	9	applications	application	NOUN
bjmsr-2230	19	10	,	,	PUNCT
bjmsr-2230	19	11	such	such	ADJ
bjmsr-2230	19	12	as	as	ADP
bjmsr-2230	19	13	music	music	NOUN
bjmsr-2230	19	14	recommender	recommender	NOUN
bjmsr-2230	19	15	systems	system	NOUN
bjmsr-2230	19	16	,	,	PUNCT
bjmsr-2230	19	17	automated	automate	VERB
bjmsr-2230	19	18	playlist	playlist	NOUN
bjmsr-2230	19	19	generation	generation	NOUN
bjmsr-2230	19	20	,	,	PUNCT
bjmsr-2230	19	21	music	music	NOUN
bjmsr-2230	19	22	therapy	therapy	NOUN
bjmsr-2230	19	23	,	,	PUNCT
bjmsr-2230	19	24	mental	mental	ADJ
bjmsr-2230	19	25	health	health	NOUN
bjmsr-2230	19	26	monitoring	monitoring	NOUN
bjmsr-2230	19	27	,	,	PUNCT
bjmsr-2230	19	28	and	and	CCONJ
bjmsr-2230	19	29	so	so	ADV
bjmsr-2230	19	30	on	on	ADV
bjmsr-2230	19	31	(	(	PUNCT
bjmsr-2230	19	32	hizlisoy	hizlisoy	NOUN
bjmsr-2230	19	33	et	et	PROPN
bjmsr-2230	19	34	al	al	PROPN
bjmsr-2230	19	35	.	.	PROPN
bjmsr-2230	19	36	,	,	PUNCT
bjmsr-2230	19	37	2021	2021	NUM
bjmsr-2230	19	38	;	;	PUNCT
bjmsr-2230	19	39	modran	modran	VERB
bjmsr-2230	19	40	et	et	PROPN
bjmsr-2230	19	41	al	al	PROPN
bjmsr-2230	19	42	.	.	PROPN
bjmsr-2230	19	43	,	,	PUNCT
bjmsr-2230	19	44	2023	2023	NUM
bjmsr-2230	19	45	)	)	PUNCT
bjmsr-2230	19	46	.	.	PUNCT
bjmsr-2230	20	1	with	with	ADP
bjmsr-2230	20	2	enormous	enormous	ADJ
bjmsr-2230	20	3	song	song	NOUN
bjmsr-2230	20	4	generating	generate	VERB
bjmsr-2230	20	5	every	every	DET
bjmsr-2230	20	6	day	day	NOUN
bjmsr-2230	20	7	on	on	ADP
bjmsr-2230	20	8	the	the	DET
bjmsr-2230	20	9	internet	internet	NOUN
bjmsr-2230	20	10	and	and	CCONJ
bjmsr-2230	20	11	offline	offline	ADJ
bjmsr-2230	20	12	digital	digital	ADJ
bjmsr-2230	20	13	music	music	NOUN
bjmsr-2230	20	14	,	,	PUNCT
bjmsr-2230	20	15	the	the	DET
bjmsr-2230	20	16	task	task	NOUN
bjmsr-2230	20	17	of	of	ADP
bjmsr-2230	20	18	organizing	organize	VERB
bjmsr-2230	20	19	and	and	CCONJ
bjmsr-2230	20	20	retrieving	retrieve	VERB
bjmsr-2230	20	21	information	information	NOUN
bjmsr-2230	20	22	from	from	ADP
bjmsr-2230	20	23	such	such	ADJ
bjmsr-2230	20	24	music	music	NOUN
bjmsr-2230	20	25	becomes	become	VERB
bjmsr-2230	20	26	quite	quite	ADV
bjmsr-2230	20	27	challenging	challenging	ADJ
bjmsr-2230	20	28	.	.	PUNCT
bjmsr-2230	21	1	thus	thus	ADV
bjmsr-2230	21	2	,	,	PUNCT
bjmsr-2230	21	3	music	music	NOUN
bjmsr-2230	21	4	emotion	emotion	NOUN
bjmsr-2230	21	5	recognition	recognition	NOUN
bjmsr-2230	21	6	is	be	AUX
bjmsr-2230	21	7	an	an	DET
bjmsr-2230	21	8	emerging	emerge	VERB
bjmsr-2230	21	9	area	area	NOUN
bjmsr-2230	21	10	of	of	ADP
bjmsr-2230	21	11	research	research	NOUN
bjmsr-2230	21	12	with	with	ADP
bjmsr-2230	21	13	several	several	ADJ
bjmsr-2230	21	14	issues	issue	NOUN
bjmsr-2230	21	15	that	that	PRON
bjmsr-2230	21	16	need	need	VERB
bjmsr-2230	21	17	to	to	PART
bjmsr-2230	21	18	be	be	AUX
bjmsr-2230	21	19	dealt	deal	VERB
bjmsr-2230	21	20	with	with	ADP
bjmsr-2230	21	21	,	,	PUNCT
bjmsr-2230	21	22	such	such	ADJ
bjmsr-2230	21	23	as	as	ADP
bjmsr-2230	21	24	emotion	emotion	NOUN
bjmsr-2230	21	25	labelling	labelling	NOUN
bjmsr-2230	21	26	,	,	PUNCT
bjmsr-2230	21	27	selection	selection	NOUN
bjmsr-2230	21	28	of	of	ADP
bjmsr-2230	21	29	appropriate	appropriate	ADJ
bjmsr-2230	21	30	feature	feature	NOUN
bjmsr-2230	21	31	extraction	extraction	NOUN
bjmsr-2230	21	32	techniques	technique	NOUN
bjmsr-2230	21	33	,	,	PUNCT
bjmsr-2230	21	34	and	and	CCONJ
bjmsr-2230	21	35	classification	classification	NOUN
bjmsr-2230	21	36	algorithm	algorithm	NOUN
bjmsr-2230	21	37	.	.	PUNCT
bjmsr-2230	22	1	traditional	traditional	ADJ
bjmsr-2230	22	2	music	music	NOUN
bjmsr-2230	22	3	retrieval	retrieval	NOUN
bjmsr-2230	22	4	methods	method	NOUN
bjmsr-2230	22	5	of	of	ADP
bjmsr-2230	22	6	retrieving	retrieve	VERB
bjmsr-2230	22	7	music	music	NOUN
bjmsr-2230	22	8	information	information	NOUN
bjmsr-2230	22	9	are	be	AUX
bjmsr-2230	22	10	widely	widely	ADV
bjmsr-2230	22	11	used	use	VERB
bjmsr-2230	22	12	based	base	VERB
bjmsr-2230	22	13	on	on	ADP
bjmsr-2230	22	14	classification	classification	NOUN
bjmsr-2230	22	15	tags	tag	NOUN
bjmsr-2230	22	16	such	such	ADJ
bjmsr-2230	22	17	as	as	ADP
bjmsr-2230	22	18	artists	artist	NOUN
bjmsr-2230	22	19	'	'	PART
bjmsr-2230	22	20	names	name	NOUN
bjmsr-2230	22	21	,	,	PUNCT
bjmsr-2230	22	22	song	song	NOUN
bjmsr-2230	22	23	names	name	NOUN
bjmsr-2230	22	24	,	,	PUNCT
bjmsr-2230	22	25	and	and	CCONJ
bjmsr-2230	22	26	album	album	NOUN
bjmsr-2230	22	27	names	name	NOUN
bjmsr-2230	22	28	.	.	PUNCT
bjmsr-2230	23	1	however	however	ADV
bjmsr-2230	23	2	,	,	PUNCT
bjmsr-2230	23	3	these	these	DET
bjmsr-2230	23	4	traditional	traditional	ADJ
bjmsr-2230	23	5	methods	method	NOUN
bjmsr-2230	23	6	are	be	AUX
bjmsr-2230	23	7	considered	consider	VERB
bjmsr-2230	23	8	insufficient	insufficient	ADJ
bjmsr-2230	23	9	to	to	PART
bjmsr-2230	23	10	meet	meet	VERB
bjmsr-2230	23	11	people	people	NOUN
bjmsr-2230	23	12	's	's	PART
bjmsr-2230	23	13	demand	demand	NOUN
bjmsr-2230	23	14	for	for	ADP
bjmsr-2230	23	15	advanced	advanced	ADJ
bjmsr-2230	23	16	and	and	CCONJ
bjmsr-2230	23	17	personalized	personalized	ADJ
bjmsr-2230	23	18	music	music	NOUN
bjmsr-2230	23	19	recommendations	recommendation	NOUN
bjmsr-2230	23	20	.	.	PUNCT
bjmsr-2230	24	1	as	as	ADP
bjmsr-2230	24	2	a	a	DET
bjmsr-2230	24	3	result	result	NOUN
bjmsr-2230	24	4	,	,	PUNCT
bjmsr-2230	24	5	new	new	ADJ
bjmsr-2230	24	6	approaches	approach	NOUN
bjmsr-2230	24	7	have	have	AUX
bjmsr-2230	24	8	been	be	AUX
bjmsr-2230	24	9	needed	need	VERB
bjmsr-2230	24	10	to	to	PART
bjmsr-2230	24	11	enhance	enhance	VERB
bjmsr-2230	24	12	the	the	DET
bjmsr-2230	24	13	music	music	NOUN
bjmsr-2230	24	14	retrieval	retrieval	NOUN
bjmsr-2230	24	15	experience	experience	NOUN
bjmsr-2230	24	16	,	,	PUNCT
bjmsr-2230	24	17	and	and	CCONJ
bjmsr-2230	24	18	therefore	therefore	ADV
bjmsr-2230	24	19	,	,	PUNCT
bjmsr-2230	24	20	many	many	ADJ
bjmsr-2230	24	21	music	music	NOUN
bjmsr-2230	24	22	websites	website	NOUN
bjmsr-2230	24	23	have	have	AUX
bjmsr-2230	24	24	introduced	introduce	VERB
bjmsr-2230	24	25	music	music	NOUN
bjmsr-2230	24	26	recommendation	recommendation	NOUN
bjmsr-2230	24	27	services	service	NOUN
bjmsr-2230	24	28	.	.	PUNCT
bjmsr-2230	25	1	in	in	ADP
bjmsr-2230	25	2	recent	recent	ADJ
bjmsr-2230	25	3	years	year	NOUN
bjmsr-2230	25	4	,	,	PUNCT
bjmsr-2230	25	5	various	various	ADJ
bjmsr-2230	25	6	listening	listening	NOUN
bjmsr-2230	25	7	platforms	platform	NOUN
bjmsr-2230	25	8	have	have	AUX
bjmsr-2230	25	9	provided	provide	VERB
bjmsr-2230	25	10	song	song	NOUN
bjmsr-2230	25	11	recommendation	recommendation	NOUN
bjmsr-2230	25	12	services	service	NOUN
bjmsr-2230	25	13	for	for	ADP
bjmsr-2230	25	14	different	different	ADJ
bjmsr-2230	25	15	moods	mood	NOUN
bjmsr-2230	25	16	by	by	ADP
bjmsr-2230	25	17	analysing	analyse	VERB
bjmsr-2230	25	18	users	user	NOUN
bjmsr-2230	25	19	'	'	PART
bjmsr-2230	25	20	preferences	preference	NOUN
bjmsr-2230	25	21	and	and	CCONJ
bjmsr-2230	25	22	listening	listen	VERB
bjmsr-2230	25	23	history	history	NOUN
bjmsr-2230	25	24	(	(	PUNCT
bjmsr-2230	25	25	jitendra	jitendra	PROPN
bjmsr-2230	25	26	&	&	CCONJ
bjmsr-2230	25	27	radhika	radhika	PROPN
bjmsr-2230	25	28	,	,	PUNCT
bjmsr-2230	25	29	2021	2021	NUM
bjmsr-2230	25	30	)	)	PUNCT
bjmsr-2230	25	31	.	.	PUNCT
bjmsr-2230	26	1	in	in	ADP
bjmsr-2230	26	2	mer	mer	PROPN
bjmsr-2230	26	3	,	,	PUNCT
bjmsr-2230	26	4	one	one	NUM
bjmsr-2230	26	5	of	of	ADP
bjmsr-2230	26	6	the	the	DET
bjmsr-2230	26	7	researchers	researcher	NOUN
bjmsr-2230	26	8	'	'	PART
bjmsr-2230	26	9	challenges	challenge	NOUN
bjmsr-2230	26	10	is	be	AUX
bjmsr-2230	26	11	dealing	deal	VERB
bjmsr-2230	26	12	with	with	ADP
bjmsr-2230	26	13	copyrighted	copyright	VERB
bjmsr-2230	26	14	audio	audio	ADJ
bjmsr-2230	26	15	data	datum	NOUN
bjmsr-2230	26	16	.	.	PUNCT
bjmsr-2230	27	1	the	the	DET
bjmsr-2230	27	2	datasets	dataset	NOUN
bjmsr-2230	27	3	available	available	ADJ
bjmsr-2230	27	4	in	in	ADP
bjmsr-2230	27	5	various	various	ADJ
bjmsr-2230	27	6	studies	study	NOUN
bjmsr-2230	27	7	have	have	VERB
bjmsr-2230	27	8	restrictions	restriction	NOUN
bjmsr-2230	27	9	in	in	ADP
bjmsr-2230	27	10	the	the	DET
bjmsr-2230	27	11	modification	modification	NOUN
bjmsr-2230	27	12	and	and	CCONJ
bjmsr-2230	27	13	distribution	distribution	NOUN
bjmsr-2230	27	14	of	of	ADP
bjmsr-2230	27	15	the	the	DET
bjmsr-2230	27	16	audio	audio	ADJ
bjmsr-2230	27	17	material	material	NOUN
bjmsr-2230	27	18	.	.	PUNCT
bjmsr-2230	28	1	researchers	researcher	NOUN
bjmsr-2230	28	2	may	may	AUX
bjmsr-2230	28	3	be	be	AUX
bjmsr-2230	28	4	unable	unable	ADJ
bjmsr-2230	28	5	to	to	PART
bjmsr-2230	28	6	share	share	VERB
bjmsr-2230	28	7	the	the	DET
bjmsr-2230	28	8	1corresponding	1corresponding	PROPN
bjmsr-2230	28	9	author	author	NOUN
bjmsr-2230	28	10	:	:	PUNCT
bjmsr-2230	28	11	orcid	orcid	PROPN
bjmsr-2230	29	1	i	i	PRON
bjmsr-2230	29	2	d	d	NOUN
bjmsr-2230	29	3	:	:	PUNCT
bjmsr-2230	29	4	0009	0009	NUM
bjmsr-2230	29	5	-	-	PUNCT
bjmsr-2230	29	6	0008	0008	NUM
bjmsr-2230	29	7	-	-	PUNCT
bjmsr-2230	29	8	8265	8265	NUM
bjmsr-2230	29	9	-	-	SYM
bjmsr-2230	29	10	9242	9242	NUM
bjmsr-2230	29	11	©	©	ADP
bjmsr-2230	29	12	2024	2024	NUM
bjmsr-2230	29	13	by	by	ADP
bjmsr-2230	29	14	the	the	DET
bjmsr-2230	29	15	authors	author	NOUN
bjmsr-2230	29	16	.	.	PUNCT
bjmsr-2230	30	1	hosting	host	VERB
bjmsr-2230	30	2	by	by	ADP
bjmsr-2230	30	3	cribfb	cribfb	PROPN
bjmsr-2230	30	4	.	.	PUNCT
bjmsr-2230	31	1	peer	peer	NOUN
bjmsr-2230	31	2	review	review	NOUN
bjmsr-2230	31	3	is	be	AUX
bjmsr-2230	31	4	the	the	DET
bjmsr-2230	31	5	responsibility	responsibility	NOUN
bjmsr-2230	31	6	of	of	ADP
bjmsr-2230	31	7	cribfb	cribfb	PROPN
bjmsr-2230	31	8	,	,	PUNCT
bjmsr-2230	31	9	usa	usa	PROPN
bjmsr-2230	31	10	.	.	PROPN
bjmsr-2230	31	11	https://doi.org/10.46281/bjmsr.v9i3.2230	https://doi.org/10.46281/bjmsr.v9i3.2230	PRON
bjmsr-2230	31	12	to	to	PART
bjmsr-2230	31	13	cite	cite	VERB
bjmsr-2230	31	14	this	this	DET
bjmsr-2230	31	15	article	article	NOUN
bjmsr-2230	31	16	:	:	PUNCT
bjmsr-2230	31	17	dutta	dutta	PROPN
bjmsr-2230	31	18	,	,	PUNCT
bjmsr-2230	31	19	j.	j.	PROPN
bjmsr-2230	31	20	,	,	PUNCT
bjmsr-2230	31	21	&	&	CCONJ
bjmsr-2230	31	22	chanda	chanda	PROPN
bjmsr-2230	31	23	,	,	PUNCT
bjmsr-2230	31	24	d.	d.	PROPN
bjmsr-2230	31	25	(	(	PUNCT
bjmsr-2230	31	26	2024	2024	NUM
bjmsr-2230	31	27	)	)	PUNCT
bjmsr-2230	31	28	.	.	PUNCT
bjmsr-2230	32	1	music	music	NOUN
bjmsr-2230	32	2	emotion	emotion	NOUN
bjmsr-2230	32	3	recognition	recognition	NOUN
bjmsr-2230	32	4	and	and	CCONJ
bjmsr-2230	32	5	classification	classification	NOUN
bjmsr-2230	32	6	using	use	VERB
bjmsr-2230	32	7	hybrid	hybrid	ADJ
bjmsr-2230	32	8	cnn	cnn	PROPN
bjmsr-2230	32	9	-	-	PUNCT
bjmsr-2230	32	10	lstm	lstm	ADJ
bjmsr-2230	32	11	deep	deep	ADJ
bjmsr-2230	32	12	neural	neural	ADJ
bjmsr-2230	32	13	network	network	NOUN
bjmsr-2230	32	14	.	.	PUNCT
bjmsr-2230	33	1	bangladesh	bangladesh	PROPN
bjmsr-2230	33	2	journal	journal	PROPN
bjmsr-2230	33	3	of	of	ADP
bjmsr-2230	33	4	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	33	5	scientific	scientific	ADJ
bjmsr-2230	33	6	research	research	NOUN
bjmsr-2230	33	7	,	,	PUNCT
bjmsr-2230	33	8	9(3	9(3	NUM
bjmsr-2230	33	9	)	)	PUNCT
bjmsr-2230	33	10	,	,	PUNCT
bjmsr-2230	33	11	21	21	NUM
bjmsr-2230	33	12	-	-	SYM
bjmsr-2230	33	13	32	32	NUM
bjmsr-2230	33	14	.	.	PUNCT
bjmsr-2230	34	1	https://doi.org/10.46281/bjmsr.v9i3.2230	https://doi.org/10.46281/bjmsr.v9i3.2230	PROPN
bjmsr-2230	34	2	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
bjmsr-2230	34	3	)	)	PUNCT
bjmsr-2230	34	4	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
bjmsr-2230	34	5	)	)	PUNCT
bjmsr-2230	35	1	https://www.openaccess.nl/en	https://www.openaccess.nl/en	NOUN
bjmsr-2230	35	2	https://doi.org/10.46281/bjmsr.v9i3.2230	https://doi.org/10.46281/bjmsr.v9i3.2230	PROPN
bjmsr-2230	35	3	https://orcid.org/0009-0008-8265-9242	https://orcid.org/0009-0008-8265-9242	PROPN
bjmsr-2230	35	4	https://orcid.org/0009-0007-3704-716x	https://orcid.org/0009-0007-3704-716x	PROPN
bjmsr-2230	36	1	dutta	dutta	PROPN
bjmsr-2230	36	2	&	&	CCONJ
bjmsr-2230	36	3	chanda	chanda	PROPN
bjmsr-2230	36	4	,	,	PUNCT
bjmsr-2230	36	5	bangladesh	bangladesh	PROPN
bjmsr-2230	36	6	journal	journal	NOUN
bjmsr-2230	36	7	of	of	ADP
bjmsr-2230	36	8	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	36	9	scientific	scientific	ADJ
bjmsr-2230	36	10	research	research	NOUN
bjmsr-2230	36	11	9(3	9(3	NUM
bjmsr-2230	36	12	)	)	PUNCT
bjmsr-2230	36	13	(	(	PUNCT
bjmsr-2230	36	14	2024	2024	NUM
bjmsr-2230	36	15	)	)	PUNCT
bjmsr-2230	36	16	,	,	PUNCT
bjmsr-2230	36	17	21	21	NUM
bjmsr-2230	36	18	-	-	SYM
bjmsr-2230	36	19	32	32	NUM
bjmsr-2230	36	20	22	22	NUM
bjmsr-2230	36	21	dataset	dataset	NOUN
bjmsr-2230	36	22	due	due	ADP
bjmsr-2230	36	23	to	to	ADP
bjmsr-2230	36	24	legal	legal	ADJ
bjmsr-2230	36	25	constraints	constraint	NOUN
bjmsr-2230	36	26	,	,	PUNCT
bjmsr-2230	36	27	which	which	PRON
bjmsr-2230	36	28	may	may	AUX
bjmsr-2230	36	29	restrict	restrict	VERB
bjmsr-2230	36	30	other	other	ADJ
bjmsr-2230	36	31	researchers	researcher	NOUN
bjmsr-2230	36	32	from	from	ADP
bjmsr-2230	36	33	accessing	access	VERB
bjmsr-2230	36	34	the	the	DET
bjmsr-2230	36	35	same	same	ADJ
bjmsr-2230	36	36	data	datum	NOUN
bjmsr-2230	36	37	for	for	ADP
bjmsr-2230	36	38	further	further	ADJ
bjmsr-2230	36	39	research	research	NOUN
bjmsr-2230	36	40	.	.	PUNCT
bjmsr-2230	37	1	researchers	researcher	NOUN
bjmsr-2230	37	2	may	may	AUX
bjmsr-2230	37	3	consider	consider	VERB
bjmsr-2230	37	4	the	the	DET
bjmsr-2230	37	5	annotations	annotation	NOUN
bjmsr-2230	37	6	and	and	CCONJ
bjmsr-2230	37	7	metadata	metadata	NOUN
bjmsr-2230	37	8	obtained	obtain	VERB
bjmsr-2230	37	9	from	from	ADP
bjmsr-2230	37	10	social	social	ADJ
bjmsr-2230	37	11	music	music	NOUN
bjmsr-2230	37	12	websites	website	NOUN
bjmsr-2230	37	13	to	to	PART
bjmsr-2230	37	14	evaluate	evaluate	VERB
bjmsr-2230	37	15	mer	mer	NOUN
bjmsr-2230	37	16	algorithms	algorithm	NOUN
bjmsr-2230	37	17	.	.	PUNCT
bjmsr-2230	38	1	moreover	moreover	ADV
bjmsr-2230	38	2	,	,	PUNCT
bjmsr-2230	38	3	the	the	DET
bjmsr-2230	38	4	quality	quality	NOUN
bjmsr-2230	38	5	and	and	CCONJ
bjmsr-2230	38	6	reliability	reliability	NOUN
bjmsr-2230	38	7	of	of	ADP
bjmsr-2230	38	8	annotation	annotation	NOUN
bjmsr-2230	38	9	from	from	ADP
bjmsr-2230	38	10	such	such	ADJ
bjmsr-2230	38	11	sources	source	NOUN
bjmsr-2230	38	12	may	may	AUX
bjmsr-2230	38	13	vary	vary	VERB
bjmsr-2230	38	14	(	(	PUNCT
bjmsr-2230	38	15	aljanaki	aljanaki	NOUN
bjmsr-2230	38	16	et	et	PROPN
bjmsr-2230	38	17	al	al	PROPN
bjmsr-2230	38	18	.	.	PROPN
bjmsr-2230	38	19	,	,	PUNCT
bjmsr-2230	38	20	2017	2017	NUM
bjmsr-2230	38	21	)	)	PUNCT
bjmsr-2230	38	22	.	.	PUNCT
bjmsr-2230	39	1	a	a	DET
bjmsr-2230	39	2	self	self	NOUN
bjmsr-2230	39	3	-	-	PUNCT
bjmsr-2230	39	4	built	build	VERB
bjmsr-2230	39	5	assamese	assamese	ADJ
bjmsr-2230	39	6	database	database	NOUN
bjmsr-2230	39	7	consisting	consist	VERB
bjmsr-2230	39	8	of	of	ADP
bjmsr-2230	39	9	4	4	NUM
bjmsr-2230	39	10	-	-	PUNCT
bjmsr-2230	39	11	emotions	emotion	NOUN
bjmsr-2230	39	12	is	be	AUX
bjmsr-2230	39	13	used	use	VERB
bjmsr-2230	39	14	in	in	ADP
bjmsr-2230	39	15	the	the	DET
bjmsr-2230	39	16	proposed	propose	VERB
bjmsr-2230	39	17	work	work	NOUN
bjmsr-2230	39	18	.	.	PUNCT
bjmsr-2230	40	1	assamese	assamese	PROPN
bjmsr-2230	40	2	is	be	AUX
bjmsr-2230	40	3	a	a	DET
bjmsr-2230	40	4	regional	regional	ADJ
bjmsr-2230	40	5	language	language	NOUN
bjmsr-2230	40	6	from	from	ADP
bjmsr-2230	40	7	north	north	NOUN
bjmsr-2230	40	8	-	-	PUNCT
bjmsr-2230	40	9	eastern	eastern	ADJ
bjmsr-2230	40	10	india	india	PROPN
bjmsr-2230	40	11	,	,	PUNCT
bjmsr-2230	40	12	primarily	primarily	ADV
bjmsr-2230	40	13	spoken	speak	VERB
bjmsr-2230	40	14	in	in	ADP
bjmsr-2230	40	15	the	the	DET
bjmsr-2230	40	16	state	state	NOUN
bjmsr-2230	40	17	of	of	ADP
bjmsr-2230	40	18	assam	assam	PROPN
bjmsr-2230	40	19	.	.	PUNCT
bjmsr-2230	41	1	this	this	DET
bjmsr-2230	41	2	work	work	NOUN
bjmsr-2230	41	3	on	on	ADP
bjmsr-2230	41	4	emotion	emotion	NOUN
bjmsr-2230	41	5	recognition	recognition	NOUN
bjmsr-2230	41	6	in	in	ADP
bjmsr-2230	41	7	assamese	assamese	PROPN
bjmsr-2230	41	8	not	not	PART
bjmsr-2230	41	9	only	only	ADV
bjmsr-2230	41	10	addresses	address	VERB
bjmsr-2230	41	11	a	a	DET
bjmsr-2230	41	12	significant	significant	ADJ
bjmsr-2230	41	13	research	research	NOUN
bjmsr-2230	41	14	gap	gap	NOUN
bjmsr-2230	41	15	but	but	CCONJ
bjmsr-2230	41	16	also	also	ADV
bjmsr-2230	41	17	contributes	contribute	VERB
bjmsr-2230	41	18	to	to	ADP
bjmsr-2230	41	19	both	both	CCONJ
bjmsr-2230	41	20	academic	academic	ADJ
bjmsr-2230	41	21	knowledge	knowledge	NOUN
bjmsr-2230	41	22	and	and	CCONJ
bjmsr-2230	41	23	cultural	cultural	ADJ
bjmsr-2230	41	24	preservation	preservation	NOUN
bjmsr-2230	41	25	.	.	PUNCT
bjmsr-2230	42	1	the	the	DET
bjmsr-2230	42	2	proposed	propose	VERB
bjmsr-2230	42	3	work	work	NOUN
bjmsr-2230	42	4	also	also	ADV
bjmsr-2230	42	5	uses	use	VERB
bjmsr-2230	42	6	a	a	DET
bjmsr-2230	42	7	ravdess	ravdess	NOUN
bjmsr-2230	42	8	emotional	emotional	ADJ
bjmsr-2230	42	9	song	song	NOUN
bjmsr-2230	42	10	database	database	NOUN
bjmsr-2230	42	11	consisting	consist	VERB
bjmsr-2230	42	12	of	of	ADP
bjmsr-2230	42	13	6	6	NUM
bjmsr-2230	42	14	emotions	emotion	NOUN
bjmsr-2230	42	15	.	.	PUNCT
bjmsr-2230	43	1	many	many	ADJ
bjmsr-2230	43	2	researchers	researcher	NOUN
bjmsr-2230	43	3	have	have	AUX
bjmsr-2230	43	4	performed	perform	VERB
bjmsr-2230	43	5	their	their	PRON
bjmsr-2230	43	6	work	work	NOUN
bjmsr-2230	43	7	using	use	VERB
bjmsr-2230	43	8	ravdess	ravdess	NOUN
bjmsr-2230	43	9	speech	speech	NOUN
bjmsr-2230	43	10	databases	database	NOUN
bjmsr-2230	43	11	(	(	PUNCT
bjmsr-2230	43	12	christy	christy	PROPN
bjmsr-2230	43	13	et	et	PROPN
bjmsr-2230	43	14	al	al	PROPN
bjmsr-2230	43	15	.	.	PROPN
bjmsr-2230	43	16	,	,	PUNCT
bjmsr-2230	43	17	2020	2020	NUM
bjmsr-2230	43	18	;	;	PUNCT
bjmsr-2230	43	19	farooq	farooq	PROPN
bjmsr-2230	43	20	et	et	PROPN
bjmsr-2230	43	21	al	al	PROPN
bjmsr-2230	43	22	.	.	PROPN
bjmsr-2230	43	23	,	,	PUNCT
bjmsr-2230	43	24	2020	2020	NUM
bjmsr-2230	43	25	)	)	PUNCT
bjmsr-2230	43	26	,	,	PUNCT
bjmsr-2230	43	27	but	but	CCONJ
bjmsr-2230	43	28	to	to	ADP
bjmsr-2230	43	29	our	our	PRON
bjmsr-2230	43	30	best	good	ADJ
bjmsr-2230	43	31	knowledge	knowledge	NOUN
bjmsr-2230	43	32	,	,	PUNCT
bjmsr-2230	43	33	the	the	DET
bjmsr-2230	43	34	publications	publication	NOUN
bjmsr-2230	43	35	still	still	ADV
bjmsr-2230	43	36	need	need	VERB
bjmsr-2230	43	37	to	to	PART
bjmsr-2230	43	38	address	address	VERB
bjmsr-2230	43	39	the	the	DET
bjmsr-2230	43	40	ravdess	ravdess	NOUN
bjmsr-2230	43	41	song	song	NOUN
bjmsr-2230	43	42	database	database	NOUN
bjmsr-2230	43	43	using	use	VERB
bjmsr-2230	43	44	a	a	DET
bjmsr-2230	43	45	deep	deep	ADJ
bjmsr-2230	43	46	-	-	PUNCT
bjmsr-2230	43	47	learning	learn	VERB
bjmsr-2230	43	48	approach	approach	NOUN
bjmsr-2230	43	49	.	.	PUNCT
bjmsr-2230	44	1	this	this	DET
bjmsr-2230	44	2	work	work	NOUN
bjmsr-2230	44	3	focuses	focus	VERB
bjmsr-2230	44	4	on	on	ADP
bjmsr-2230	44	5	selecting	select	VERB
bjmsr-2230	44	6	appropriate	appropriate	ADJ
bjmsr-2230	44	7	machine	machine	NOUN
bjmsr-2230	44	8	learning	learn	VERB
bjmsr-2230	44	9	algorithms	algorithm	NOUN
bjmsr-2230	44	10	;	;	PUNCT
bjmsr-2230	44	11	therefore	therefore	ADV
bjmsr-2230	44	12	,	,	PUNCT
bjmsr-2230	44	13	a	a	DET
bjmsr-2230	44	14	cnn	cnn	PROPN
bjmsr-2230	44	15	-	-	PUNCT
bjmsr-2230	44	16	lstm	lstm	PROPN
bjmsr-2230	44	17	(	(	PUNCT
bjmsr-2230	44	18	agga	agga	PROPN
bjmsr-2230	44	19	et	et	PROPN
bjmsr-2230	44	20	al	al	PROPN
bjmsr-2230	44	21	.	.	PROPN
bjmsr-2230	44	22	,	,	PUNCT
bjmsr-2230	44	23	2022	2022	NUM
bjmsr-2230	44	24	)	)	PUNCT
bjmsr-2230	44	25	deep	deep	ADJ
bjmsr-2230	44	26	learning	learning	NOUN
bjmsr-2230	44	27	approach	approach	NOUN
bjmsr-2230	44	28	is	be	AUX
bjmsr-2230	44	29	used	use	VERB
bjmsr-2230	44	30	for	for	ADP
bjmsr-2230	44	31	music	music	NOUN
bjmsr-2230	44	32	emotion	emotion	NOUN
bjmsr-2230	44	33	recognition	recognition	NOUN
bjmsr-2230	44	34	.	.	PUNCT
bjmsr-2230	45	1	the	the	DET
bjmsr-2230	45	2	remaining	remain	VERB
bjmsr-2230	45	3	part	part	NOUN
bjmsr-2230	45	4	of	of	ADP
bjmsr-2230	45	5	the	the	DET
bjmsr-2230	45	6	paper	paper	NOUN
bjmsr-2230	45	7	is	be	AUX
bjmsr-2230	45	8	structured	structure	VERB
bjmsr-2230	45	9	as	as	SCONJ
bjmsr-2230	45	10	follows	follow	VERB
bjmsr-2230	45	11	:	:	PUNCT
bjmsr-2230	45	12	literature	literature	NOUN
bjmsr-2230	45	13	reviews	review	NOUN
bjmsr-2230	45	14	have	have	AUX
bjmsr-2230	45	15	been	be	AUX
bjmsr-2230	45	16	discussed	discuss	VERB
bjmsr-2230	45	17	in	in	ADP
bjmsr-2230	45	18	section	section	NOUN
bjmsr-2230	45	19	2	2	NUM
bjmsr-2230	45	20	.	.	PUNCT
bjmsr-2230	46	1	the	the	DET
bjmsr-2230	46	2	materials	material	NOUN
bjmsr-2230	46	3	and	and	CCONJ
bjmsr-2230	46	4	methods	method	NOUN
bjmsr-2230	46	5	including	include	VERB
bjmsr-2230	46	6	feature	feature	NOUN
bjmsr-2230	46	7	extraction	extraction	NOUN
bjmsr-2230	46	8	and	and	CCONJ
bjmsr-2230	46	9	classification	classification	NOUN
bjmsr-2230	46	10	has	have	AUX
bjmsr-2230	46	11	been	be	AUX
bjmsr-2230	46	12	discussed	discuss	VERB
bjmsr-2230	46	13	in	in	ADP
bjmsr-2230	46	14	section	section	NOUN
bjmsr-2230	46	15	3	3	NUM
bjmsr-2230	46	16	.	.	PUNCT
bjmsr-2230	46	17	section	section	NOUN
bjmsr-2230	46	18	4	4	NUM
bjmsr-2230	46	19	presents	present	VERB
bjmsr-2230	46	20	the	the	DET
bjmsr-2230	46	21	results	result	NOUN
bjmsr-2230	46	22	and	and	CCONJ
bjmsr-2230	46	23	discussions	discussion	NOUN
bjmsr-2230	46	24	.	.	PUNCT
bjmsr-2230	47	1	section	section	NOUN
bjmsr-2230	47	2	5	5	NUM
bjmsr-2230	47	3	concludes	conclude	VERB
bjmsr-2230	47	4	the	the	DET
bjmsr-2230	47	5	paper	paper	NOUN
bjmsr-2230	47	6	with	with	ADP
bjmsr-2230	47	7	some	some	DET
bjmsr-2230	47	8	possible	possible	ADJ
bjmsr-2230	47	9	future	future	ADJ
bjmsr-2230	47	10	directions	direction	NOUN
bjmsr-2230	47	11	.	.	PUNCT
bjmsr-2230	48	1	literature	literature	NOUN
bjmsr-2230	48	2	review	review	PROPN
bjmsr-2230	48	3	for	for	ADP
bjmsr-2230	48	4	the	the	DET
bjmsr-2230	48	5	analysis	analysis	NOUN
bjmsr-2230	48	6	of	of	ADP
bjmsr-2230	48	7	emotion	emotion	NOUN
bjmsr-2230	48	8	recognition	recognition	NOUN
bjmsr-2230	48	9	,	,	PUNCT
bjmsr-2230	48	10	an	an	DET
bjmsr-2230	48	11	annotated	annotate	VERB
bjmsr-2230	48	12	emotional	emotional	ADJ
bjmsr-2230	48	13	database	database	NOUN
bjmsr-2230	48	14	is	be	AUX
bjmsr-2230	48	15	necessary	necessary	ADJ
bjmsr-2230	48	16	.	.	PUNCT
bjmsr-2230	49	1	among	among	ADP
bjmsr-2230	49	2	the	the	DET
bjmsr-2230	49	3	various	various	ADJ
bjmsr-2230	49	4	approaches	approach	NOUN
bjmsr-2230	49	5	for	for	ADP
bjmsr-2230	49	6	labeling	labeling	NOUN
bjmsr-2230	49	7	emotions	emotion	NOUN
bjmsr-2230	49	8	in	in	ADP
bjmsr-2230	49	9	music	music	NOUN
bjmsr-2230	49	10	,	,	PUNCT
bjmsr-2230	49	11	mainly	mainly	ADV
bjmsr-2230	49	12	the	the	DET
bjmsr-2230	49	13	categorical	categorical	ADJ
bjmsr-2230	49	14	(	(	PUNCT
bjmsr-2230	49	15	panda	panda	NOUN
bjmsr-2230	49	16	et	et	PROPN
bjmsr-2230	49	17	al	al	PROPN
bjmsr-2230	49	18	.	.	PROPN
bjmsr-2230	49	19	,	,	PUNCT
bjmsr-2230	49	20	2015	2015	NUM
bjmsr-2230	49	21	)	)	PUNCT
bjmsr-2230	49	22	and	and	CCONJ
bjmsr-2230	49	23	dimensional	dimensional	ADJ
bjmsr-2230	49	24	(	(	PUNCT
bjmsr-2230	49	25	er	er	INTJ
bjmsr-2230	49	26	&	&	CCONJ
bjmsr-2230	49	27	esin	esin	PROPN
bjmsr-2230	49	28	,	,	PUNCT
bjmsr-2230	49	29	2021	2021	NUM
bjmsr-2230	49	30	;	;	PUNCT
bjmsr-2230	49	31	x.	x.	PROPN
bjmsr-2230	49	32	liu	liu	PROPN
bjmsr-2230	49	33	et	et	PROPN
bjmsr-2230	49	34	al	al	PROPN
bjmsr-2230	49	35	.	.	PROPN
bjmsr-2230	49	36	,	,	PUNCT
bjmsr-2230	49	37	2017	2017	NUM
bjmsr-2230	49	38	)	)	PUNCT
bjmsr-2230	49	39	approaches	approach	NOUN
bjmsr-2230	49	40	can	can	AUX
bjmsr-2230	49	41	be	be	AUX
bjmsr-2230	49	42	found	find	VERB
bjmsr-2230	49	43	in	in	ADP
bjmsr-2230	49	44	research	research	NOUN
bjmsr-2230	49	45	papers	paper	NOUN
bjmsr-2230	49	46	related	relate	VERB
bjmsr-2230	49	47	to	to	ADP
bjmsr-2230	49	48	music	music	NOUN
bjmsr-2230	49	49	emotion	emotion	NOUN
bjmsr-2230	49	50	recognition	recognition	NOUN
bjmsr-2230	49	51	.	.	PUNCT
bjmsr-2230	50	1	in	in	ADP
bjmsr-2230	50	2	the	the	DET
bjmsr-2230	50	3	categorical	categorical	ADJ
bjmsr-2230	50	4	approach	approach	NOUN
bjmsr-2230	50	5	,	,	PUNCT
bjmsr-2230	50	6	emotions	emotion	NOUN
bjmsr-2230	50	7	are	be	AUX
bjmsr-2230	50	8	identifying	identify	VERB
bjmsr-2230	50	9	by	by	ADP
bjmsr-2230	50	10	giving	give	VERB
bjmsr-2230	50	11	labels	label	NOUN
bjmsr-2230	50	12	to	to	ADP
bjmsr-2230	50	13	music	music	NOUN
bjmsr-2230	50	14	excerpts	excerpt	NOUN
bjmsr-2230	50	15	such	such	ADJ
bjmsr-2230	50	16	as	as	ADP
bjmsr-2230	50	17	happy	happy	ADJ
bjmsr-2230	50	18	,	,	PUNCT
bjmsr-2230	50	19	sad	sad	ADJ
bjmsr-2230	50	20	,	,	PUNCT
bjmsr-2230	50	21	angry	angry	ADJ
bjmsr-2230	50	22	,	,	PUNCT
bjmsr-2230	50	23	fearful	fearful	ADJ
bjmsr-2230	50	24	,	,	PUNCT
bjmsr-2230	50	25	relaxed	relaxed	ADJ
bjmsr-2230	50	26	etc	etc	X
bjmsr-2230	50	27	.	.	X
bjmsr-2230	51	1	(	(	PUNCT
bjmsr-2230	51	2	patra	patra	PROPN
bjmsr-2230	51	3	et	et	PROPN
bjmsr-2230	51	4	al	al	PROPN
bjmsr-2230	51	5	.	.	PROPN
bjmsr-2230	51	6	,	,	PUNCT
bjmsr-2230	51	7	2016	2016	NUM
bjmsr-2230	51	8	)	)	PUNCT
bjmsr-2230	51	9	.	.	PUNCT
bjmsr-2230	52	1	hevner	hevner	PROPN
bjmsr-2230	52	2	’s	’s	PART
bjmsr-2230	52	3	affective	affective	PROPN
bjmsr-2230	52	4	ring	ring	NOUN
bjmsr-2230	52	5	model	model	NOUN
bjmsr-2230	52	6	(	(	PUNCT
bjmsr-2230	52	7	er	er	INTJ
bjmsr-2230	52	8	&	&	CCONJ
bjmsr-2230	52	9	esin	esin	PROPN
bjmsr-2230	52	10	,	,	PUNCT
bjmsr-2230	52	11	2021	2021	NUM
bjmsr-2230	52	12	;	;	PUNCT
bjmsr-2230	52	13	patra	patra	PROPN
bjmsr-2230	52	14	et	et	PROPN
bjmsr-2230	52	15	al	al	PROPN
bjmsr-2230	52	16	.	.	PROPN
bjmsr-2230	52	17	,	,	PUNCT
bjmsr-2230	52	18	2018	2018	NUM
bjmsr-2230	52	19	)	)	PUNCT
bjmsr-2230	52	20	is	be	AUX
bjmsr-2230	52	21	one	one	NUM
bjmsr-2230	52	22	of	of	ADP
bjmsr-2230	52	23	the	the	DET
bjmsr-2230	52	24	popular	popular	ADJ
bjmsr-2230	52	25	models	model	NOUN
bjmsr-2230	52	26	in	in	ADP
bjmsr-2230	52	27	emotion	emotion	NOUN
bjmsr-2230	52	28	research	research	NOUN
bjmsr-2230	52	29	with	with	ADP
bjmsr-2230	52	30	8	8	NUM
bjmsr-2230	52	31	groups	group	NOUN
bjmsr-2230	52	32	of	of	ADP
bjmsr-2230	52	33	emotions	emotion	NOUN
bjmsr-2230	52	34	.	.	PUNCT
bjmsr-2230	53	1	in	in	ADP
bjmsr-2230	53	2	the	the	DET
bjmsr-2230	53	3	dimensional	dimensional	ADJ
bjmsr-2230	53	4	approach	approach	NOUN
bjmsr-2230	53	5	,	,	PUNCT
bjmsr-2230	53	6	emotion	emotion	NOUN
bjmsr-2230	53	7	is	be	AUX
bjmsr-2230	53	8	represented	represent	VERB
bjmsr-2230	53	9	with	with	ADP
bjmsr-2230	53	10	dimensional	dimensional	ADJ
bjmsr-2230	53	11	space	space	NOUN
bjmsr-2230	53	12	.	.	PUNCT
bjmsr-2230	54	1	(	(	PUNCT
bjmsr-2230	54	2	russell	russell	PROPN
bjmsr-2230	54	3	,	,	PUNCT
bjmsr-2230	54	4	1980	1980	NUM
bjmsr-2230	54	5	)	)	PUNCT
bjmsr-2230	54	6	proposed	propose	VERB
bjmsr-2230	54	7	a	a	DET
bjmsr-2230	54	8	2d	2d	NUM
bjmsr-2230	54	9	general	general	ADJ
bjmsr-2230	54	10	model	model	NOUN
bjmsr-2230	54	11	of	of	ADP
bjmsr-2230	54	12	affection	affection	NOUN
bjmsr-2230	54	13	that	that	PRON
bjmsr-2230	54	14	consists	consist	VERB
bjmsr-2230	54	15	of	of	ADP
bjmsr-2230	54	16	valence	valence	NOUN
bjmsr-2230	54	17	and	and	CCONJ
bjmsr-2230	54	18	arousal	arousal	NOUN
bjmsr-2230	54	19	as	as	ADP
bjmsr-2230	54	20	the	the	DET
bjmsr-2230	54	21	primary	primary	ADJ
bjmsr-2230	54	22	dimensions	dimension	NOUN
bjmsr-2230	54	23	(	(	PUNCT
bjmsr-2230	54	24	delbouys	delbouy	NOUN
bjmsr-2230	54	25	et	et	NOUN
bjmsr-2230	54	26	al	al	PROPN
bjmsr-2230	54	27	.	.	PROPN
bjmsr-2230	54	28	,	,	PUNCT
bjmsr-2230	54	29	2018	2018	NUM
bjmsr-2230	54	30	;	;	PUNCT
bjmsr-2230	54	31	weninger	weninger	PROPN
bjmsr-2230	54	32	et	et	PROPN
bjmsr-2230	54	33	al	al	PROPN
bjmsr-2230	54	34	.	.	PROPN
bjmsr-2230	54	35	,	,	PUNCT
bjmsr-2230	54	36	2014	2014	NUM
bjmsr-2230	54	37	)	)	PUNCT
bjmsr-2230	54	38	.	.	PUNCT
bjmsr-2230	55	1	panda	panda	NOUN
bjmsr-2230	55	2	et	et	PROPN
bjmsr-2230	55	3	al	al	PROPN
bjmsr-2230	55	4	.	.	PROPN
bjmsr-2230	55	5	(	(	PUNCT
bjmsr-2230	55	6	2020	2020	NUM
bjmsr-2230	55	7	)	)	PUNCT
bjmsr-2230	55	8	adopted	adopt	VERB
bjmsr-2230	55	9	russell	russell	PROPN
bjmsr-2230	55	10	’s	’s	PART
bjmsr-2230	55	11	emotion	emotion	NOUN
bjmsr-2230	55	12	quadrant	quadrant	NOUN
bjmsr-2230	55	13	to	to	PART
bjmsr-2230	55	14	evaluate	evaluate	VERB
bjmsr-2230	55	15	the	the	DET
bjmsr-2230	55	16	performance	performance	NOUN
bjmsr-2230	55	17	of	of	ADP
bjmsr-2230	55	18	their	their	PRON
bjmsr-2230	55	19	work	work	NOUN
bjmsr-2230	55	20	for	for	ADP
bjmsr-2230	55	21	music	music	NOUN
bjmsr-2230	55	22	emotion	emotion	NOUN
bjmsr-2230	55	23	recognition	recognition	NOUN
bjmsr-2230	55	24	by	by	ADP
bjmsr-2230	55	25	creating	create	VERB
bjmsr-2230	55	26	a	a	DET
bjmsr-2230	55	27	public	public	ADJ
bjmsr-2230	55	28	dataset	dataset	NOUN
bjmsr-2230	55	29	of	of	ADP
bjmsr-2230	55	30	900	900	NUM
bjmsr-2230	55	31	audio	audio	ADJ
bjmsr-2230	55	32	clips	clip	NOUN
bjmsr-2230	55	33	.	.	PUNCT
bjmsr-2230	56	1	distinguishing	distinguish	VERB
bjmsr-2230	56	2	relevant	relevant	ADJ
bjmsr-2230	56	3	features	feature	NOUN
bjmsr-2230	56	4	is	be	AUX
bjmsr-2230	56	5	essential	essential	ADJ
bjmsr-2230	56	6	for	for	ADP
bjmsr-2230	56	7	recognizing	recognize	VERB
bjmsr-2230	56	8	music	music	NOUN
bjmsr-2230	56	9	's	's	PART
bjmsr-2230	56	10	emotion	emotion	NOUN
bjmsr-2230	56	11	.	.	PUNCT
bjmsr-2230	57	1	zhang	zhang	PROPN
bjmsr-2230	57	2	et	et	PROPN
bjmsr-2230	57	3	al	al	PROPN
bjmsr-2230	57	4	.	.	PROPN
bjmsr-2230	58	1	(	(	PUNCT
bjmsr-2230	58	2	2016	2016	NUM
bjmsr-2230	58	3	)	)	PUNCT
bjmsr-2230	58	4	used	use	VERB
bjmsr-2230	58	5	a	a	DET
bjmsr-2230	58	6	random	random	ADJ
bjmsr-2230	58	7	forest	forest	NOUN
bjmsr-2230	58	8	classifier	classifier	NOUN
bjmsr-2230	58	9	with	with	ADP
bjmsr-2230	58	10	four	four	NUM
bjmsr-2230	58	11	emotions	emotion	NOUN
bjmsr-2230	58	12	:	:	PUNCT
bjmsr-2230	58	13	happy	happy	ADJ
bjmsr-2230	58	14	,	,	PUNCT
bjmsr-2230	58	15	sad	sad	ADJ
bjmsr-2230	58	16	,	,	PUNCT
bjmsr-2230	58	17	fear	fear	NOUN
bjmsr-2230	58	18	,	,	PUNCT
bjmsr-2230	58	19	and	and	CCONJ
bjmsr-2230	58	20	relaxed	relaxed	ADJ
bjmsr-2230	58	21	.	.	PUNCT
bjmsr-2230	59	1	music	music	NOUN
bjmsr-2230	59	2	audio	audio	NOUN
bjmsr-2230	59	3	signals	signal	NOUN
bjmsr-2230	59	4	are	be	AUX
bjmsr-2230	59	5	extracted	extract	VERB
bjmsr-2230	59	6	using	use	VERB
bjmsr-2230	59	7	mel	mel	PROPN
bjmsr-2230	59	8	-	-	PUNCT
bjmsr-2230	59	9	frequency	frequency	NOUN
bjmsr-2230	59	10	cepstrum	cepstrum	NOUN
bjmsr-2230	59	11	coefficients	coefficient	NOUN
bjmsr-2230	59	12	(	(	PUNCT
bjmsr-2230	59	13	mfcc	mfcc	NOUN
bjmsr-2230	59	14	)	)	PUNCT
bjmsr-2230	59	15	,	,	PUNCT
bjmsr-2230	59	16	rms	rm	VERB
bjmsr-2230	59	17	energy	energy	NOUN
bjmsr-2230	59	18	,	,	PUNCT
bjmsr-2230	59	19	zero	zero	NUM
bjmsr-2230	59	20	-	-	PUNCT
bjmsr-2230	59	21	crossing	crossing	NOUN
bjmsr-2230	59	22	rate	rate	NOUN
bjmsr-2230	59	23	(	(	PUNCT
bjmsr-2230	59	24	zcr	zcr	NOUN
bjmsr-2230	59	25	)	)	PUNCT
bjmsr-2230	59	26	,	,	PUNCT
bjmsr-2230	59	27	and	and	CCONJ
bjmsr-2230	59	28	fundamental	fundamental	ADJ
bjmsr-2230	59	29	frequency	frequency	NOUN
bjmsr-2230	59	30	f0	f0	PROPN
bjmsr-2230	59	31	.	.	PUNCT
bjmsr-2230	60	1	the	the	DET
bjmsr-2230	60	2	model	model	NOUN
bjmsr-2230	60	3	tested	test	VERB
bjmsr-2230	60	4	with	with	ADP
bjmsr-2230	60	5	an	an	DET
bjmsr-2230	60	6	emotional	emotional	ADJ
bjmsr-2230	60	7	apm	apm	NOUN
bjmsr-2230	60	8	music	music	NOUN
bjmsr-2230	60	9	database	database	NOUN
bjmsr-2230	60	10	and	and	CCONJ
bjmsr-2230	60	11	the	the	DET
bjmsr-2230	60	12	classification	classification	NOUN
bjmsr-2230	60	13	accuracy	accuracy	NOUN
bjmsr-2230	60	14	has	have	AUX
bjmsr-2230	60	15	shown	show	VERB
bjmsr-2230	60	16	to	to	PART
bjmsr-2230	60	17	be	be	AUX
bjmsr-2230	60	18	83.29	83.29	NUM
bjmsr-2230	60	19	%	%	NOUN
bjmsr-2230	60	20	.	.	PUNCT
bjmsr-2230	61	1	panda	panda	NOUN
bjmsr-2230	61	2	et	et	PROPN
bjmsr-2230	61	3	al	al	PROPN
bjmsr-2230	61	4	.	.	PROPN
bjmsr-2230	62	1	(	(	PUNCT
bjmsr-2230	62	2	2015	2015	NUM
bjmsr-2230	62	3	)	)	PUNCT
bjmsr-2230	62	4	have	have	AUX
bjmsr-2230	62	5	shown	show	VERB
bjmsr-2230	62	6	the	the	DET
bjmsr-2230	62	7	classification	classification	NOUN
bjmsr-2230	62	8	of	of	ADP
bjmsr-2230	62	9	emotional	emotional	ADJ
bjmsr-2230	62	10	state	state	NOUN
bjmsr-2230	62	11	in	in	ADP
bjmsr-2230	62	12	audio	audio	ADJ
bjmsr-2230	62	13	music	music	NOUN
bjmsr-2230	62	14	based	base	VERB
bjmsr-2230	62	15	on	on	ADP
bjmsr-2230	62	16	both	both	DET
bjmsr-2230	62	17	standard	standard	ADJ
bjmsr-2230	62	18	(	(	PUNCT
bjmsr-2230	62	19	253	253	NUM
bjmsr-2230	62	20	)	)	PUNCT
bjmsr-2230	62	21	and	and	CCONJ
bjmsr-2230	62	22	melodic	melodic	ADJ
bjmsr-2230	62	23	(	(	PUNCT
bjmsr-2230	62	24	98	98	NUM
bjmsr-2230	62	25	)	)	PUNCT
bjmsr-2230	62	26	audio	audio	NOUN
bjmsr-2230	62	27	features	feature	NOUN
bjmsr-2230	62	28	.	.	PUNCT
bjmsr-2230	63	1	it	it	PRON
bjmsr-2230	63	2	is	be	AUX
bjmsr-2230	63	3	evident	evident	ADJ
bjmsr-2230	63	4	from	from	ADP
bjmsr-2230	63	5	their	their	PRON
bjmsr-2230	63	6	experiment	experiment	NOUN
bjmsr-2230	63	7	that	that	PRON
bjmsr-2230	63	8	melodic	melodic	ADJ
bjmsr-2230	63	9	features	feature	NOUN
bjmsr-2230	63	10	perform	perform	VERB
bjmsr-2230	63	11	better	well	ADJ
bjmsr-2230	63	12	than	than	ADP
bjmsr-2230	63	13	the	the	DET
bjmsr-2230	63	14	standard	standard	ADJ
bjmsr-2230	63	15	audio	audio	NOUN
bjmsr-2230	63	16	features	feature	NOUN
bjmsr-2230	63	17	.	.	PUNCT
bjmsr-2230	64	1	patra	patra	PROPN
bjmsr-2230	64	2	et	et	PROPN
bjmsr-2230	64	3	al	al	PROPN
bjmsr-2230	64	4	.	.	PROPN
bjmsr-2230	65	1	(	(	PUNCT
bjmsr-2230	65	2	2018	2018	NUM
bjmsr-2230	65	3	)	)	PUNCT
bjmsr-2230	65	4	use	use	VERB
bjmsr-2230	65	5	acoustic	acoustic	ADJ
bjmsr-2230	65	6	features	feature	NOUN
bjmsr-2230	65	7	(	(	PUNCT
bjmsr-2230	65	8	deng	deng	PROPN
bjmsr-2230	65	9	&	&	CCONJ
bjmsr-2230	65	10	leung	leung	PROPN
bjmsr-2230	65	11	,	,	PUNCT
bjmsr-2230	65	12	2012	2012	NUM
bjmsr-2230	65	13	;	;	PUNCT
bjmsr-2230	65	14	kaya	kaya	PROPN
bjmsr-2230	65	15	et	et	PROPN
bjmsr-2230	65	16	al	al	PROPN
bjmsr-2230	65	17	.	.	PROPN
bjmsr-2230	65	18	,	,	PUNCT
bjmsr-2230	65	19	2020	2020	NUM
bjmsr-2230	65	20	)	)	PUNCT
bjmsr-2230	65	21	,	,	PUNCT
bjmsr-2230	65	22	such	such	ADJ
bjmsr-2230	65	23	as	as	ADP
bjmsr-2230	65	24	rhythm	rhythm	NOUN
bjmsr-2230	65	25	,	,	PUNCT
bjmsr-2230	65	26	timbre	timbre	NOUN
bjmsr-2230	65	27	,	,	PUNCT
bjmsr-2230	65	28	and	and	CCONJ
bjmsr-2230	65	29	intensity	intensity	NOUN
bjmsr-2230	65	30	,	,	PUNCT
bjmsr-2230	65	31	to	to	PART
bjmsr-2230	65	32	classify	classify	VERB
bjmsr-2230	65	33	various	various	ADJ
bjmsr-2230	65	34	moods	mood	NOUN
bjmsr-2230	65	35	of	of	ADP
bjmsr-2230	65	36	hindi	hindi	NOUN
bjmsr-2230	65	37	and	and	CCONJ
bjmsr-2230	65	38	western	western	ADJ
bjmsr-2230	65	39	songs	song	NOUN
bjmsr-2230	65	40	.	.	PUNCT
bjmsr-2230	66	1	masood	masood	PROPN
bjmsr-2230	66	2	et	et	PROPN
bjmsr-2230	66	3	al	al	PROPN
bjmsr-2230	66	4	.	.	PROPN
bjmsr-2230	67	1	(	(	PUNCT
bjmsr-2230	67	2	2016	2016	NUM
bjmsr-2230	67	3	)	)	PUNCT
bjmsr-2230	67	4	use	use	VERB
bjmsr-2230	67	5	spectral	spectral	ADJ
bjmsr-2230	67	6	features	feature	NOUN
bjmsr-2230	67	7	such	such	ADJ
bjmsr-2230	67	8	as	as	ADP
bjmsr-2230	67	9	root	root	NOUN
bjmsr-2230	67	10	mean	mean	ADJ
bjmsr-2230	67	11	square	square	ADJ
bjmsr-2230	67	12	energy	energy	NOUN
bjmsr-2230	67	13	,	,	PUNCT
bjmsr-2230	67	14	brightness	brightness	NOUN
bjmsr-2230	67	15	,	,	PUNCT
bjmsr-2230	67	16	roughness	roughness	NOUN
bjmsr-2230	67	17	,	,	PUNCT
bjmsr-2230	67	18	spectral	spectral	ADJ
bjmsr-2230	67	19	roll	roll	NOUN
bjmsr-2230	67	20	-	-	PUNCT
bjmsr-2230	67	21	off	off	NOUN
bjmsr-2230	67	22	,	,	PUNCT
bjmsr-2230	67	23	skewness	skewness	NOUN
bjmsr-2230	67	24	,	,	PUNCT
bjmsr-2230	67	25	and	and	CCONJ
bjmsr-2230	67	26	flatness	flatness	NOUN
bjmsr-2230	67	27	for	for	ADP
bjmsr-2230	67	28	singer	singer	NOUN
bjmsr-2230	67	29	identification	identification	NOUN
bjmsr-2230	67	30	in	in	ADP
bjmsr-2230	67	31	hindi	hindi	NOUN
bjmsr-2230	67	32	songs	song	NOUN
bjmsr-2230	67	33	.	.	PUNCT
bjmsr-2230	68	1	rmse	rmse	PROPN
bjmsr-2230	68	2	(	(	PUNCT
bjmsr-2230	68	3	root	root	NOUN
bjmsr-2230	68	4	mean	mean	VERB
bjmsr-2230	68	5	square	square	NOUN
bjmsr-2230	68	6	error	error	NOUN
bjmsr-2230	68	7	)	)	PUNCT
bjmsr-2230	68	8	,	,	PUNCT
bjmsr-2230	68	9	mae	mae	PROPN
bjmsr-2230	68	10	(	(	PUNCT
bjmsr-2230	68	11	mean	mean	ADJ
bjmsr-2230	68	12	absolute	absolute	ADJ
bjmsr-2230	68	13	error	error	NOUN
bjmsr-2230	68	14	)	)	PUNCT
bjmsr-2230	68	15	,	,	PUNCT
bjmsr-2230	68	16	and	and	CCONJ
bjmsr-2230	68	17	r2	r2	PROPN
bjmsr-2230	68	18	(	(	PUNCT
bjmsr-2230	68	19	square	square	ADJ
bjmsr-2230	68	20	coefficient	coefficient	NOUN
bjmsr-2230	68	21	)	)	PUNCT
bjmsr-2230	68	22	are	be	AUX
bjmsr-2230	68	23	used	use	VERB
bjmsr-2230	68	24	by	by	ADP
bjmsr-2230	68	25	yang	yang	PROPN
bjmsr-2230	68	26	(	(	PUNCT
bjmsr-2230	68	27	2021	2021	NUM
bjmsr-2230	68	28	)	)	PUNCT
bjmsr-2230	68	29	in	in	ADP
bjmsr-2230	68	30	music	music	NOUN
bjmsr-2230	68	31	emotion	emotion	NOUN
bjmsr-2230	68	32	recognition	recognition	NOUN
bjmsr-2230	68	33	using	use	VERB
bjmsr-2230	68	34	neural	neural	ADJ
bjmsr-2230	68	35	network	network	NOUN
bjmsr-2230	68	36	technology	technology	NOUN
bjmsr-2230	68	37	.	.	PUNCT
bjmsr-2230	69	1	nowadays	nowadays	ADV
bjmsr-2230	69	2	,	,	PUNCT
bjmsr-2230	69	3	machine	machine	NOUN
bjmsr-2230	69	4	learning	learning	NOUN
bjmsr-2230	69	5	and	and	CCONJ
bjmsr-2230	69	6	deep	deep	ADJ
bjmsr-2230	69	7	learning	learning	NOUN
bjmsr-2230	69	8	approaches	approach	NOUN
bjmsr-2230	69	9	are	be	AUX
bjmsr-2230	69	10	used	use	VERB
bjmsr-2230	69	11	by	by	ADP
bjmsr-2230	69	12	many	many	ADJ
bjmsr-2230	69	13	researchers	researcher	NOUN
bjmsr-2230	69	14	to	to	PART
bjmsr-2230	69	15	recognize	recognize	VERB
bjmsr-2230	69	16	music	music	NOUN
bjmsr-2230	69	17	emotions	emotion	NOUN
bjmsr-2230	69	18	in	in	ADP
bjmsr-2230	69	19	a	a	DET
bjmsr-2230	69	20	dataset	dataset	NOUN
bjmsr-2230	69	21	.	.	PUNCT
bjmsr-2230	70	1	deep	deep	ADJ
bjmsr-2230	70	2	learning	learning	NOUN
bjmsr-2230	70	3	architectures	architecture	NOUN
bjmsr-2230	70	4	achieve	achieve	VERB
bjmsr-2230	70	5	excellent	excellent	ADJ
bjmsr-2230	70	6	results	result	NOUN
bjmsr-2230	70	7	along	along	ADP
bjmsr-2230	70	8	with	with	ADP
bjmsr-2230	70	9	some	some	DET
bjmsr-2230	70	10	suitable	suitable	ADJ
bjmsr-2230	70	11	feature	feature	NOUN
bjmsr-2230	70	12	extraction	extraction	NOUN
bjmsr-2230	70	13	techniques	technique	NOUN
bjmsr-2230	70	14	.	.	PUNCT
bjmsr-2230	71	1	a	a	DET
bjmsr-2230	71	2	deep	deep	ADJ
bjmsr-2230	71	3	learning	learning	NOUN
bjmsr-2230	71	4	method	method	NOUN
bjmsr-2230	71	5	of	of	ADP
bjmsr-2230	71	6	one	one	NUM
bjmsr-2230	71	7	-	-	PUNCT
bjmsr-2230	71	8	dimensional	dimensional	ADJ
bjmsr-2230	71	9	residual	residual	ADJ
bjmsr-2230	71	10	convolutional	convolutional	ADJ
bjmsr-2230	71	11	neural	neural	ADJ
bjmsr-2230	71	12	network	network	NOUN
bjmsr-2230	71	13	(	(	PUNCT
bjmsr-2230	71	14	1d	1d	NUM
bjmsr-2230	71	15	cnn	cnn	PROPN
bjmsr-2230	71	16	)	)	PUNCT
bjmsr-2230	71	17	with	with	ADP
bjmsr-2230	71	18	the	the	DET
bjmsr-2230	71	19	inception	inception	PROPN
bjmsr-2230	71	20	gate	gate	PROPN
bjmsr-2230	71	21	recurrent	recurrent	PROPN
bjmsr-2230	71	22	unit	unit	NOUN
bjmsr-2230	71	23	(	(	PUNCT
bjmsr-2230	71	24	gru	gru	PROPN
bjmsr-2230	71	25	)	)	PUNCT
bjmsr-2230	71	26	has	have	AUX
bjmsr-2230	71	27	been	be	AUX
bjmsr-2230	71	28	proposed	propose	VERB
bjmsr-2230	71	29	by	by	ADP
bjmsr-2230	71	30	han	han	PROPN
bjmsr-2230	71	31	et	et	PROPN
bjmsr-2230	71	32	al	al	PROPN
bjmsr-2230	71	33	.	.	PROPN
bjmsr-2230	72	1	(	(	PUNCT
bjmsr-2230	72	2	2023	2023	NUM
bjmsr-2230	72	3	)	)	PUNCT
bjmsr-2230	72	4	.	.	PUNCT
bjmsr-2230	73	1	they	they	PRON
bjmsr-2230	73	2	experimented	experiment	VERB
bjmsr-2230	73	3	on	on	ADP
bjmsr-2230	73	4	the	the	DET
bjmsr-2230	73	5	soundtrack	soundtrack	NOUN
bjmsr-2230	73	6	dataset	dataset	NOUN
bjmsr-2230	73	7	and	and	CCONJ
bjmsr-2230	73	8	observed	observe	VERB
bjmsr-2230	73	9	that	that	SCONJ
bjmsr-2230	73	10	the	the	DET
bjmsr-2230	73	11	proposed	propose	VERB
bjmsr-2230	73	12	model	model	NOUN
bjmsr-2230	73	13	performs	perform	VERB
bjmsr-2230	73	14	effectively	effectively	ADV
bjmsr-2230	73	15	in	in	ADP
bjmsr-2230	73	16	emotion	emotion	NOUN
bjmsr-2230	73	17	detection	detection	NOUN
bjmsr-2230	73	18	and	and	CCONJ
bjmsr-2230	73	19	classification	classification	NOUN
bjmsr-2230	73	20	tasks	task	NOUN
bjmsr-2230	73	21	in	in	ADP
bjmsr-2230	73	22	music	music	NOUN
bjmsr-2230	73	23	with	with	ADP
bjmsr-2230	73	24	an	an	DET
bjmsr-2230	73	25	accuracy	accuracy	NOUN
bjmsr-2230	73	26	of	of	ADP
bjmsr-2230	73	27	84	84	NUM
bjmsr-2230	73	28	%	%	NOUN
bjmsr-2230	73	29	.	.	PUNCT
bjmsr-2230	74	1	hizlisoy	hizlisoy	PROPN
bjmsr-2230	74	2	et	et	PROPN
bjmsr-2230	74	3	al	al	PROPN
bjmsr-2230	74	4	.	.	PROPN
bjmsr-2230	75	1	(	(	PUNCT
bjmsr-2230	75	2	2021	2021	NUM
bjmsr-2230	75	3	)	)	PUNCT
bjmsr-2230	75	4	adopted	adopt	VERB
bjmsr-2230	75	5	a	a	DET
bjmsr-2230	75	6	new	new	ADJ
bjmsr-2230	75	7	turkish	turkish	ADJ
bjmsr-2230	75	8	emotional	emotional	ADJ
bjmsr-2230	75	9	music	music	NOUN
bjmsr-2230	75	10	database	database	NOUN
bjmsr-2230	75	11	with	with	ADP
bjmsr-2230	75	12	a	a	DET
bjmsr-2230	75	13	duration	duration	NOUN
bjmsr-2230	75	14	of	of	ADP
bjmsr-2230	75	15	30	30	NUM
bjmsr-2230	75	16	seconds	second	NOUN
bjmsr-2230	75	17	each	each	PRON
bjmsr-2230	75	18	,	,	PUNCT
bjmsr-2230	75	19	classified	classify	VERB
bjmsr-2230	75	20	using	use	VERB
bjmsr-2230	75	21	the	the	DET
bjmsr-2230	75	22	long	long	ADJ
bjmsr-2230	75	23	short	short	ADJ
bjmsr-2230	75	24	-	-	PUNCT
bjmsr-2230	75	25	term	term	NOUN
bjmsr-2230	75	26	memory	memory	NOUN
bjmsr-2230	75	27	(	(	PUNCT
bjmsr-2230	75	28	lstm	lstm	NOUN
bjmsr-2230	75	29	)	)	PUNCT
bjmsr-2230	75	30	and	and	CCONJ
bjmsr-2230	75	31	deep	deep	ADJ
bjmsr-2230	75	32	neural	neural	ADJ
bjmsr-2230	75	33	network	network	NOUN
bjmsr-2230	75	34	(	(	PUNCT
bjmsr-2230	75	35	dnn	dnn	PROPN
bjmsr-2230	75	36	)	)	PUNCT
bjmsr-2230	75	37	that	that	PRON
bjmsr-2230	75	38	has	have	AUX
bjmsr-2230	75	39	shown	show	VERB
bjmsr-2230	75	40	99.19	99.19	NUM
bjmsr-2230	75	41	%	%	NOUN
bjmsr-2230	75	42	accuracy	accuracy	NOUN
bjmsr-2230	75	43	.	.	PUNCT
bjmsr-2230	76	1	the	the	DET
bjmsr-2230	76	2	performance	performance	NOUN
bjmsr-2230	76	3	of	of	ADP
bjmsr-2230	76	4	lstm+dnn	lstm+dnn	NOUN
bjmsr-2230	76	5	is	be	AUX
bjmsr-2230	76	6	compared	compare	VERB
bjmsr-2230	76	7	with	with	ADP
bjmsr-2230	76	8	knn	knn	PROPN
bjmsr-2230	76	9	,	,	PUNCT
bjmsr-2230	76	10	svm	svm	PROPN
bjmsr-2230	76	11	,	,	PUNCT
bjmsr-2230	76	12	and	and	CCONJ
bjmsr-2230	76	13	random	random	ADJ
bjmsr-2230	76	14	forest	forest	NOUN
bjmsr-2230	76	15	classifiers	classifier	NOUN
bjmsr-2230	76	16	.	.	PUNCT
bjmsr-2230	77	1	x.	x.	PROPN
bjmsr-2230	77	2	liu	liu	PROPN
bjmsr-2230	77	3	et	et	PROPN
bjmsr-2230	77	4	al	al	PROPN
bjmsr-2230	77	5	.	.	PROPN
bjmsr-2230	78	1	(	(	PUNCT
bjmsr-2230	78	2	2017	2017	NUM
bjmsr-2230	78	3	)	)	PUNCT
bjmsr-2230	78	4	proposed	propose	VERB
bjmsr-2230	78	5	a	a	DET
bjmsr-2230	78	6	mer	mer	NOUN
bjmsr-2230	78	7	method	method	NOUN
bjmsr-2230	78	8	using	use	VERB
bjmsr-2230	78	9	a	a	DET
bjmsr-2230	78	10	deep	deep	ADJ
bjmsr-2230	78	11	convolutional	convolutional	ADJ
bjmsr-2230	78	12	neural	neural	ADJ
bjmsr-2230	78	13	network	network	NOUN
bjmsr-2230	78	14	(	(	PUNCT
bjmsr-2230	78	15	aziz	aziz	PROPN
bjmsr-2230	78	16	,	,	PUNCT
bjmsr-2230	78	17	2020	2020	NUM
bjmsr-2230	78	18	)	)	PUNCT
bjmsr-2230	78	19	.	.	PUNCT
bjmsr-2230	79	1	and	and	CCONJ
bjmsr-2230	79	2	performed	perform	VERB
bjmsr-2230	79	3	the	the	DET
bjmsr-2230	79	4	experiment	experiment	NOUN
bjmsr-2230	79	5	on	on	ADP
bjmsr-2230	79	6	the	the	DET
bjmsr-2230	79	7	standard	standard	ADJ
bjmsr-2230	79	8	cal500	cal500	NOUN
bjmsr-2230	79	9	and	and	CCONJ
bjmsr-2230	79	10	cal500exp	cal500exp	PROPN
bjmsr-2230	79	11	datasets	dataset	NOUN
bjmsr-2230	79	12	.	.	PUNCT
bjmsr-2230	80	1	additional	additional	ADJ
bjmsr-2230	80	2	effort	effort	NOUN
bjmsr-2230	80	3	on	on	ADP
bjmsr-2230	80	4	extracting	extract	VERB
bjmsr-2230	80	5	specific	specific	ADJ
bjmsr-2230	80	6	features	feature	NOUN
bjmsr-2230	80	7	is	be	AUX
bjmsr-2230	80	8	optional	optional	ADJ
bjmsr-2230	80	9	in	in	ADP
bjmsr-2230	80	10	their	their	PRON
bjmsr-2230	80	11	model	model	NOUN
bjmsr-2230	80	12	as	as	SCONJ
bjmsr-2230	80	13	it	it	PRON
bjmsr-2230	80	14	is	be	AUX
bjmsr-2230	80	15	included	include	VERB
bjmsr-2230	80	16	in	in	ADP
bjmsr-2230	80	17	the	the	DET
bjmsr-2230	80	18	training	training	NOUN
bjmsr-2230	80	19	procedure	procedure	NOUN
bjmsr-2230	80	20	of	of	ADP
bjmsr-2230	80	21	the	the	DET
bjmsr-2230	80	22	cnn	cnn	PROPN
bjmsr-2230	80	23	model	model	NOUN
bjmsr-2230	80	24	.	.	PUNCT
bjmsr-2230	81	1	he	he	PRON
bjmsr-2230	81	2	and	and	CCONJ
bjmsr-2230	81	3	ferguson	ferguson	PROPN
bjmsr-2230	81	4	(	(	PUNCT
bjmsr-2230	81	5	2022	2022	NUM
bjmsr-2230	81	6	)	)	PUNCT
bjmsr-2230	81	7	adopted	adopt	VERB
bjmsr-2230	81	8	va	va	PROPN
bjmsr-2230	81	9	model	model	NOUN
bjmsr-2230	81	10	to	to	ADP
bjmsr-2230	81	11	experiment	experiment	NOUN
bjmsr-2230	81	12	using	use	VERB
bjmsr-2230	81	13	bidirectional	bidirectional	ADJ
bjmsr-2230	81	14	lstm	lstm	PROPN
bjmsr-2230	81	15	model	model	NOUN
bjmsr-2230	81	16	to	to	PART
bjmsr-2230	81	17	predict	predict	VERB
bjmsr-2230	81	18	emotion	emotion	NOUN
bjmsr-2230	81	19	for	for	ADP
bjmsr-2230	81	20	the	the	DET
bjmsr-2230	81	21	music	music	NOUN
bjmsr-2230	81	22	excerpt	excerpt	NOUN
bjmsr-2230	81	23	.	.	PUNCT
bjmsr-2230	82	1	aljanaki	aljanaki	PROPN
bjmsr-2230	82	2	et	et	PROPN
bjmsr-2230	82	3	al	al	PROPN
bjmsr-2230	82	4	.	.	PROPN
bjmsr-2230	83	1	(	(	PUNCT
bjmsr-2230	83	2	2017	2017	NUM
bjmsr-2230	83	3	)	)	PUNCT
bjmsr-2230	83	4	developed	develop	VERB
bjmsr-2230	83	5	a	a	DET
bjmsr-2230	83	6	new	new	ADJ
bjmsr-2230	83	7	music	music	NOUN
bjmsr-2230	83	8	dataset	dataset	NOUN
bjmsr-2230	83	9	,	,	PUNCT
bjmsr-2230	83	10	mediaeval	mediaeval	ADJ
bjmsr-2230	83	11	database	database	NOUN
bjmsr-2230	83	12	for	for	ADP
bjmsr-2230	83	13	emotional	emotional	ADJ
bjmsr-2230	83	14	analysis	analysis	NOUN
bjmsr-2230	83	15	in	in	ADP
bjmsr-2230	83	16	music	music	NOUN
bjmsr-2230	83	17	(	(	PUNCT
bjmsr-2230	83	18	deam	deam	PROPN
bjmsr-2230	83	19	)	)	PUNCT
bjmsr-2230	83	20	,	,	PUNCT
bjmsr-2230	83	21	one	one	NUM
bjmsr-2230	83	22	of	of	ADP
bjmsr-2230	83	23	the	the	DET
bjmsr-2230	83	24	most	most	ADV
bjmsr-2230	83	25	extensive	extensive	ADJ
bjmsr-2230	83	26	datasets	dataset	NOUN
bjmsr-2230	83	27	of	of	ADP
bjmsr-2230	83	28	dynamic	dynamic	ADJ
bjmsr-2230	83	29	annotation	annotation	NOUN
bjmsr-2230	83	30	consisting	consist	VERB
bjmsr-2230	83	31	of	of	ADP
bjmsr-2230	83	32	1,802	1,802	NUM
bjmsr-2230	83	33	excerpts	excerpt	NOUN
bjmsr-2230	83	34	.	.	PUNCT
bjmsr-2230	84	1	de	de	X
bjmsr-2230	84	2	benito	benito	PROPN
bjmsr-2230	84	3	-	-	NOUN
bjmsr-2230	84	4	gorron	gorron	NOUN
bjmsr-2230	84	5	et	et	PROPN
bjmsr-2230	84	6	al	al	PROPN
bjmsr-2230	84	7	.	.	PROPN
bjmsr-2230	85	1	(	(	PUNCT
bjmsr-2230	85	2	2019	2019	NUM
bjmsr-2230	85	3	)	)	PUNCT
bjmsr-2230	85	4	used	use	VERB
bjmsr-2230	85	5	the	the	DET
bjmsr-2230	85	6	google	google	PROPN
bjmsr-2230	85	7	audioset	audioset	NOUN
bjmsr-2230	85	8	dataset	dataset	VERB
bjmsr-2230	85	9	for	for	ADP
bjmsr-2230	85	10	speech	speech	NOUN
bjmsr-2230	85	11	and	and	CCONJ
bjmsr-2230	85	12	music	music	NOUN
bjmsr-2230	85	13	event	event	NOUN
bjmsr-2230	85	14	detection	detection	NOUN
bjmsr-2230	85	15	,	,	PUNCT
bjmsr-2230	85	16	classified	classify	VERB
bjmsr-2230	85	17	using	use	VERB
bjmsr-2230	85	18	convolutional	convolutional	ADJ
bjmsr-2230	85	19	and	and	CCONJ
bjmsr-2230	85	20	lstm	lstm	ADJ
bjmsr-2230	85	21	recurrent	recurrent	NOUN
bjmsr-2230	85	22	networks	network	NOUN
bjmsr-2230	85	23	that	that	PRON
bjmsr-2230	85	24	have	have	AUX
bjmsr-2230	85	25	produced	produce	VERB
bjmsr-2230	85	26	an	an	DET
bjmsr-2230	85	27	accuracy	accuracy	NOUN
bjmsr-2230	85	28	of	of	ADP
bjmsr-2230	85	29	85	85	NUM
bjmsr-2230	85	30	%	%	NOUN
bjmsr-2230	85	31	.	.	PUNCT
bjmsr-2230	86	1	a	a	DET
bjmsr-2230	86	2	database	database	NOUN
bjmsr-2230	86	3	amg1608	amg1608	NOUN
bjmsr-2230	86	4	created	create	VERB
bjmsr-2230	86	5	by	by	ADP
bjmsr-2230	86	6	chen	chen	PROPN
bjmsr-2230	86	7	et	et	PROPN
bjmsr-2230	86	8	al	al	PROPN
bjmsr-2230	86	9	.	.	PROPN
bjmsr-2230	87	1	(	(	PUNCT
bjmsr-2230	87	2	2015	2015	NUM
bjmsr-2230	87	3	)	)	PUNCT
bjmsr-2230	87	4	contains	contain	VERB
bjmsr-2230	87	5	1,608	1,608	NUM
bjmsr-2230	87	6	songs	song	NOUN
bjmsr-2230	87	7	annotated	annotate	VERB
bjmsr-2230	87	8	by	by	ADP
bjmsr-2230	87	9	665	665	NUM
bjmsr-2230	87	10	subjects	subject	NOUN
bjmsr-2230	87	11	and	and	CCONJ
bjmsr-2230	87	12	represents	represent	VERB
bjmsr-2230	87	13	the	the	DET
bjmsr-2230	87	14	emotion	emotion	NOUN
bjmsr-2230	87	15	in	in	ADP
bjmsr-2230	87	16	valence	valence	NOUN
bjmsr-2230	87	17	and	and	CCONJ
bjmsr-2230	87	18	arousal	arousal	NOUN
bjmsr-2230	87	19	.	.	PUNCT
bjmsr-2230	88	1	soleymani	soleymani	PROPN
bjmsr-2230	88	2	et	et	PROPN
bjmsr-2230	88	3	al	al	PROPN
bjmsr-2230	88	4	.	.	PROPN
bjmsr-2230	89	1	(	(	PUNCT
bjmsr-2230	89	2	2013	2013	NUM
bjmsr-2230	89	3	)	)	PUNCT
bjmsr-2230	89	4	also	also	ADV
bjmsr-2230	89	5	collected	collect	VERB
bjmsr-2230	89	6	a	a	DET
bjmsr-2230	89	7	large	large	ADJ
bjmsr-2230	89	8	emotional	emotional	ADJ
bjmsr-2230	89	9	database	database	NOUN
bjmsr-2230	89	10	that	that	PRON
bjmsr-2230	89	11	consisted	consist	VERB
bjmsr-2230	89	12	of	of	ADP
bjmsr-2230	89	13	1000	1000	NUM
bjmsr-2230	89	14	song	song	NOUN
bjmsr-2230	89	15	samples	sample	NOUN
bjmsr-2230	89	16	.	.	PUNCT
bjmsr-2230	90	1	moodswing	moodswe	VERB
bjmsr-2230	90	2	dataset	dataset	NOUN
bjmsr-2230	90	3	,	,	PUNCT
bjmsr-2230	90	4	developed	develop	VERB
bjmsr-2230	90	5	by	by	ADP
bjmsr-2230	90	6	schmidt	schmidt	PROPN
bjmsr-2230	90	7	et	et	PROPN
bjmsr-2230	90	8	al	al	PROPN
bjmsr-2230	90	9	.	.	PROPN
bjmsr-2230	91	1	(	(	PUNCT
bjmsr-2230	91	2	2010	2010	NUM
bjmsr-2230	91	3	)	)	PUNCT
bjmsr-2230	91	4	,	,	PUNCT
bjmsr-2230	91	5	contains	contain	VERB
bjmsr-2230	91	6	240	240	NUM
bjmsr-2230	91	7	segments	segment	NOUN
bjmsr-2230	91	8	of	of	ADP
bjmsr-2230	91	9	us	us	PROPN
bjmsr-2230	91	10	pop	pop	NOUN
bjmsr-2230	91	11	songs	song	NOUN
bjmsr-2230	91	12	,	,	PUNCT
bjmsr-2230	91	13	each	each	DET
bjmsr-2230	91	14	lasting	last	VERB
bjmsr-2230	91	15	15	15	NUM
bjmsr-2230	91	16	seconds	second	NOUN
bjmsr-2230	91	17	.	.	PUNCT
bjmsr-2230	92	1	the	the	DET
bjmsr-2230	92	2	dataset	dataset	NOUN
bjmsr-2230	92	3	is	be	AUX
bjmsr-2230	92	4	annotated	annotate	VERB
bjmsr-2230	92	5	with	with	ADP
bjmsr-2230	92	6	valence	valence	NOUN
bjmsr-2230	92	7	-	-	PUNCT
bjmsr-2230	92	8	arousal	arousal	NOUN
bjmsr-2230	92	9	(	(	PUNCT
bjmsr-2230	92	10	va	va	NOUN
bjmsr-2230	92	11	)	)	PUNCT
bjmsr-2230	92	12	annotations	annotation	NOUN
bjmsr-2230	92	13	per	per	ADP
bjmsr-2230	92	14	second	second	ADJ
bjmsr-2230	92	15	.	.	PUNCT
bjmsr-2230	93	1	svm	svm	PROPN
bjmsr-2230	93	2	,	,	PUNCT
bjmsr-2230	93	3	knn	knn	PROPN
bjmsr-2230	93	4	,	,	PUNCT
bjmsr-2230	93	5	and	and	CCONJ
bjmsr-2230	93	6	ann	ann	PROPN
bjmsr-2230	93	7	classifiers	classifier	NOUN
bjmsr-2230	93	8	are	be	AUX
bjmsr-2230	93	9	used	use	VERB
bjmsr-2230	93	10	by	by	ADP
bjmsr-2230	93	11	er	er	INTJ
bjmsr-2230	93	12	and	and	CCONJ
bjmsr-2230	93	13	esin	esin	PROPN
bjmsr-2230	93	14	(	(	PUNCT
bjmsr-2230	93	15	2021	2021	NUM
bjmsr-2230	93	16	)	)	PUNCT
bjmsr-2230	93	17	to	to	PART
bjmsr-2230	93	18	test	test	VERB
bjmsr-2230	93	19	their	their	PRON
bjmsr-2230	93	20	model	model	NOUN
bjmsr-2230	93	21	on	on	ADP
bjmsr-2230	93	22	a	a	DET
bjmsr-2230	93	23	new	new	ADJ
bjmsr-2230	93	24	4	4	NUM
bjmsr-2230	93	25	-	-	PUNCT
bjmsr-2230	93	26	class	class	NOUN
bjmsr-2230	93	27	turkish	turkish	ADJ
bjmsr-2230	93	28	music	music	NOUN
bjmsr-2230	93	29	dataset	dataset	VERB
bjmsr-2230	93	30	for	for	ADP
bjmsr-2230	93	31	music	music	NOUN
bjmsr-2230	93	32	emotion	emotion	NOUN
bjmsr-2230	93	33	recognition	recognition	NOUN
bjmsr-2230	93	34	.	.	PUNCT
bjmsr-2230	94	1	materials	material	NOUN
bjmsr-2230	94	2	and	and	CCONJ
bjmsr-2230	94	3	methods	method	NOUN
bjmsr-2230	94	4	the	the	DET
bjmsr-2230	94	5	architecture	architecture	NOUN
bjmsr-2230	94	6	adopted	adopt	VERB
bjmsr-2230	94	7	for	for	ADP
bjmsr-2230	94	8	the	the	DET
bjmsr-2230	94	9	proposed	propose	VERB
bjmsr-2230	94	10	mer	mer	NOUN
bjmsr-2230	94	11	has	have	AUX
bjmsr-2230	94	12	been	be	AUX
bjmsr-2230	94	13	depicted	depict	VERB
bjmsr-2230	94	14	in	in	ADP
bjmsr-2230	94	15	figure	figure	NOUN
bjmsr-2230	94	16	1	1	NUM
bjmsr-2230	94	17	.	.	PUNCT
bjmsr-2230	95	1	dutta	dutta	PROPN
bjmsr-2230	95	2	&	&	CCONJ
bjmsr-2230	95	3	chanda	chanda	PROPN
bjmsr-2230	95	4	,	,	PUNCT
bjmsr-2230	95	5	bangladesh	bangladesh	PROPN
bjmsr-2230	95	6	journal	journal	NOUN
bjmsr-2230	95	7	of	of	ADP
bjmsr-2230	95	8	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	95	9	scientific	scientific	ADJ
bjmsr-2230	95	10	research	research	NOUN
bjmsr-2230	95	11	9(3	9(3	NUM
bjmsr-2230	95	12	)	)	PUNCT
bjmsr-2230	95	13	(	(	PUNCT
bjmsr-2230	95	14	2024	2024	NUM
bjmsr-2230	95	15	)	)	PUNCT
bjmsr-2230	95	16	,	,	PUNCT
bjmsr-2230	95	17	21	21	NUM
bjmsr-2230	95	18	-	-	SYM
bjmsr-2230	95	19	32	32	NUM
bjmsr-2230	95	20	23	23	NUM
bjmsr-2230	95	21	figure	figure	NOUN
bjmsr-2230	95	22	1	1	NUM
bjmsr-2230	95	23	.	.	PUNCT
bjmsr-2230	95	24	mer	mer	PROPN
bjmsr-2230	95	25	block	block	PROPN
bjmsr-2230	95	26	diagram	diagram	NOUN
bjmsr-2230	95	27	of	of	ADP
bjmsr-2230	95	28	the	the	DET
bjmsr-2230	95	29	proposed	propose	VERB
bjmsr-2230	95	30	model	model	NOUN
bjmsr-2230	95	31	the	the	DET
bjmsr-2230	95	32	song	song	NOUN
bjmsr-2230	95	33	databases	database	NOUN
bjmsr-2230	95	34	used	use	VERB
bjmsr-2230	95	35	in	in	ADP
bjmsr-2230	95	36	our	our	PRON
bjmsr-2230	95	37	work	work	NOUN
bjmsr-2230	95	38	are	be	AUX
bjmsr-2230	95	39	as	as	SCONJ
bjmsr-2230	95	40	follows	follow	VERB
bjmsr-2230	95	41	:	:	PUNCT
bjmsr-2230	95	42	ravdess	ravdess	NOUN
bjmsr-2230	95	43	song	song	NOUN
bjmsr-2230	95	44	database	database	NOUN
bjmsr-2230	95	45	:	:	PUNCT
bjmsr-2230	95	46	the	the	DET
bjmsr-2230	95	47	ryerson	ryerson	NOUN
bjmsr-2230	95	48	audio	audio	ADJ
bjmsr-2230	95	49	-	-	ADJ
bjmsr-2230	95	50	visual	visual	ADJ
bjmsr-2230	95	51	database	database	NOUN
bjmsr-2230	95	52	of	of	ADP
bjmsr-2230	95	53	emotional	emotional	ADJ
bjmsr-2230	95	54	speech	speech	NOUN
bjmsr-2230	95	55	and	and	CCONJ
bjmsr-2230	95	56	song	song	NOUN
bjmsr-2230	95	57	(	(	PUNCT
bjmsr-2230	95	58	ravdess	ravdess	NOUN
bjmsr-2230	95	59	)	)	PUNCT
bjmsr-2230	95	60	database	database	NOUN
bjmsr-2230	95	61	is	be	AUX
bjmsr-2230	95	62	used	use	VERB
bjmsr-2230	95	63	to	to	PART
bjmsr-2230	95	64	illustrate	illustrate	VERB
bjmsr-2230	95	65	the	the	DET
bjmsr-2230	95	66	study	study	NOUN
bjmsr-2230	95	67	.	.	PUNCT
bjmsr-2230	96	1	the	the	DET
bjmsr-2230	96	2	ravdess	ravdess	NOUN
bjmsr-2230	96	3	database	database	NOUN
bjmsr-2230	96	4	consists	consist	VERB
bjmsr-2230	96	5	of	of	ADP
bjmsr-2230	96	6	both	both	CCONJ
bjmsr-2230	96	7	emotional	emotional	ADJ
bjmsr-2230	96	8	speech	speech	NOUN
bjmsr-2230	96	9	and	and	CCONJ
bjmsr-2230	96	10	song	song	NOUN
bjmsr-2230	96	11	samples	sample	NOUN
bjmsr-2230	96	12	.	.	PUNCT
bjmsr-2230	97	1	it	it	PRON
bjmsr-2230	97	2	consists	consist	VERB
bjmsr-2230	97	3	of	of	ADP
bjmsr-2230	97	4	24	24	NUM
bjmsr-2230	97	5	professional	professional	ADJ
bjmsr-2230	97	6	actors	actor	NOUN
bjmsr-2230	97	7	(	(	PUNCT
bjmsr-2230	97	8	12	12	NUM
bjmsr-2230	97	9	male	male	NOUN
bjmsr-2230	97	10	and	and	CCONJ
bjmsr-2230	97	11	12	12	NUM
bjmsr-2230	97	12	female	female	NOUN
bjmsr-2230	97	13	)	)	PUNCT
bjmsr-2230	97	14	and	and	CCONJ
bjmsr-2230	97	15	is	be	AUX
bjmsr-2230	97	16	recorded	record	VERB
bjmsr-2230	97	17	in	in	ADP
bjmsr-2230	97	18	a	a	DET
bjmsr-2230	97	19	north	north	NOUN
bjmsr-2230	97	20	american	american	PROPN
bjmsr-2230	97	21	accent	accent	PROPN
bjmsr-2230	97	22	.	.	PUNCT
bjmsr-2230	98	1	song	song	NOUN
bjmsr-2230	98	2	samples	sample	NOUN
bjmsr-2230	98	3	contain	contain	VERB
bjmsr-2230	98	4	six	six	NUM
bjmsr-2230	98	5	emotions	emotion	NOUN
bjmsr-2230	98	6	:	:	PUNCT
bjmsr-2230	98	7	happy	happy	ADJ
bjmsr-2230	98	8	,	,	PUNCT
bjmsr-2230	98	9	sad	sad	ADJ
bjmsr-2230	98	10	,	,	PUNCT
bjmsr-2230	98	11	angry	angry	ADJ
bjmsr-2230	98	12	,	,	PUNCT
bjmsr-2230	98	13	calm	calm	ADJ
bjmsr-2230	98	14	,	,	PUNCT
bjmsr-2230	98	15	fearful	fearful	ADJ
bjmsr-2230	98	16	,	,	PUNCT
bjmsr-2230	98	17	and	and	CCONJ
bjmsr-2230	98	18	neutral	neutral	ADJ
bjmsr-2230	98	19	(	(	PUNCT
bjmsr-2230	98	20	no	no	DET
bjmsr-2230	98	21	song	song	ADJ
bjmsr-2230	98	22	file	file	NOUN
bjmsr-2230	98	23	of	of	ADP
bjmsr-2230	98	24	actor	actor	NOUN
bjmsr-2230	98	25	18	18	NUM
bjmsr-2230	98	26	)	)	PUNCT
bjmsr-2230	98	27	.	.	PUNCT
bjmsr-2230	99	1	our	our	PRON
bjmsr-2230	99	2	work	work	NOUN
bjmsr-2230	99	3	uses	use	VERB
bjmsr-2230	99	4	the	the	DET
bjmsr-2230	99	5	ravdess	ravdess	NOUN
bjmsr-2230	99	6	song	song	NOUN
bjmsr-2230	99	7	database	database	NOUN
bjmsr-2230	99	8	comprising	comprise	VERB
bjmsr-2230	99	9	1012	1012	NUM
bjmsr-2230	99	10	song	song	NOUN
bjmsr-2230	99	11	samples	sample	NOUN
bjmsr-2230	99	12	(	(	PUNCT
bjmsr-2230	99	13	livingstone	livingstone	PROPN
bjmsr-2230	99	14	&	&	CCONJ
bjmsr-2230	99	15	russo	russo	PROPN
bjmsr-2230	99	16	,	,	PUNCT
bjmsr-2230	99	17	2018	2018	NUM
bjmsr-2230	99	18	)	)	PUNCT
bjmsr-2230	99	19	.	.	PUNCT
bjmsr-2230	100	1	calm	calm	ADJ
bjmsr-2230	100	2	,	,	PUNCT
bjmsr-2230	100	3	happy	happy	ADJ
bjmsr-2230	100	4	,	,	PUNCT
bjmsr-2230	100	5	sad	sad	ADJ
bjmsr-2230	100	6	,	,	PUNCT
bjmsr-2230	100	7	angry	angry	ADJ
bjmsr-2230	100	8	,	,	PUNCT
bjmsr-2230	100	9	and	and	CCONJ
bjmsr-2230	100	10	fearful	fearful	ADJ
bjmsr-2230	100	11	emotions	emotion	NOUN
bjmsr-2230	100	12	were	be	AUX
bjmsr-2230	100	13	recorded	record	VERB
bjmsr-2230	100	14	with	with	ADP
bjmsr-2230	100	15	two	two	NUM
bjmsr-2230	100	16	levels	level	NOUN
bjmsr-2230	100	17	of	of	ADP
bjmsr-2230	100	18	expression	expression	NOUN
bjmsr-2230	100	19	:	:	PUNCT
bjmsr-2230	100	20	strong	strong	ADJ
bjmsr-2230	100	21	and	and	CCONJ
bjmsr-2230	100	22	normal	normal	ADJ
bjmsr-2230	100	23	,	,	PUNCT
bjmsr-2230	100	24	except	except	SCONJ
bjmsr-2230	100	25	for	for	ADP
bjmsr-2230	100	26	the	the	DET
bjmsr-2230	100	27	neutral	neutral	ADJ
bjmsr-2230	100	28	emotion	emotion	NOUN
bjmsr-2230	100	29	.	.	PUNCT
bjmsr-2230	101	1	neutral	neutral	ADJ
bjmsr-2230	101	2	emotion	emotion	NOUN
bjmsr-2230	101	3	was	be	AUX
bjmsr-2230	101	4	recorded	record	VERB
bjmsr-2230	101	5	in	in	ADP
bjmsr-2230	101	6	normal	normal	ADJ
bjmsr-2230	101	7	expression	expression	NOUN
bjmsr-2230	101	8	only	only	ADV
bjmsr-2230	101	9	.	.	PUNCT
bjmsr-2230	102	1	each	each	DET
bjmsr-2230	102	2	sentence	sentence	NOUN
bjmsr-2230	102	3	sample	sample	NOUN
bjmsr-2230	102	4	had	have	VERB
bjmsr-2230	102	5	two	two	NUM
bjmsr-2230	102	6	repetitions	repetition	NOUN
bjmsr-2230	102	7	(	(	PUNCT
bjmsr-2230	102	8	livingstone	livingstone	PROPN
bjmsr-2230	102	9	&	&	CCONJ
bjmsr-2230	102	10	russo	russo	PROPN
bjmsr-2230	102	11	,	,	PUNCT
bjmsr-2230	102	12	2018	2018	NUM
bjmsr-2230	102	13	)	)	PUNCT
bjmsr-2230	102	14	.	.	PUNCT
bjmsr-2230	103	1	assamese	assamese	PROPN
bjmsr-2230	103	2	song	song	NOUN
bjmsr-2230	103	3	database	database	NOUN
bjmsr-2230	103	4	:	:	PUNCT
bjmsr-2230	103	5	in	in	ADP
bjmsr-2230	103	6	the	the	DET
bjmsr-2230	103	7	proposed	propose	VERB
bjmsr-2230	103	8	work	work	NOUN
bjmsr-2230	103	9	,	,	PUNCT
bjmsr-2230	103	10	a	a	DET
bjmsr-2230	103	11	newly	newly	ADV
bjmsr-2230	103	12	created	create	VERB
bjmsr-2230	103	13	assamese	assamese	ADJ
bjmsr-2230	103	14	song	song	NOUN
bjmsr-2230	103	15	database	database	NOUN
bjmsr-2230	103	16	is	be	AUX
bjmsr-2230	103	17	used	use	VERB
bjmsr-2230	103	18	,	,	PUNCT
bjmsr-2230	103	19	collected	collect	VERB
bjmsr-2230	103	20	from	from	ADP
bjmsr-2230	103	21	five	five	NUM
bjmsr-2230	103	22	well	well	ADV
bjmsr-2230	103	23	-	-	PUNCT
bjmsr-2230	103	24	known	know	VERB
bjmsr-2230	103	25	singers	singer	NOUN
bjmsr-2230	103	26	of	of	ADP
bjmsr-2230	103	27	assam	assam	PROPN
bjmsr-2230	103	28	.	.	PUNCT
bjmsr-2230	104	1	based	base	VERB
bjmsr-2230	104	2	on	on	ADP
bjmsr-2230	104	3	selecting	select	VERB
bjmsr-2230	104	4	songs	song	NOUN
bjmsr-2230	104	5	with	with	ADP
bjmsr-2230	104	6	different	different	ADJ
bjmsr-2230	104	7	emotions	emotion	NOUN
bjmsr-2230	104	8	,	,	PUNCT
bjmsr-2230	104	9	pre	pre	ADJ
bjmsr-2230	104	10	-	-	ADJ
bjmsr-2230	104	11	processing	processing	NOUN
bjmsr-2230	104	12	is	be	AUX
bjmsr-2230	104	13	performed	perform	VERB
bjmsr-2230	104	14	using	use	VERB
bjmsr-2230	104	15	audacity	audacity	NOUN
bjmsr-2230	104	16	software	software	NOUN
bjmsr-2230	104	17	,	,	PUNCT
bjmsr-2230	104	18	where	where	SCONJ
bjmsr-2230	104	19	different	different	ADJ
bjmsr-2230	104	20	emotions	emotion	NOUN
bjmsr-2230	104	21	in	in	ADP
bjmsr-2230	104	22	the	the	DET
bjmsr-2230	104	23	lyrics	lyric	NOUN
bjmsr-2230	104	24	are	be	AUX
bjmsr-2230	104	25	considered	consider	VERB
bjmsr-2230	104	26	and	and	CCONJ
bjmsr-2230	104	27	separate	separate	VERB
bjmsr-2230	104	28	the	the	DET
bjmsr-2230	104	29	singer	singer	NOUN
bjmsr-2230	104	30	's	's	PART
bjmsr-2230	104	31	voice	voice	NOUN
bjmsr-2230	104	32	from	from	ADP
bjmsr-2230	104	33	the	the	DET
bjmsr-2230	104	34	instrumental	instrumental	ADJ
bjmsr-2230	104	35	part	part	NOUN
bjmsr-2230	104	36	.	.	PUNCT
bjmsr-2230	105	1	the	the	DET
bjmsr-2230	105	2	dataset	dataset	NOUN
bjmsr-2230	105	3	contains	contain	VERB
bjmsr-2230	105	4	200	200	NUM
bjmsr-2230	105	5	song	song	NOUN
bjmsr-2230	105	6	samples	sample	NOUN
bjmsr-2230	105	7	with	with	ADP
bjmsr-2230	105	8	both	both	CCONJ
bjmsr-2230	105	9	male	male	ADJ
bjmsr-2230	105	10	and	and	CCONJ
bjmsr-2230	105	11	female	female	ADJ
bjmsr-2230	105	12	singers	singer	NOUN
bjmsr-2230	105	13	,	,	PUNCT
bjmsr-2230	105	14	and	and	CCONJ
bjmsr-2230	105	15	each	each	DET
bjmsr-2230	105	16	input	input	NOUN
bjmsr-2230	105	17	audio	audio	NOUN
bjmsr-2230	105	18	sample	sample	NOUN
bjmsr-2230	105	19	is	be	AUX
bjmsr-2230	105	20	5	5	NUM
bjmsr-2230	105	21	seconds	second	NOUN
bjmsr-2230	105	22	long	long	ADJ
bjmsr-2230	105	23	.	.	PUNCT
bjmsr-2230	106	1	the	the	DET
bjmsr-2230	106	2	samples	sample	NOUN
bjmsr-2230	106	3	contain	contain	VERB
bjmsr-2230	106	4	four	four	NUM
bjmsr-2230	106	5	emotions	emotion	NOUN
bjmsr-2230	106	6	namely	namely	ADV
bjmsr-2230	106	7	calm	calm	ADJ
bjmsr-2230	106	8	,	,	PUNCT
bjmsr-2230	106	9	happy	happy	ADJ
bjmsr-2230	106	10	,	,	PUNCT
bjmsr-2230	106	11	neutral	neutral	ADJ
bjmsr-2230	106	12	,	,	PUNCT
bjmsr-2230	106	13	and	and	CCONJ
bjmsr-2230	106	14	sad	sad	ADJ
bjmsr-2230	106	15	.	.	PUNCT
bjmsr-2230	106	16	table	table	NOUN
bjmsr-2230	106	17	1	1	NUM
bjmsr-2230	106	18	indicates	indicate	VERB
bjmsr-2230	106	19	the	the	DET
bjmsr-2230	106	20	types	type	NOUN
bjmsr-2230	106	21	of	of	ADP
bjmsr-2230	106	22	emotions	emotion	NOUN
bjmsr-2230	106	23	with	with	ADP
bjmsr-2230	106	24	their	their	PRON
bjmsr-2230	106	25	properties	property	NOUN
bjmsr-2230	106	26	.	.	PUNCT
bjmsr-2230	107	1	table	table	NOUN
bjmsr-2230	107	2	1	1	NUM
bjmsr-2230	107	3	.	.	PUNCT
bjmsr-2230	107	4	types	type	NOUN
bjmsr-2230	107	5	of	of	ADP
bjmsr-2230	107	6	emotions	emotion	NOUN
bjmsr-2230	107	7	and	and	CCONJ
bjmsr-2230	107	8	their	their	PRON
bjmsr-2230	107	9	properties	property	NOUN
bjmsr-2230	107	10	emotion	emotion	VERB
bjmsr-2230	107	11	description/	description/	NUM
bjmsr-2230	107	12	properties	property	NOUN
bjmsr-2230	107	13	signal	signal	VERB
bjmsr-2230	107	14	happy	happy	ADJ
bjmsr-2230	107	15	the	the	DET
bjmsr-2230	107	16	pitch	pitch	NOUN
bjmsr-2230	107	17	value	value	NOUN
bjmsr-2230	107	18	is	be	AUX
bjmsr-2230	107	19	high	high	ADJ
bjmsr-2230	107	20	.	.	PUNCT
bjmsr-2230	108	1	sad	sad	ADJ
bjmsr-2230	108	2	the	the	DET
bjmsr-2230	108	3	pitch	pitch	NOUN
bjmsr-2230	108	4	value	value	NOUN
bjmsr-2230	108	5	is	be	AUX
bjmsr-2230	108	6	low	low	ADJ
bjmsr-2230	108	7	.	.	PUNCT
bjmsr-2230	109	1	dutta	dutta	PROPN
bjmsr-2230	109	2	&	&	CCONJ
bjmsr-2230	109	3	chanda	chanda	PROPN
bjmsr-2230	109	4	,	,	PUNCT
bjmsr-2230	109	5	bangladesh	bangladesh	PROPN
bjmsr-2230	109	6	journal	journal	NOUN
bjmsr-2230	109	7	of	of	ADP
bjmsr-2230	109	8	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	109	9	scientific	scientific	ADJ
bjmsr-2230	109	10	research	research	NOUN
bjmsr-2230	109	11	9(3	9(3	NUM
bjmsr-2230	109	12	)	)	PUNCT
bjmsr-2230	109	13	(	(	PUNCT
bjmsr-2230	109	14	2024	2024	NUM
bjmsr-2230	109	15	)	)	PUNCT
bjmsr-2230	109	16	,	,	PUNCT
bjmsr-2230	109	17	21	21	NUM
bjmsr-2230	109	18	-	-	SYM
bjmsr-2230	109	19	32	32	NUM
bjmsr-2230	109	20	24	24	NUM
bjmsr-2230	109	21	angry	angry	ADJ
bjmsr-2230	109	22	high	high	ADJ
bjmsr-2230	109	23	-	-	PUNCT
bjmsr-2230	109	24	intensity	intensity	NOUN
bjmsr-2230	109	25	value	value	NOUN
bjmsr-2230	109	26	.	.	PUNCT
bjmsr-2230	110	1	calm	calm	ADJ
bjmsr-2230	110	2	audio	audio	NOUN
bjmsr-2230	110	3	with	with	ADP
bjmsr-2230	110	4	calm	calm	ADJ
bjmsr-2230	110	5	remains	remain	VERB
bjmsr-2230	110	6	uniform	uniform	ADJ
bjmsr-2230	110	7	neutral	neutral	ADJ
bjmsr-2230	110	8	audio	audio	NOUN
bjmsr-2230	110	9	without	without	ADP
bjmsr-2230	110	10	any	any	DET
bjmsr-2230	110	11	emotion	emotion	NOUN
bjmsr-2230	110	12	is	be	AUX
bjmsr-2230	110	13	neutral	neutral	ADJ
bjmsr-2230	110	14	.	.	PUNCT
bjmsr-2230	111	1	fearful	fearful	ADJ
bjmsr-2230	111	2	fear	fear	NOUN
bjmsr-2230	111	3	is	be	AUX
bjmsr-2230	111	4	considered	consider	VERB
bjmsr-2230	111	5	as	as	ADP
bjmsr-2230	111	6	a	a	DET
bjmsr-2230	111	7	negative	negative	ADJ
bjmsr-2230	111	8	emotion	emotion	NOUN
bjmsr-2230	111	9	.	.	PUNCT
bjmsr-2230	112	1	not	not	PART
bjmsr-2230	112	2	easy	easy	ADJ
bjmsr-2230	112	3	to	to	PART
bjmsr-2230	112	4	detect	detect	VERB
bjmsr-2230	112	5	.	.	PUNCT
bjmsr-2230	113	1	feature	feature	NOUN
bjmsr-2230	113	2	extraction	extraction	NOUN
bjmsr-2230	113	3	mfcc	mfcc	NOUN
bjmsr-2230	113	4	:	:	PUNCT
bjmsr-2230	113	5	mfccs	mfccs	PROPN
bjmsr-2230	113	6	are	be	AUX
bjmsr-2230	113	7	a	a	DET
bjmsr-2230	113	8	popular	popular	ADJ
bjmsr-2230	113	9	and	and	CCONJ
bjmsr-2230	113	10	effective	effective	ADJ
bjmsr-2230	113	11	analytical	analytical	ADJ
bjmsr-2230	113	12	tool	tool	NOUN
bjmsr-2230	113	13	used	use	VERB
bjmsr-2230	113	14	in	in	ADP
bjmsr-2230	113	15	the	the	DET
bjmsr-2230	113	16	music	music	NOUN
bjmsr-2230	113	17	analysis	analysis	NOUN
bjmsr-2230	113	18	domain	domain	NOUN
bjmsr-2230	113	19	.	.	PUNCT
bjmsr-2230	114	1	the	the	DET
bjmsr-2230	114	2	computation	computation	NOUN
bjmsr-2230	114	3	of	of	ADP
bjmsr-2230	114	4	mfcc	mfcc	NOUN
bjmsr-2230	114	5	mainly	mainly	ADV
bjmsr-2230	114	6	involves	involve	VERB
bjmsr-2230	114	7	the	the	DET
bjmsr-2230	114	8	following	follow	VERB
bjmsr-2230	114	9	operations	operation	NOUN
bjmsr-2230	114	10	:	:	PUNCT
bjmsr-2230	114	11	pre	pre	ADJ
bjmsr-2230	114	12	-	-	NOUN
bjmsr-2230	114	13	emphasis	emphasis	NOUN
bjmsr-2230	114	14	,	,	PUNCT
bjmsr-2230	114	15	framing	framing	NOUN
bjmsr-2230	114	16	,	,	PUNCT
bjmsr-2230	114	17	windowing	windowing	NOUN
bjmsr-2230	114	18	,	,	PUNCT
bjmsr-2230	114	19	fft	fft	PROPN
bjmsr-2230	114	20	,	,	PUNCT
bjmsr-2230	114	21	mel	mel	PROPN
bjmsr-2230	114	22	filter	filter	PROPN
bjmsr-2230	114	23	bank	bank	PROPN
bjmsr-2230	114	24	,	,	PUNCT
bjmsr-2230	114	25	and	and	CCONJ
bjmsr-2230	114	26	dct	dct	PROPN
bjmsr-2230	114	27	.	.	PROPN
bjmsr-2230	115	1	in	in	ADP
bjmsr-2230	115	2	the	the	DET
bjmsr-2230	115	3	initial	initial	ADJ
bjmsr-2230	115	4	steps	step	NOUN
bjmsr-2230	115	5	,	,	PUNCT
bjmsr-2230	115	6	the	the	DET
bjmsr-2230	115	7	music	music	NOUN
bjmsr-2230	115	8	signal	signal	NOUN
bjmsr-2230	115	9	is	be	AUX
bjmsr-2230	115	10	divided	divide	VERB
bjmsr-2230	115	11	into	into	ADP
bjmsr-2230	115	12	short	short	ADJ
bjmsr-2230	115	13	frames	frame	NOUN
bjmsr-2230	115	14	and	and	CCONJ
bjmsr-2230	115	15	then	then	ADV
bjmsr-2230	115	16	fast	fast	ADJ
bjmsr-2230	115	17	fourier	fourier	NOUN
bjmsr-2230	115	18	transform	transform	NOUN
bjmsr-2230	115	19	is	be	AUX
bjmsr-2230	115	20	applied	apply	VERB
bjmsr-2230	115	21	to	to	ADP
bjmsr-2230	115	22	each	each	DET
bjmsr-2230	115	23	frame	frame	NOUN
bjmsr-2230	115	24	.	.	PUNCT
bjmsr-2230	116	1	a	a	DET
bjmsr-2230	116	2	bank	bank	NOUN
bjmsr-2230	116	3	of	of	ADP
bjmsr-2230	116	4	filters	filter	NOUN
bjmsr-2230	116	5	is	be	AUX
bjmsr-2230	116	6	applied	apply	VERB
bjmsr-2230	116	7	to	to	ADP
bjmsr-2230	116	8	the	the	DET
bjmsr-2230	116	9	dft	dft	PROPN
bjmsr-2230	116	10	/	/	SYM
bjmsr-2230	116	11	fft	fft	PROPN
bjmsr-2230	116	12	spectrum	spectrum	NOUN
bjmsr-2230	116	13	and	and	CCONJ
bjmsr-2230	116	14	then	then	ADV
bjmsr-2230	116	15	converted	convert	VERB
bjmsr-2230	116	16	to	to	PART
bjmsr-2230	116	17	log	log	VERB
bjmsr-2230	116	18	mel	mel	PROPN
bjmsr-2230	116	19	spectrum	spectrum	PROPN
bjmsr-2230	116	20	.	.	PUNCT
bjmsr-2230	117	1	in	in	ADP
bjmsr-2230	117	2	the	the	DET
bjmsr-2230	117	3	final	final	ADJ
bjmsr-2230	117	4	step	step	NOUN
bjmsr-2230	117	5	,	,	PUNCT
bjmsr-2230	117	6	discrete	discrete	ADJ
bjmsr-2230	117	7	cosine	cosine	NOUN
bjmsr-2230	117	8	transform	transform	NOUN
bjmsr-2230	117	9	(	(	PUNCT
bjmsr-2230	117	10	dct	dct	PROPN
bjmsr-2230	117	11	)	)	PUNCT
bjmsr-2230	117	12	is	be	AUX
bjmsr-2230	117	13	used	use	VERB
bjmsr-2230	117	14	to	to	PART
bjmsr-2230	117	15	calculate	calculate	VERB
bjmsr-2230	117	16	mfccs	mfccs	NOUN
bjmsr-2230	117	17	from	from	ADP
bjmsr-2230	117	18	the	the	DET
bjmsr-2230	117	19	log	log	NOUN
bjmsr-2230	117	20	mel	mel	PROPN
bjmsr-2230	117	21	spectrum	spectrum	PROPN
bjmsr-2230	117	22	(	(	PUNCT
bjmsr-2230	117	23	christy	christy	PROPN
bjmsr-2230	117	24	et	et	PROPN
bjmsr-2230	117	25	al	al	PROPN
bjmsr-2230	117	26	.	.	PROPN
bjmsr-2230	117	27	,	,	PUNCT
bjmsr-2230	117	28	2020	2020	NUM
bjmsr-2230	117	29	)	)	PUNCT
bjmsr-2230	117	30	.	.	PUNCT
bjmsr-2230	118	1	frequency	frequency	PROPN
bjmsr-2230	118	2	f	f	PROPN
bjmsr-2230	118	3	hertz	hertz	NOUN
bjmsr-2230	118	4	can	can	AUX
bjmsr-2230	118	5	be	be	AUX
bjmsr-2230	118	6	converted	convert	VERB
bjmsr-2230	118	7	to	to	ADP
bjmsr-2230	118	8	mel	mel	PROPN
bjmsr-2230	118	9	scale	scale	NOUN
bjmsr-2230	118	10	by	by	ADP
bjmsr-2230	118	11	using	use	VERB
bjmsr-2230	118	12	equation	equation	NOUN
bjmsr-2230	118	13	(	(	PUNCT
bjmsr-2230	118	14	1	1	NUM
bjmsr-2230	118	15	)	)	PUNCT
bjmsr-2230	118	16	.	.	PUNCT
bjmsr-2230	119	1	m(f	m(f	NOUN
bjmsr-2230	119	2	)	)	PUNCT
bjmsr-2230	120	1	=	=	NOUN
bjmsr-2230	120	2	1125	1125	NUM
bjmsr-2230	121	1	ln(1	ln(1	NOUN
bjmsr-2230	121	2	+	+	CCONJ
bjmsr-2230	121	3	f	f	PROPN
bjmsr-2230	121	4	∕700	∕700	PROPN
bjmsr-2230	121	5	)	)	PUNCT
bjmsr-2230	121	6	------------------------(1	------------------------(1	CCONJ
bjmsr-2230	121	7	)	)	PUNCT
bjmsr-2230	121	8	in	in	ADP
bjmsr-2230	121	9	this	this	DET
bjmsr-2230	121	10	work	work	NOUN
bjmsr-2230	121	11	,	,	PUNCT
bjmsr-2230	121	12	a	a	DET
bjmsr-2230	121	13	total	total	NOUN
bjmsr-2230	121	14	of	of	ADP
bjmsr-2230	121	15	forty	forty	NUM
bjmsr-2230	121	16	mfcc	mfcc	NOUN
bjmsr-2230	121	17	coefficients	coefficient	NOUN
bjmsr-2230	121	18	are	be	AUX
bjmsr-2230	121	19	used	use	VERB
bjmsr-2230	121	20	.	.	PUNCT
bjmsr-2230	122	1	the	the	DET
bjmsr-2230	122	2	process	process	NOUN
bjmsr-2230	122	3	of	of	ADP
bjmsr-2230	122	4	extraction	extraction	NOUN
bjmsr-2230	122	5	of	of	ADP
bjmsr-2230	122	6	mfccs	mfccs	NOUN
bjmsr-2230	122	7	is	be	AUX
bjmsr-2230	122	8	depicted	depict	VERB
bjmsr-2230	122	9	in	in	ADP
bjmsr-2230	122	10	figure	figure	NOUN
bjmsr-2230	122	11	2	2	NUM
bjmsr-2230	122	12	.	.	PUNCT
bjmsr-2230	122	13	figure	figure	NOUN
bjmsr-2230	122	14	2	2	NUM
bjmsr-2230	122	15	.	.	NOUN
bjmsr-2230	122	16	mfcc	mfcc	PROPN
bjmsr-2230	122	17	block	block	PROPN
bjmsr-2230	122	18	diagram	diagram	PROPN
bjmsr-2230	122	19	dutta	dutta	PROPN
bjmsr-2230	122	20	&	&	CCONJ
bjmsr-2230	122	21	chanda	chanda	PROPN
bjmsr-2230	122	22	,	,	PUNCT
bjmsr-2230	122	23	bangladesh	bangladesh	PROPN
bjmsr-2230	122	24	journal	journal	NOUN
bjmsr-2230	122	25	of	of	ADP
bjmsr-2230	122	26	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	122	27	scientific	scientific	ADJ
bjmsr-2230	122	28	research	research	NOUN
bjmsr-2230	122	29	9(3	9(3	NUM
bjmsr-2230	122	30	)	)	PUNCT
bjmsr-2230	122	31	(	(	PUNCT
bjmsr-2230	122	32	2024	2024	NUM
bjmsr-2230	122	33	)	)	PUNCT
bjmsr-2230	122	34	,	,	PUNCT
bjmsr-2230	122	35	21	21	NUM
bjmsr-2230	122	36	-	-	SYM
bjmsr-2230	122	37	32	32	NUM
bjmsr-2230	122	38	25	25	NUM
bjmsr-2230	122	39	mel	mel	PROPN
bjmsr-2230	122	40	spectrogram	spectrogram	PROPN
bjmsr-2230	122	41	:	:	PUNCT
bjmsr-2230	122	42	the	the	DET
bjmsr-2230	122	43	mel	mel	PROPN
bjmsr-2230	122	44	spectrogram	spectrogram	PROPN
bjmsr-2230	122	45	contains	contain	VERB
bjmsr-2230	122	46	a	a	DET
bjmsr-2230	122	47	short	short	ADJ
bjmsr-2230	122	48	-	-	PUNCT
bjmsr-2230	122	49	time	time	NOUN
bjmsr-2230	122	50	fourier	fourier	NOUN
bjmsr-2230	122	51	transform	transform	NOUN
bjmsr-2230	122	52	(	(	PUNCT
bjmsr-2230	122	53	stft	stft	PROPN
bjmsr-2230	122	54	)	)	PUNCT
bjmsr-2230	122	55	,	,	PUNCT
bjmsr-2230	122	56	which	which	PRON
bjmsr-2230	122	57	converts	convert	VERB
bjmsr-2230	122	58	each	each	DET
bjmsr-2230	122	59	frame	frame	NOUN
bjmsr-2230	122	60	from	from	ADP
bjmsr-2230	122	61	frequency	frequency	NOUN
bjmsr-2230	122	62	scale	scale	NOUN
bjmsr-2230	122	63	to	to	ADP
bjmsr-2230	122	64	logarithmic	logarithmic	PROPN
bjmsr-2230	122	65	mel	mel	PROPN
bjmsr-2230	122	66	-	-	PUNCT
bjmsr-2230	122	67	scale	scale	NOUN
bjmsr-2230	122	68	.	.	PUNCT
bjmsr-2230	123	1	the	the	DET
bjmsr-2230	123	2	audio	audio	ADJ
bjmsr-2230	123	3	signals	signal	NOUN
bjmsr-2230	123	4	are	be	AUX
bjmsr-2230	123	5	passed	pass	VERB
bjmsr-2230	123	6	through	through	ADP
bjmsr-2230	123	7	a	a	DET
bjmsr-2230	123	8	bank	bank	NOUN
bjmsr-2230	123	9	of	of	ADP
bjmsr-2230	123	10	filters	filter	NOUN
bjmsr-2230	123	11	to	to	PART
bjmsr-2230	123	12	get	get	VERB
bjmsr-2230	123	13	the	the	DET
bjmsr-2230	123	14	mel	mel	PROPN
bjmsr-2230	123	15	spectrogram	spectrogram	PROPN
bjmsr-2230	123	16	(	(	PUNCT
bjmsr-2230	123	17	zhou	zhou	PROPN
bjmsr-2230	123	18	et	et	PROPN
bjmsr-2230	123	19	al	al	PROPN
bjmsr-2230	123	20	.	.	PROPN
bjmsr-2230	123	21	,	,	PUNCT
bjmsr-2230	123	22	2021	2021	NUM
bjmsr-2230	123	23	)	)	PUNCT
bjmsr-2230	123	24	.	.	PUNCT
bjmsr-2230	124	1	in	in	ADP
bjmsr-2230	124	2	this	this	DET
bjmsr-2230	124	3	work	work	NOUN
bjmsr-2230	124	4	,	,	PUNCT
bjmsr-2230	124	5	we	we	PRON
bjmsr-2230	124	6	considered	consider	VERB
bjmsr-2230	124	7	128	128	NUM
bjmsr-2230	124	8	mel	mel	PROPN
bjmsr-2230	124	9	features	feature	NOUN
bjmsr-2230	124	10	.	.	PUNCT
bjmsr-2230	125	1	chroma	chroma	ADJ
bjmsr-2230	125	2	feature	feature	NOUN
bjmsr-2230	125	3	:	:	PUNCT
bjmsr-2230	125	4	chroma	chroma	NOUN
bjmsr-2230	125	5	feature	feature	NOUN
bjmsr-2230	125	6	or	or	CCONJ
bjmsr-2230	125	7	chromatogram	chromatogram	NOUN
bjmsr-2230	125	8	is	be	AUX
bjmsr-2230	125	9	a	a	DET
bjmsr-2230	125	10	powerful	powerful	ADJ
bjmsr-2230	125	11	tool	tool	NOUN
bjmsr-2230	125	12	in	in	ADP
bjmsr-2230	125	13	music	music	NOUN
bjmsr-2230	125	14	audio	audio	NOUN
bjmsr-2230	125	15	analysis	analysis	NOUN
bjmsr-2230	125	16	.	.	PUNCT
bjmsr-2230	126	1	also	also	ADV
bjmsr-2230	126	2	referred	refer	VERB
bjmsr-2230	126	3	to	to	ADP
bjmsr-2230	126	4	as	as	ADP
bjmsr-2230	126	5	pitch	pitch	NOUN
bjmsr-2230	126	6	class	class	NOUN
bjmsr-2230	126	7	profiles	profile	NOUN
bjmsr-2230	126	8	,	,	PUNCT
bjmsr-2230	126	9	pitches	pitch	NOUN
bjmsr-2230	126	10	can	can	AUX
bjmsr-2230	126	11	often	often	ADV
bjmsr-2230	126	12	be	be	AUX
bjmsr-2230	126	13	classified	classify	VERB
bjmsr-2230	126	14	into	into	ADP
bjmsr-2230	126	15	twelve	twelve	NUM
bjmsr-2230	126	16	classes	class	NOUN
bjmsr-2230	126	17	.	.	PUNCT
bjmsr-2230	127	1	each	each	DET
bjmsr-2230	127	2	octave	octave	NOUN
bjmsr-2230	127	3	incorporated	incorporate	VERB
bjmsr-2230	127	4	with	with	ADP
bjmsr-2230	127	5	12	12	NUM
bjmsr-2230	127	6	semitones	semitone	NOUN
bjmsr-2230	127	7	or	or	CCONJ
bjmsr-2230	127	8	chroma	chroma	NOUN
bjmsr-2230	127	9	,	,	PUNCT
bjmsr-2230	127	10	a	a	DET
bjmsr-2230	127	11	feature	feature	NOUN
bjmsr-2230	127	12	vector	vector	NOUN
bjmsr-2230	127	13	of	of	ADP
bjmsr-2230	127	14	length	length	NOUN
bjmsr-2230	127	15	12	12	NUM
bjmsr-2230	127	16	is	be	AUX
bjmsr-2230	127	17	obtained	obtain	VERB
bjmsr-2230	127	18	(	(	PUNCT
bjmsr-2230	127	19	ellis	ellis	PROPN
bjmsr-2230	127	20	&	&	CCONJ
bjmsr-2230	127	21	poliner	poliner	PROPN
bjmsr-2230	127	22	,	,	PUNCT
bjmsr-2230	127	23	2007	2007	NUM
bjmsr-2230	127	24	;	;	PUNCT
bjmsr-2230	127	25	murthy	murthy	PROPN
bjmsr-2230	127	26	et	et	PROPN
bjmsr-2230	127	27	al	al	PROPN
bjmsr-2230	127	28	.	.	PROPN
bjmsr-2230	127	29	,	,	PUNCT
bjmsr-2230	127	30	2018	2018	NUM
bjmsr-2230	127	31	)	)	PUNCT
bjmsr-2230	127	32	.	.	PUNCT
bjmsr-2230	128	1	in	in	ADP
bjmsr-2230	128	2	this	this	DET
bjmsr-2230	128	3	work	work	NOUN
bjmsr-2230	128	4	,	,	PUNCT
bjmsr-2230	128	5	twelve	twelve	NUM
bjmsr-2230	128	6	chroma	chroma	NOUN
bjmsr-2230	128	7	features	feature	NOUN
bjmsr-2230	128	8	are	be	AUX
bjmsr-2230	128	9	considered	consider	VERB
bjmsr-2230	128	10	.	.	PUNCT
bjmsr-2230	129	1	feature	feature	NOUN
bjmsr-2230	129	2	selection	selection	NOUN
bjmsr-2230	129	3	feature	feature	NOUN
bjmsr-2230	129	4	selection	selection	NOUN
bjmsr-2230	129	5	is	be	AUX
bjmsr-2230	129	6	the	the	DET
bjmsr-2230	129	7	process	process	NOUN
bjmsr-2230	129	8	of	of	ADP
bjmsr-2230	129	9	choosing	choose	VERB
bjmsr-2230	129	10	the	the	DET
bjmsr-2230	129	11	relevant	relevant	ADJ
bjmsr-2230	129	12	features	feature	NOUN
bjmsr-2230	129	13	from	from	ADP
bjmsr-2230	129	14	the	the	DET
bjmsr-2230	129	15	extracted	extract	VERB
bjmsr-2230	129	16	features	feature	NOUN
bjmsr-2230	129	17	according	accord	VERB
bjmsr-2230	129	18	to	to	ADP
bjmsr-2230	129	19	certain	certain	ADJ
bjmsr-2230	129	20	evaluation	evaluation	NOUN
bjmsr-2230	129	21	criterion	criterion	NOUN
bjmsr-2230	129	22	.	.	PUNCT
bjmsr-2230	130	1	this	this	PRON
bjmsr-2230	130	2	is	be	AUX
bjmsr-2230	130	3	necessary	necessary	ADJ
bjmsr-2230	130	4	to	to	PART
bjmsr-2230	130	5	improve	improve	VERB
bjmsr-2230	130	6	the	the	DET
bjmsr-2230	130	7	recognition	recognition	NOUN
bjmsr-2230	130	8	accuracy	accuracy	NOUN
bjmsr-2230	130	9	of	of	ADP
bjmsr-2230	130	10	the	the	DET
bjmsr-2230	130	11	learning	learning	NOUN
bjmsr-2230	130	12	algorithm	algorithm	NOUN
bjmsr-2230	130	13	.	.	PUNCT
bjmsr-2230	131	1	classification	classification	NOUN
bjmsr-2230	131	2	methods	method	NOUN
bjmsr-2230	131	3	decision	decision	NOUN
bjmsr-2230	131	4	tree	tree	NOUN
bjmsr-2230	131	5	:	:	PUNCT
bjmsr-2230	131	6	the	the	DET
bjmsr-2230	131	7	decision	decision	NOUN
bjmsr-2230	131	8	tree	tree	NOUN
bjmsr-2230	131	9	is	be	AUX
bjmsr-2230	131	10	one	one	NUM
bjmsr-2230	131	11	of	of	ADP
bjmsr-2230	131	12	the	the	DET
bjmsr-2230	131	13	widely	widely	ADV
bjmsr-2230	131	14	used	use	VERB
bjmsr-2230	131	15	machine	machine	NOUN
bjmsr-2230	131	16	learning	learn	VERB
bjmsr-2230	131	17	techniques	technique	NOUN
bjmsr-2230	131	18	for	for	ADP
bjmsr-2230	131	19	supervised	supervised	ADJ
bjmsr-2230	131	20	classification	classification	NOUN
bjmsr-2230	131	21	where	where	SCONJ
bjmsr-2230	131	22	predictions	prediction	NOUN
bjmsr-2230	131	23	are	be	AUX
bjmsr-2230	131	24	made	make	VERB
bjmsr-2230	131	25	by	by	ADP
bjmsr-2230	131	26	considering	consider	VERB
bjmsr-2230	131	27	each	each	DET
bjmsr-2230	131	28	feature	feature	NOUN
bjmsr-2230	131	29	in	in	ADP
bjmsr-2230	131	30	the	the	DET
bjmsr-2230	131	31	dataset	dataset	NOUN
bjmsr-2230	131	32	.	.	PUNCT
bjmsr-2230	132	1	the	the	DET
bjmsr-2230	132	2	entire	entire	ADJ
bjmsr-2230	132	3	dataset	dataset	NOUN
bjmsr-2230	132	4	is	be	AUX
bjmsr-2230	132	5	visualized	visualize	VERB
bjmsr-2230	132	6	as	as	ADP
bjmsr-2230	132	7	a	a	DET
bjmsr-2230	132	8	tree	tree	NOUN
bjmsr-2230	132	9	with	with	ADP
bjmsr-2230	132	10	nodes	node	NOUN
bjmsr-2230	132	11	in	in	ADP
bjmsr-2230	132	12	the	the	DET
bjmsr-2230	132	13	decision	decision	NOUN
bjmsr-2230	132	14	tree	tree	NOUN
bjmsr-2230	132	15	algorithm	algorithm	NOUN
bjmsr-2230	132	16	.	.	PUNCT
bjmsr-2230	133	1	from	from	ADP
bjmsr-2230	133	2	the	the	DET
bjmsr-2230	133	3	node	node	NOUN
bjmsr-2230	133	4	point	point	NOUN
bjmsr-2230	133	5	,	,	PUNCT
bjmsr-2230	133	6	the	the	DET
bjmsr-2230	133	7	tree	tree	NOUN
bjmsr-2230	133	8	splits	split	VERB
bjmsr-2230	133	9	according	accord	VERB
bjmsr-2230	133	10	to	to	ADP
bjmsr-2230	133	11	the	the	DET
bjmsr-2230	133	12	value	value	NOUN
bjmsr-2230	133	13	of	of	ADP
bjmsr-2230	133	14	some	some	DET
bjmsr-2230	133	15	specific	specific	ADJ
bjmsr-2230	133	16	dataset	dataset	NOUN
bjmsr-2230	133	17	feature	feature	NOUN
bjmsr-2230	133	18	(	(	PUNCT
bjmsr-2230	133	19	zuber	zuber	PROPN
bjmsr-2230	133	20	&	&	CCONJ
bjmsr-2230	133	21	vidhya	vidhya	PROPN
bjmsr-2230	133	22	,	,	PUNCT
bjmsr-2230	133	23	2022	2022	NUM
bjmsr-2230	133	24	)	)	PUNCT
bjmsr-2230	133	25	.	.	PUNCT
bjmsr-2230	134	1	first	first	ADV
bjmsr-2230	134	2	,	,	PUNCT
bjmsr-2230	134	3	we	we	PRON
bjmsr-2230	134	4	need	need	VERB
bjmsr-2230	134	5	to	to	PART
bjmsr-2230	134	6	select	select	VERB
bjmsr-2230	134	7	the	the	DET
bjmsr-2230	134	8	best	good	ADJ
bjmsr-2230	134	9	attribute	attribute	NOUN
bjmsr-2230	134	10	or	or	CCONJ
bjmsr-2230	134	11	feature	feature	NOUN
bjmsr-2230	134	12	from	from	ADP
bjmsr-2230	134	13	the	the	DET
bjmsr-2230	134	14	entire	entire	ADJ
bjmsr-2230	134	15	features	feature	NOUN
bjmsr-2230	134	16	list	list	NOUN
bjmsr-2230	134	17	of	of	ADP
bjmsr-2230	134	18	the	the	DET
bjmsr-2230	134	19	dataset	dataset	NOUN
bjmsr-2230	134	20	for	for	ADP
bjmsr-2230	134	21	the	the	DET
bjmsr-2230	134	22	root	root	NOUN
bjmsr-2230	134	23	node	node	NOUN
bjmsr-2230	134	24	and	and	CCONJ
bjmsr-2230	134	25	sub	sub	NOUN
bjmsr-2230	134	26	-	-	NOUN
bjmsr-2230	134	27	nodes	node	NOUN
bjmsr-2230	134	28	.	.	PUNCT
bjmsr-2230	135	1	after	after	ADP
bjmsr-2230	135	2	the	the	DET
bjmsr-2230	135	3	selection	selection	NOUN
bjmsr-2230	135	4	of	of	ADP
bjmsr-2230	135	5	the	the	DET
bjmsr-2230	135	6	best	good	ADJ
bjmsr-2230	135	7	feature	feature	NOUN
bjmsr-2230	135	8	,	,	PUNCT
bjmsr-2230	135	9	the	the	DET
bjmsr-2230	135	10	dataset	dataset	NOUN
bjmsr-2230	135	11	is	be	AUX
bjmsr-2230	135	12	divided	divide	VERB
bjmsr-2230	135	13	into	into	ADP
bjmsr-2230	135	14	smaller	small	ADJ
bjmsr-2230	135	15	subsets	subset	NOUN
bjmsr-2230	135	16	and	and	CCONJ
bjmsr-2230	135	17	the	the	DET
bjmsr-2230	135	18	leaf	leaf	NOUN
bjmsr-2230	135	19	node	node	NOUN
bjmsr-2230	135	20	of	of	ADP
bjmsr-2230	135	21	a	a	DET
bjmsr-2230	135	22	class	class	NOUN
bjmsr-2230	135	23	constitutes	constitute	VERB
bjmsr-2230	135	24	the	the	DET
bjmsr-2230	135	25	decision	decision	NOUN
bjmsr-2230	135	26	(	(	PUNCT
bjmsr-2230	135	27	christy	christy	PROPN
bjmsr-2230	135	28	et	et	PROPN
bjmsr-2230	135	29	al	al	PROPN
bjmsr-2230	135	30	.	.	PROPN
bjmsr-2230	135	31	,	,	PUNCT
bjmsr-2230	135	32	2020	2020	NUM
bjmsr-2230	135	33	)	)	PUNCT
bjmsr-2230	135	34	.	.	PUNCT
bjmsr-2230	136	1	k	k	X
bjmsr-2230	136	2	-	-	PUNCT
bjmsr-2230	136	3	nearest	near	ADJ
bjmsr-2230	136	4	neighbors	neighbor	NOUN
bjmsr-2230	136	5	:	:	PUNCT
bjmsr-2230	136	6	k	k	ADJ
bjmsr-2230	136	7	-	-	PUNCT
bjmsr-2230	136	8	nearest	near	ADJ
bjmsr-2230	136	9	neighbor	neighbor	NOUN
bjmsr-2230	136	10	is	be	AUX
bjmsr-2230	136	11	a	a	DET
bjmsr-2230	136	12	relatively	relatively	ADV
bjmsr-2230	136	13	simple	simple	ADJ
bjmsr-2230	136	14	classification	classification	NOUN
bjmsr-2230	136	15	algorithm	algorithm	NOUN
bjmsr-2230	136	16	.	.	PUNCT
bjmsr-2230	137	1	in	in	ADP
bjmsr-2230	137	2	this	this	DET
bjmsr-2230	137	3	approach	approach	NOUN
bjmsr-2230	137	4	,	,	PUNCT
bjmsr-2230	137	5	all	all	DET
bjmsr-2230	137	6	the	the	DET
bjmsr-2230	137	7	data	data	NOUN
bjmsr-2230	137	8	points	point	NOUN
bjmsr-2230	137	9	are	be	AUX
bjmsr-2230	137	10	plotted	plot	VERB
bjmsr-2230	137	11	in	in	ADP
bjmsr-2230	137	12	space	space	NOUN
bjmsr-2230	137	13	,	,	PUNCT
bjmsr-2230	137	14	and	and	CCONJ
bjmsr-2230	137	15	to	to	PART
bjmsr-2230	137	16	classify	classify	VERB
bjmsr-2230	137	17	a	a	DET
bjmsr-2230	137	18	new	new	ADJ
bjmsr-2230	137	19	song	song	NOUN
bjmsr-2230	137	20	,	,	PUNCT
bjmsr-2230	137	21	the	the	DET
bjmsr-2230	137	22	system	system	NOUN
bjmsr-2230	137	23	will	will	AUX
bjmsr-2230	137	24	observe	observe	VERB
bjmsr-2230	137	25	its	its	PRON
bjmsr-2230	137	26	k	k	ADV
bjmsr-2230	137	27	-	-	PUNCT
bjmsr-2230	137	28	nearest	near	ADJ
bjmsr-2230	137	29	points	point	NOUN
bjmsr-2230	137	30	in	in	ADP
bjmsr-2230	137	31	space	space	NOUN
bjmsr-2230	137	32	and	and	CCONJ
bjmsr-2230	137	33	decide	decide	VERB
bjmsr-2230	137	34	by	by	ADP
bjmsr-2230	137	35	comparing	compare	VERB
bjmsr-2230	137	36	the	the	DET
bjmsr-2230	137	37	new	new	ADJ
bjmsr-2230	137	38	song	song	NOUN
bjmsr-2230	137	39	with	with	ADP
bjmsr-2230	137	40	the	the	DET
bjmsr-2230	137	41	other	other	ADJ
bjmsr-2230	137	42	songs	song	NOUN
bjmsr-2230	137	43	in	in	ADP
bjmsr-2230	137	44	the	the	DET
bjmsr-2230	137	45	training	training	NOUN
bjmsr-2230	137	46	dataset	dataset	NOUN
bjmsr-2230	137	47	(	(	PUNCT
bjmsr-2230	137	48	jamdar	jamdar	NOUN
bjmsr-2230	137	49	et	et	PROPN
bjmsr-2230	137	50	al	al	PROPN
bjmsr-2230	137	51	.	.	PROPN
bjmsr-2230	137	52	,	,	PUNCT
bjmsr-2230	137	53	2015	2015	NUM
bjmsr-2230	137	54	)	)	PUNCT
bjmsr-2230	137	55	.	.	PUNCT
bjmsr-2230	138	1	in	in	ADP
bjmsr-2230	138	2	knn	knn	PROPN
bjmsr-2230	138	3	,	,	PUNCT
bjmsr-2230	138	4	k	k	PROPN
bjmsr-2230	138	5	is	be	AUX
bjmsr-2230	138	6	known	know	VERB
bjmsr-2230	138	7	as	as	ADP
bjmsr-2230	138	8	the	the	DET
bjmsr-2230	138	9	nearest	near	ADJ
bjmsr-2230	138	10	neighbor	neighbor	NOUN
bjmsr-2230	138	11	.	.	PUNCT
bjmsr-2230	139	1	the	the	DET
bjmsr-2230	139	2	algorithm	algorithm	NOUN
bjmsr-2230	139	3	is	be	AUX
bjmsr-2230	139	4	known	know	VERB
bjmsr-2230	139	5	as	as	ADP
bjmsr-2230	139	6	the	the	DET
bjmsr-2230	139	7	nearest	near	ADJ
bjmsr-2230	139	8	neighbors	neighbor	NOUN
bjmsr-2230	139	9	algorithm	algorithm	NOUN
bjmsr-2230	139	10	when	when	SCONJ
bjmsr-2230	139	11	the	the	DET
bjmsr-2230	139	12	value	value	NOUN
bjmsr-2230	139	13	of	of	ADP
bjmsr-2230	139	14	k	k	PROPN
bjmsr-2230	139	15	is	be	AUX
bjmsr-2230	139	16	equal	equal	ADJ
bjmsr-2230	139	17	to	to	ADP
bjmsr-2230	139	18	1	1	NUM
bjmsr-2230	139	19	.	.	PUNCT
bjmsr-2230	140	1	in	in	ADP
bjmsr-2230	140	2	this	this	DET
bjmsr-2230	140	3	approach	approach	NOUN
bjmsr-2230	140	4	,	,	PUNCT
bjmsr-2230	140	5	selecting	select	VERB
bjmsr-2230	140	6	the	the	DET
bjmsr-2230	140	7	optimal	optimal	ADJ
bjmsr-2230	140	8	value	value	NOUN
bjmsr-2230	140	9	of	of	ADP
bjmsr-2230	140	10	k	k	PROPN
bjmsr-2230	140	11	is	be	AUX
bjmsr-2230	140	12	quite	quite	ADV
bjmsr-2230	140	13	challenging	challenging	ADJ
bjmsr-2230	140	14	.	.	PUNCT
bjmsr-2230	141	1	the	the	DET
bjmsr-2230	141	2	process	process	NOUN
bjmsr-2230	141	3	is	be	AUX
bjmsr-2230	141	4	repeated	repeat	VERB
bjmsr-2230	141	5	for	for	ADP
bjmsr-2230	141	6	different	different	ADJ
bjmsr-2230	141	7	values	value	NOUN
bjmsr-2230	141	8	of	of	ADP
bjmsr-2230	141	9	k	k	PROPN
bjmsr-2230	141	10	to	to	PART
bjmsr-2230	141	11	find	find	VERB
bjmsr-2230	141	12	its	its	PRON
bjmsr-2230	141	13	optimal	optimal	ADJ
bjmsr-2230	141	14	value	value	NOUN
bjmsr-2230	141	15	.	.	PUNCT
bjmsr-2230	142	1	random	random	ADJ
bjmsr-2230	142	2	forest	forest	NOUN
bjmsr-2230	142	3	:	:	PUNCT
bjmsr-2230	142	4	random	random	ADJ
bjmsr-2230	142	5	forest	forest	NOUN
bjmsr-2230	142	6	is	be	AUX
bjmsr-2230	142	7	a	a	DET
bjmsr-2230	142	8	supervised	supervised	ADJ
bjmsr-2230	142	9	machine	machine	NOUN
bjmsr-2230	142	10	learning	learn	VERB
bjmsr-2230	142	11	algorithm	algorithm	NOUN
bjmsr-2230	142	12	with	with	ADP
bjmsr-2230	142	13	many	many	ADJ
bjmsr-2230	142	14	decision	decision	NOUN
bjmsr-2230	142	15	trees	tree	NOUN
bjmsr-2230	142	16	.	.	PUNCT
bjmsr-2230	143	1	it	it	PRON
bjmsr-2230	143	2	acts	act	VERB
bjmsr-2230	143	3	as	as	ADP
bjmsr-2230	143	4	ensemble	ensemble	ADJ
bjmsr-2230	143	5	learning	learning	NOUN
bjmsr-2230	143	6	by	by	ADP
bjmsr-2230	143	7	using	use	VERB
bjmsr-2230	143	8	which	which	DET
bjmsr-2230	143	9	complex	complex	ADJ
bjmsr-2230	143	10	problems	problem	NOUN
bjmsr-2230	143	11	can	can	AUX
bjmsr-2230	143	12	be	be	AUX
bjmsr-2230	143	13	solved	solve	VERB
bjmsr-2230	143	14	by	by	ADP
bjmsr-2230	143	15	combining	combine	VERB
bjmsr-2230	143	16	many	many	ADJ
bjmsr-2230	143	17	classifiers	classifier	NOUN
bjmsr-2230	143	18	.	.	PUNCT
bjmsr-2230	144	1	the	the	DET
bjmsr-2230	144	2	algorithm	algorithm	NOUN
bjmsr-2230	144	3	establishes	establish	VERB
bjmsr-2230	144	4	output	output	NOUN
bjmsr-2230	144	5	based	base	VERB
bjmsr-2230	144	6	on	on	ADP
bjmsr-2230	144	7	the	the	DET
bjmsr-2230	144	8	outcomes	outcome	NOUN
bjmsr-2230	144	9	of	of	ADP
bjmsr-2230	144	10	the	the	DET
bjmsr-2230	144	11	decision	decision	NOUN
bjmsr-2230	144	12	trees	tree	NOUN
bjmsr-2230	144	13	.	.	PUNCT
bjmsr-2230	145	1	the	the	DET
bjmsr-2230	145	2	results	result	NOUN
bjmsr-2230	145	3	are	be	AUX
bjmsr-2230	145	4	determined	determine	VERB
bjmsr-2230	145	5	by	by	ADP
bjmsr-2230	145	6	considering	consider	VERB
bjmsr-2230	145	7	the	the	DET
bjmsr-2230	145	8	mean	mean	NOUN
bjmsr-2230	145	9	or	or	CCONJ
bjmsr-2230	145	10	average	average	NOUN
bjmsr-2230	145	11	of	of	ADP
bjmsr-2230	145	12	the	the	DET
bjmsr-2230	145	13	outcomes	outcome	NOUN
bjmsr-2230	145	14	from	from	ADP
bjmsr-2230	145	15	various	various	ADJ
bjmsr-2230	145	16	trees	tree	NOUN
bjmsr-2230	145	17	.	.	PUNCT
bjmsr-2230	146	1	since	since	SCONJ
bjmsr-2230	146	2	the	the	DET
bjmsr-2230	146	3	random	random	ADJ
bjmsr-2230	146	4	forest	forest	NOUN
bjmsr-2230	146	5	is	be	AUX
bjmsr-2230	146	6	a	a	DET
bjmsr-2230	146	7	collection	collection	NOUN
bjmsr-2230	146	8	of	of	ADP
bjmsr-2230	146	9	decision	decision	NOUN
bjmsr-2230	146	10	trees	tree	NOUN
bjmsr-2230	146	11	,	,	PUNCT
bjmsr-2230	146	12	increasing	increase	VERB
bjmsr-2230	146	13	the	the	DET
bjmsr-2230	146	14	number	number	NOUN
bjmsr-2230	146	15	of	of	ADP
bjmsr-2230	146	16	trees	tree	NOUN
bjmsr-2230	146	17	gives	give	VERB
bjmsr-2230	146	18	better	well	ADJ
bjmsr-2230	146	19	results	result	NOUN
bjmsr-2230	146	20	and	and	CCONJ
bjmsr-2230	146	21	can	can	AUX
bjmsr-2230	146	22	reduce	reduce	VERB
bjmsr-2230	146	23	the	the	DET
bjmsr-2230	146	24	issue	issue	NOUN
bjmsr-2230	146	25	of	of	ADP
bjmsr-2230	146	26	overfitting	overfitte	VERB
bjmsr-2230	146	27	in	in	ADP
bjmsr-2230	146	28	the	the	DET
bjmsr-2230	146	29	decision	decision	NOUN
bjmsr-2230	146	30	tree	tree	NOUN
bjmsr-2230	146	31	.	.	PUNCT
bjmsr-2230	147	1	thus	thus	ADV
bjmsr-2230	147	2	the	the	DET
bjmsr-2230	147	3	algorithm	algorithm	NOUN
bjmsr-2230	147	4	is	be	AUX
bjmsr-2230	147	5	more	more	ADV
bjmsr-2230	147	6	accurate	accurate	ADJ
bjmsr-2230	147	7	than	than	ADP
bjmsr-2230	147	8	the	the	DET
bjmsr-2230	147	9	decision	decision	NOUN
bjmsr-2230	147	10	tree	tree	NOUN
bjmsr-2230	147	11	algorithm	algorithm	NOUN
bjmsr-2230	147	12	.	.	PUNCT
bjmsr-2230	148	1	this	this	DET
bjmsr-2230	148	2	algorithm	algorithm	NOUN
bjmsr-2230	148	3	can	can	AUX
bjmsr-2230	148	4	also	also	ADV
bjmsr-2230	148	5	handle	handle	VERB
bjmsr-2230	148	6	missing	miss	VERB
bjmsr-2230	148	7	data	datum	NOUN
bjmsr-2230	148	8	(	(	PUNCT
bjmsr-2230	148	9	christy	christy	PROPN
bjmsr-2230	148	10	et	et	PROPN
bjmsr-2230	148	11	al	al	PROPN
bjmsr-2230	148	12	.	.	PROPN
bjmsr-2230	148	13	,	,	PUNCT
bjmsr-2230	148	14	2020	2020	NUM
bjmsr-2230	148	15	;	;	PUNCT
bjmsr-2230	148	16	murthy	murthy	PROPN
bjmsr-2230	148	17	et	et	PROPN
bjmsr-2230	148	18	al	al	PROPN
bjmsr-2230	148	19	.	.	PROPN
bjmsr-2230	148	20	,	,	PUNCT
bjmsr-2230	148	21	2018	2018	NUM
bjmsr-2230	148	22	)	)	PUNCT
bjmsr-2230	148	23	.	.	PUNCT
bjmsr-2230	149	1	multi	multi	ADJ
bjmsr-2230	149	2	-	-	ADJ
bjmsr-2230	149	3	layer	layer	ADJ
bjmsr-2230	149	4	perceptron	perceptron	NOUN
bjmsr-2230	149	5	(	(	PUNCT
bjmsr-2230	149	6	mlp	mlp	PROPN
bjmsr-2230	149	7	):	):	PUNCT
bjmsr-2230	149	8	mlp	mlp	PROPN
bjmsr-2230	149	9	is	be	AUX
bjmsr-2230	149	10	a	a	DET
bjmsr-2230	149	11	feedforward	feedforward	NOUN
bjmsr-2230	149	12	ann	ann	NOUN
bjmsr-2230	149	13	consisting	consisting	NOUN
bjmsr-2230	149	14	of	of	ADP
bjmsr-2230	149	15	three	three	NUM
bjmsr-2230	149	16	main	main	ADJ
bjmsr-2230	149	17	layers	layer	NOUN
bjmsr-2230	149	18	of	of	ADP
bjmsr-2230	149	19	nodes	node	NOUN
bjmsr-2230	149	20	:	:	PUNCT
bjmsr-2230	149	21	input	input	NOUN
bjmsr-2230	149	22	,	,	PUNCT
bjmsr-2230	149	23	hidden	hide	VERB
bjmsr-2230	149	24	,	,	PUNCT
bjmsr-2230	149	25	and	and	CCONJ
bjmsr-2230	149	26	output	output	NOUN
bjmsr-2230	149	27	.	.	PUNCT
bjmsr-2230	150	1	usually	usually	ADV
bjmsr-2230	150	2	,	,	PUNCT
bjmsr-2230	150	3	mlps	mlp	NOUN
bjmsr-2230	150	4	are	be	AUX
bjmsr-2230	150	5	applied	apply	VERB
bjmsr-2230	150	6	to	to	ADP
bjmsr-2230	150	7	supervised	supervised	ADJ
bjmsr-2230	150	8	learning	learning	NOUN
bjmsr-2230	150	9	problems	problem	NOUN
bjmsr-2230	150	10	(	(	PUNCT
bjmsr-2230	150	11	bhatkar	bhatkar	PROPN
bjmsr-2230	150	12	&	&	CCONJ
bjmsr-2230	150	13	kharat	kharat	PROPN
bjmsr-2230	150	14	,	,	PUNCT
bjmsr-2230	150	15	2015	2015	NUM
bjmsr-2230	150	16	)	)	PUNCT
bjmsr-2230	150	17	.	.	PUNCT
bjmsr-2230	151	1	the	the	DET
bjmsr-2230	151	2	backpropagation	backpropagation	NOUN
bjmsr-2230	151	3	algorithm	algorithm	NOUN
bjmsr-2230	151	4	is	be	AUX
bjmsr-2230	151	5	used	use	VERB
bjmsr-2230	151	6	to	to	PART
bjmsr-2230	151	7	train	train	VERB
bjmsr-2230	151	8	the	the	DET
bjmsr-2230	151	9	network	network	NOUN
bjmsr-2230	151	10	to	to	PART
bjmsr-2230	151	11	build	build	VERB
bjmsr-2230	151	12	a	a	DET
bjmsr-2230	151	13	higher	high	ADJ
bjmsr-2230	151	14	value	value	NOUN
bjmsr-2230	151	15	at	at	ADP
bjmsr-2230	151	16	the	the	DET
bjmsr-2230	151	17	output	output	NOUN
bjmsr-2230	151	18	,	,	PUNCT
bjmsr-2230	151	19	representing	represent	VERB
bjmsr-2230	151	20	the	the	DET
bjmsr-2230	151	21	appropriate	appropriate	ADJ
bjmsr-2230	151	22	class	class	NOUN
bjmsr-2230	151	23	as	as	ADP
bjmsr-2230	151	24	output	output	NOUN
bjmsr-2230	151	25	,	,	PUNCT
bjmsr-2230	151	26	and	and	CCONJ
bjmsr-2230	151	27	all	all	DET
bjmsr-2230	151	28	other	other	ADJ
bjmsr-2230	151	29	values	value	NOUN
bjmsr-2230	151	30	are	be	AUX
bjmsr-2230	151	31	low	low	ADJ
bjmsr-2230	151	32	(	(	PUNCT
bjmsr-2230	151	33	iversen	iversen	NOUN
bjmsr-2230	151	34	et	et	PROPN
bjmsr-2230	151	35	al	al	PROPN
bjmsr-2230	151	36	.	.	PROPN
bjmsr-2230	151	37	,	,	PUNCT
bjmsr-2230	151	38	2006	2006	NUM
bjmsr-2230	151	39	)	)	PUNCT
bjmsr-2230	151	40	.	.	PUNCT
bjmsr-2230	152	1	long	long	ADJ
bjmsr-2230	152	2	short	short	ADJ
bjmsr-2230	152	3	-	-	PUNCT
bjmsr-2230	152	4	term	term	NOUN
bjmsr-2230	152	5	memory	memory	NOUN
bjmsr-2230	152	6	(	(	PUNCT
bjmsr-2230	152	7	lstm	lstm	NOUN
bjmsr-2230	152	8	):	):	PUNCT
bjmsr-2230	152	9	lstm	lstm	ADJ
bjmsr-2230	152	10	network	network	NOUN
bjmsr-2230	152	11	is	be	AUX
bjmsr-2230	152	12	a	a	DET
bjmsr-2230	152	13	modified	modify	VERB
bjmsr-2230	152	14	version	version	NOUN
bjmsr-2230	152	15	of	of	ADP
bjmsr-2230	152	16	recurrent	recurrent	ADJ
bjmsr-2230	152	17	neural	neural	ADJ
bjmsr-2230	152	18	networks	network	NOUN
bjmsr-2230	152	19	(	(	PUNCT
bjmsr-2230	152	20	rnns	rnns	PROPN
bjmsr-2230	152	21	)	)	PUNCT
bjmsr-2230	152	22	.	.	PUNCT
bjmsr-2230	153	1	it	it	PRON
bjmsr-2230	153	2	can	can	AUX
bjmsr-2230	153	3	handle	handle	VERB
bjmsr-2230	153	4	the	the	DET
bjmsr-2230	153	5	problem	problem	NOUN
bjmsr-2230	153	6	of	of	ADP
bjmsr-2230	153	7	vanishing	vanish	VERB
bjmsr-2230	153	8	gradient	gradient	NOUN
bjmsr-2230	153	9	problem	problem	NOUN
bjmsr-2230	153	10	faced	face	VERB
bjmsr-2230	153	11	by	by	ADP
bjmsr-2230	153	12	traditional	traditional	ADJ
bjmsr-2230	153	13	rnns	rnns	NOUN
bjmsr-2230	153	14	(	(	PUNCT
bjmsr-2230	153	15	h.	h.	PROPN
bjmsr-2230	153	16	liu	liu	PROPN
bjmsr-2230	153	17	et	et	PROPN
bjmsr-2230	153	18	al	al	PROPN
bjmsr-2230	153	19	.	.	PROPN
bjmsr-2230	153	20	,	,	PUNCT
bjmsr-2230	153	21	2018	2018	NUM
bjmsr-2230	153	22	)	)	PUNCT
bjmsr-2230	153	23	.	.	PUNCT
bjmsr-2230	154	1	the	the	DET
bjmsr-2230	154	2	lstm	lstm	PROPN
bjmsr-2230	154	3	network	network	NOUN
bjmsr-2230	154	4	architecture	architecture	NOUN
bjmsr-2230	154	5	consists	consist	VERB
bjmsr-2230	154	6	of	of	ADP
bjmsr-2230	154	7	three	three	NUM
bjmsr-2230	154	8	gates	gate	NOUN
bjmsr-2230	154	9	;	;	PUNCT
bjmsr-2230	154	10	the	the	DET
bjmsr-2230	154	11	first	first	ADJ
bjmsr-2230	154	12	gate	gate	NOUN
bjmsr-2230	154	13	is	be	AUX
bjmsr-2230	154	14	called	call	VERB
bjmsr-2230	154	15	forget	forget	NOUN
bjmsr-2230	154	16	gate	gate	NOUN
bjmsr-2230	154	17	,	,	PUNCT
bjmsr-2230	154	18	the	the	DET
bjmsr-2230	154	19	second	second	ADJ
bjmsr-2230	154	20	is	be	AUX
bjmsr-2230	154	21	called	call	VERB
bjmsr-2230	154	22	the	the	DET
bjmsr-2230	154	23	input	input	NOUN
bjmsr-2230	154	24	gate	gate	NOUN
bjmsr-2230	154	25	,	,	PUNCT
bjmsr-2230	154	26	the	the	DET
bjmsr-2230	154	27	third	third	NOUN
bjmsr-2230	154	28	is	be	AUX
bjmsr-2230	154	29	the	the	DET
bjmsr-2230	154	30	output	output	NOUN
bjmsr-2230	154	31	gate	gate	NOUN
bjmsr-2230	154	32	,	,	PUNCT
bjmsr-2230	154	33	and	and	CCONJ
bjmsr-2230	154	34	the	the	DET
bjmsr-2230	154	35	memory	memory	NOUN
bjmsr-2230	154	36	unit	unit	NOUN
bjmsr-2230	154	37	is	be	AUX
bjmsr-2230	154	38	known	know	VERB
bjmsr-2230	154	39	as	as	ADP
bjmsr-2230	154	40	cell	cell	NOUN
bjmsr-2230	154	41	.	.	PUNCT
bjmsr-2230	155	1	the	the	DET
bjmsr-2230	155	2	memory	memory	NOUN
bjmsr-2230	155	3	cell	cell	NOUN
bjmsr-2230	155	4	is	be	AUX
bjmsr-2230	155	5	the	the	DET
bjmsr-2230	155	6	core	core	NOUN
bjmsr-2230	155	7	of	of	ADP
bjmsr-2230	155	8	the	the	DET
bjmsr-2230	155	9	lstm	lstm	PROPN
bjmsr-2230	155	10	network	network	NOUN
bjmsr-2230	155	11	.	.	PUNCT
bjmsr-2230	156	1	lstm	lstm	PROPN
bjmsr-2230	156	2	,	,	PUNCT
bjmsr-2230	156	3	just	just	ADV
bjmsr-2230	156	4	like	like	ADP
bjmsr-2230	156	5	a	a	DET
bjmsr-2230	156	6	rnn	rnn	NOUN
bjmsr-2230	156	7	,	,	PUNCT
bjmsr-2230	156	8	also	also	ADV
bjmsr-2230	156	9	has	have	VERB
bjmsr-2230	156	10	a	a	DET
bjmsr-2230	156	11	hidden	hidden	ADJ
bjmsr-2230	156	12	state	state	NOUN
bjmsr-2230	156	13	known	know	VERB
bjmsr-2230	156	14	as	as	ADP
bjmsr-2230	156	15	short	short	ADJ
bjmsr-2230	156	16	-	-	PUNCT
bjmsr-2230	156	17	term	term	NOUN
bjmsr-2230	156	18	memory	memory	NOUN
bjmsr-2230	156	19	and	and	CCONJ
bjmsr-2230	156	20	the	the	DET
bjmsr-2230	156	21	cell	cell	NOUN
bjmsr-2230	156	22	state	state	NOUN
bjmsr-2230	156	23	is	be	AUX
bjmsr-2230	156	24	known	know	VERB
bjmsr-2230	156	25	as	as	ADP
bjmsr-2230	156	26	long	long	ADJ
bjmsr-2230	156	27	-	-	PUNCT
bjmsr-2230	156	28	term	term	NOUN
bjmsr-2230	156	29	memory	memory	NOUN
bjmsr-2230	156	30	.	.	PUNCT
bjmsr-2230	157	1	the	the	DET
bjmsr-2230	157	2	first	first	ADJ
bjmsr-2230	157	3	gate	gate	NOUN
bjmsr-2230	157	4	can	can	AUX
bjmsr-2230	157	5	keep	keep	VERB
bjmsr-2230	157	6	the	the	DET
bjmsr-2230	157	7	useful	useful	ADJ
bjmsr-2230	157	8	information	information	NOUN
bjmsr-2230	157	9	coming	come	VERB
bjmsr-2230	157	10	from	from	ADP
bjmsr-2230	157	11	the	the	DET
bjmsr-2230	157	12	previous	previous	ADJ
bjmsr-2230	157	13	time	time	NOUN
bjmsr-2230	157	14	and	and	CCONJ
bjmsr-2230	157	15	forget	forget	VERB
bjmsr-2230	157	16	the	the	DET
bjmsr-2230	157	17	useless	useless	ADJ
bjmsr-2230	157	18	information	information	NOUN
bjmsr-2230	157	19	.	.	PUNCT
bjmsr-2230	158	1	in	in	ADP
bjmsr-2230	158	2	the	the	DET
bjmsr-2230	158	3	input	input	NOUN
bjmsr-2230	158	4	gate	gate	NOUN
bjmsr-2230	158	5	,	,	PUNCT
bjmsr-2230	158	6	the	the	DET
bjmsr-2230	158	7	cell	cell	NOUN
bjmsr-2230	158	8	tries	try	VERB
bjmsr-2230	158	9	to	to	PART
bjmsr-2230	158	10	quantify	quantify	VERB
bjmsr-2230	158	11	the	the	DET
bjmsr-2230	158	12	importance	importance	NOUN
bjmsr-2230	158	13	of	of	ADP
bjmsr-2230	158	14	new	new	ADJ
bjmsr-2230	158	15	information	information	NOUN
bjmsr-2230	158	16	.	.	PUNCT
bjmsr-2230	159	1	in	in	ADP
bjmsr-2230	159	2	the	the	DET
bjmsr-2230	159	3	output	output	NOUN
bjmsr-2230	159	4	gate	gate	NOUN
bjmsr-2230	159	5	,	,	PUNCT
bjmsr-2230	159	6	the	the	DET
bjmsr-2230	159	7	cell	cell	NOUN
bjmsr-2230	159	8	passes	pass	VERB
bjmsr-2230	159	9	the	the	DET
bjmsr-2230	159	10	latest	late	ADJ
bjmsr-2230	159	11	updated	update	VERB
bjmsr-2230	159	12	information	information	NOUN
bjmsr-2230	159	13	to	to	ADP
bjmsr-2230	159	14	the	the	DET
bjmsr-2230	159	15	next	next	ADJ
bjmsr-2230	159	16	timestamp	timestamp	NOUN
bjmsr-2230	159	17	(	(	PUNCT
bjmsr-2230	159	18	h.	h.	PROPN
bjmsr-2230	159	19	liu	liu	PROPN
bjmsr-2230	159	20	et	et	PROPN
bjmsr-2230	159	21	al	al	PROPN
bjmsr-2230	159	22	.	.	PROPN
bjmsr-2230	159	23	,	,	PUNCT
bjmsr-2230	159	24	2018	2018	NUM
bjmsr-2230	159	25	;	;	PUNCT
bjmsr-2230	159	26	qing	qing	NOUN
bjmsr-2230	159	27	&	&	CCONJ
bjmsr-2230	159	28	niu	niu	PROPN
bjmsr-2230	159	29	,	,	PUNCT
bjmsr-2230	159	30	2018	2018	NUM
bjmsr-2230	159	31	)	)	PUNCT
bjmsr-2230	159	32	.	.	PUNCT
bjmsr-2230	160	1	in	in	ADP
bjmsr-2230	160	2	bidirectional	bidirectional	ADJ
bjmsr-2230	160	3	lstm	lstm	PROPN
bjmsr-2230	160	4	,	,	PUNCT
bjmsr-2230	160	5	the	the	DET
bjmsr-2230	160	6	output	output	NOUN
bjmsr-2230	160	7	is	be	AUX
bjmsr-2230	160	8	generated	generate	VERB
bjmsr-2230	160	9	by	by	ADP
bjmsr-2230	160	10	a	a	DET
bjmsr-2230	160	11	forward	forward	ADJ
bjmsr-2230	160	12	and	and	CCONJ
bjmsr-2230	160	13	backward	backward	ADJ
bjmsr-2230	160	14	layer	layer	NOUN
bjmsr-2230	160	15	.	.	PUNCT
bjmsr-2230	161	1	this	this	DET
bjmsr-2230	161	2	work	work	NOUN
bjmsr-2230	161	3	creates	create	VERB
bjmsr-2230	161	4	an	an	DET
bjmsr-2230	161	5	lstm	lstm	NOUN
bjmsr-2230	161	6	model	model	NOUN
bjmsr-2230	161	7	with	with	ADP
bjmsr-2230	161	8	two	two	NUM
bjmsr-2230	161	9	bidirectional	bidirectional	ADJ
bjmsr-2230	161	10	lstm	lstm	ADJ
bjmsr-2230	161	11	layers	layer	NOUN
bjmsr-2230	161	12	.	.	PUNCT
bjmsr-2230	162	1	the	the	DET
bjmsr-2230	162	2	first	first	ADJ
bjmsr-2230	162	3	layer	layer	NOUN
bjmsr-2230	162	4	has	have	VERB
bjmsr-2230	162	5	a	a	DET
bjmsr-2230	162	6	parameter	parameter	NOUN
bjmsr-2230	162	7	return	return	NOUN
bjmsr-2230	162	8	sequences	sequence	NOUN
bjmsr-2230	162	9	which	which	PRON
bjmsr-2230	162	10	is	be	AUX
bjmsr-2230	162	11	set	set	VERB
bjmsr-2230	162	12	to	to	ADP
bjmsr-2230	162	13	zero	zero	NUM
bjmsr-2230	162	14	to	to	PART
bjmsr-2230	162	15	get	get	VERB
bjmsr-2230	162	16	all	all	DET
bjmsr-2230	162	17	the	the	DET
bjmsr-2230	162	18	hidden	hidden	ADJ
bjmsr-2230	162	19	state	state	NOUN
bjmsr-2230	162	20	.	.	PUNCT
bjmsr-2230	163	1	'	'	PUNCT
bjmsr-2230	163	2	relu	relu	NOUN
bjmsr-2230	163	3	'	'	PUNCT
bjmsr-2230	163	4	activation	activation	NOUN
bjmsr-2230	163	5	function	function	NOUN
bjmsr-2230	163	6	is	be	AUX
bjmsr-2230	163	7	used	use	VERB
bjmsr-2230	163	8	with	with	ADP
bjmsr-2230	163	9	this	this	DET
bjmsr-2230	163	10	layer	layer	NOUN
bjmsr-2230	163	11	.	.	PUNCT
bjmsr-2230	164	1	it	it	PRON
bjmsr-2230	164	2	is	be	AUX
bjmsr-2230	164	3	followed	follow	VERB
bjmsr-2230	164	4	by	by	ADP
bjmsr-2230	164	5	another	another	DET
bjmsr-2230	164	6	bidirectional	bidirectional	ADJ
bjmsr-2230	164	7	lstm	lstm	NOUN
bjmsr-2230	164	8	layer	layer	NOUN
bjmsr-2230	164	9	with	with	ADP
bjmsr-2230	164	10	100	100	NUM
bjmsr-2230	164	11	neurons	neuron	NOUN
bjmsr-2230	164	12	.	.	PUNCT
bjmsr-2230	165	1	convolutional	convolutional	ADJ
bjmsr-2230	165	2	neural	neural	ADJ
bjmsr-2230	165	3	networks	network	NOUN
bjmsr-2230	165	4	:	:	PUNCT
bjmsr-2230	165	5	convolutional	convolutional	ADJ
bjmsr-2230	165	6	neural	neural	ADJ
bjmsr-2230	165	7	networks	network	NOUN
bjmsr-2230	165	8	(	(	PUNCT
bjmsr-2230	165	9	cnn	cnn	PROPN
bjmsr-2230	165	10	)	)	PUNCT
bjmsr-2230	165	11	are	be	AUX
bjmsr-2230	165	12	one	one	NUM
bjmsr-2230	165	13	of	of	ADP
bjmsr-2230	165	14	the	the	DET
bjmsr-2230	165	15	most	most	ADV
bjmsr-2230	165	16	popular	popular	ADJ
bjmsr-2230	165	17	algorithms	algorithm	NOUN
bjmsr-2230	165	18	in	in	ADP
bjmsr-2230	165	19	the	the	DET
bjmsr-2230	165	20	field	field	NOUN
bjmsr-2230	165	21	of	of	ADP
bjmsr-2230	165	22	deep	deep	ADJ
bjmsr-2230	165	23	learning	learning	NOUN
bjmsr-2230	165	24	.	.	PUNCT
bjmsr-2230	166	1	cnn	cnn	PROPN
bjmsr-2230	166	2	can	can	AUX
bjmsr-2230	166	3	be	be	AUX
bjmsr-2230	166	4	applied	apply	VERB
bjmsr-2230	166	5	in	in	ADP
bjmsr-2230	166	6	speech	speech	NOUN
bjmsr-2230	166	7	,	,	PUNCT
bjmsr-2230	166	8	audio	audio	NOUN
bjmsr-2230	166	9	,	,	PUNCT
bjmsr-2230	166	10	image	image	NOUN
bjmsr-2230	166	11	,	,	PUNCT
bjmsr-2230	166	12	and	and	CCONJ
bjmsr-2230	166	13	video	video	NOUN
bjmsr-2230	166	14	processing	processing	NOUN
bjmsr-2230	166	15	.	.	PUNCT
bjmsr-2230	167	1	cnn	cnn	PROPN
bjmsr-2230	167	2	combines	combine	VERB
bjmsr-2230	167	3	three	three	NUM
bjmsr-2230	167	4	layers	layer	NOUN
bjmsr-2230	167	5	:	:	PUNCT
bjmsr-2230	167	6	convolutional	convolutional	ADJ
bjmsr-2230	167	7	layers	layer	NOUN
bjmsr-2230	167	8	,	,	PUNCT
bjmsr-2230	167	9	pooling	pool	VERB
bjmsr-2230	167	10	layers	layer	NOUN
bjmsr-2230	167	11	,	,	PUNCT
bjmsr-2230	167	12	and	and	CCONJ
bjmsr-2230	167	13	fully	fully	ADV
bjmsr-2230	167	14	connected	connected	ADJ
bjmsr-2230	167	15	layers	layer	NOUN
bjmsr-2230	167	16	(	(	PUNCT
bjmsr-2230	167	17	mustaqeem	mustaqeem	PROPN
bjmsr-2230	167	18	&	&	CCONJ
bjmsr-2230	167	19	kwon	kwon	PROPN
bjmsr-2230	167	20	,	,	PUNCT
bjmsr-2230	167	21	2019	2019	NUM
bjmsr-2230	167	22	)	)	PUNCT
bjmsr-2230	167	23	.	.	PUNCT
bjmsr-2230	168	1	the	the	DET
bjmsr-2230	168	2	first	first	ADJ
bjmsr-2230	168	3	convolutional	convolutional	ADJ
bjmsr-2230	168	4	layer	layer	NOUN
bjmsr-2230	168	5	has	have	VERB
bjmsr-2230	168	6	some	some	DET
bjmsr-2230	168	7	filters	filter	NOUN
bjmsr-2230	168	8	to	to	PART
bjmsr-2230	168	9	apply	apply	VERB
bjmsr-2230	168	10	to	to	ADP
bjmsr-2230	168	11	input	input	NOUN
bjmsr-2230	168	12	and	and	CCONJ
bjmsr-2230	168	13	extracts	extract	NOUN
bjmsr-2230	168	14	features	feature	NOUN
bjmsr-2230	168	15	from	from	ADP
bjmsr-2230	168	16	the	the	DET
bjmsr-2230	168	17	data	datum	NOUN
bjmsr-2230	168	18	matrix	matrix	NOUN
bjmsr-2230	168	19	.	.	PUNCT
bjmsr-2230	169	1	the	the	DET
bjmsr-2230	169	2	pooling	pool	VERB
bjmsr-2230	169	3	layer	layer	NOUN
bjmsr-2230	169	4	is	be	AUX
bjmsr-2230	169	5	used	use	VERB
bjmsr-2230	169	6	to	to	PART
bjmsr-2230	169	7	reduce	reduce	VERB
bjmsr-2230	169	8	or	or	CCONJ
bjmsr-2230	169	9	downsample	downsample	VERB
bjmsr-2230	169	10	the	the	DET
bjmsr-2230	169	11	data	datum	NOUN
bjmsr-2230	169	12	matrix	matrix	NOUN
bjmsr-2230	169	13	.	.	PUNCT
bjmsr-2230	170	1	different	different	ADJ
bjmsr-2230	170	2	pooling	pool	VERB
bjmsr-2230	170	3	operations	operation	NOUN
bjmsr-2230	170	4	used	use	VERB
bjmsr-2230	170	5	in	in	ADP
bjmsr-2230	170	6	cnns	cnn	NOUN
bjmsr-2230	170	7	are	be	AUX
bjmsr-2230	170	8	max	max	PROPN
bjmsr-2230	170	9	pooling	pooling	NOUN
bjmsr-2230	170	10	,	,	PUNCT
bjmsr-2230	170	11	min	min	NOUN
bjmsr-2230	170	12	pooling	pooling	NOUN
bjmsr-2230	170	13	,	,	PUNCT
bjmsr-2230	170	14	mean	mean	VERB
bjmsr-2230	170	15	pooling	pooling	NOUN
bjmsr-2230	170	16	and	and	CCONJ
bjmsr-2230	170	17	average	average	ADJ
bjmsr-2230	170	18	pooling	pooling	NOUN
bjmsr-2230	170	19	.	.	PUNCT
bjmsr-2230	171	1	the	the	DET
bjmsr-2230	171	2	last	last	ADJ
bjmsr-2230	171	3	component	component	NOUN
bjmsr-2230	171	4	of	of	ADP
bjmsr-2230	171	5	cnn	cnn	PROPN
bjmsr-2230	171	6	architecture	architecture	NOUN
bjmsr-2230	171	7	is	be	AUX
bjmsr-2230	171	8	the	the	DET
bjmsr-2230	171	9	fully	fully	ADV
bjmsr-2230	171	10	connected	connect	VERB
bjmsr-2230	171	11	(	(	PUNCT
bjmsr-2230	171	12	fc	fc	INTJ
bjmsr-2230	171	13	)	)	PUNCT
bjmsr-2230	171	14	layer	layer	NOUN
bjmsr-2230	171	15	.	.	PUNCT
bjmsr-2230	172	1	the	the	DET
bjmsr-2230	172	2	final	final	ADJ
bjmsr-2230	172	3	pooling	pooling	NOUN
bjmsr-2230	172	4	layer	layer	NOUN
bjmsr-2230	172	5	output	output	NOUN
bjmsr-2230	172	6	is	be	AUX
bjmsr-2230	172	7	flattened	flatten	VERB
bjmsr-2230	172	8	and	and	CCONJ
bjmsr-2230	172	9	fed	feed	VERB
bjmsr-2230	172	10	to	to	ADP
bjmsr-2230	172	11	the	the	DET
bjmsr-2230	172	12	fully	fully	ADV
bjmsr-2230	172	13	connected	connect	VERB
bjmsr-2230	172	14	layer	layer	NOUN
bjmsr-2230	172	15	.	.	PUNCT
bjmsr-2230	173	1	this	this	DET
bjmsr-2230	173	2	layer	layer	NOUN
bjmsr-2230	173	3	is	be	AUX
bjmsr-2230	173	4	used	use	VERB
bjmsr-2230	173	5	for	for	ADP
bjmsr-2230	173	6	extracting	extract	VERB
bjmsr-2230	173	7	features	feature	NOUN
bjmsr-2230	173	8	and	and	CCONJ
bjmsr-2230	173	9	then	then	ADV
bjmsr-2230	173	10	fed	feed	VERB
bjmsr-2230	173	11	to	to	ADP
bjmsr-2230	173	12	a	a	DET
bjmsr-2230	173	13	suitable	suitable	ADJ
bjmsr-2230	173	14	classifier	classifier	NOUN
bjmsr-2230	173	15	like	like	ADP
bjmsr-2230	173	16	'	'	PUNCT
bjmsr-2230	173	17	softmax	softmax	NOUN
bjmsr-2230	173	18	'	'	PUNCT
bjmsr-2230	173	19	.	.	PUNCT
bjmsr-2230	174	1	in	in	ADP
bjmsr-2230	174	2	our	our	PRON
bjmsr-2230	174	3	model	model	NOUN
bjmsr-2230	174	4	,	,	PUNCT
bjmsr-2230	174	5	we	we	PRON
bjmsr-2230	174	6	have	have	AUX
bjmsr-2230	174	7	been	be	AUX
bjmsr-2230	174	8	using	use	VERB
bjmsr-2230	174	9	a	a	DET
bjmsr-2230	174	10	1d	1d	NUM
bjmsr-2230	174	11	convolution	convolution	NOUN
bjmsr-2230	174	12	layer	layer	NOUN
bjmsr-2230	174	13	to	to	PART
bjmsr-2230	174	14	deal	deal	VERB
bjmsr-2230	174	15	with	with	ADP
bjmsr-2230	174	16	audio	audio	ADJ
bjmsr-2230	174	17	signals	signal	NOUN
bjmsr-2230	174	18	.	.	PUNCT
bjmsr-2230	175	1	initially	initially	ADV
bjmsr-2230	175	2	,	,	PUNCT
bjmsr-2230	175	3	we	we	PRON
bjmsr-2230	175	4	chose	choose	VERB
bjmsr-2230	175	5	64	64	NUM
bjmsr-2230	175	6	numbers	number	NOUN
bjmsr-2230	175	7	of	of	ADP
bjmsr-2230	175	8	filters	filter	NOUN
bjmsr-2230	175	9	and	and	CCONJ
bjmsr-2230	175	10	'	'	PUNCT
bjmsr-2230	175	11	relu	relu	NOUN
bjmsr-2230	175	12	'	'	PUNCT
bjmsr-2230	175	13	as	as	ADP
bjmsr-2230	175	14	the	the	DET
bjmsr-2230	175	15	activation	activation	NOUN
bjmsr-2230	175	16	function	function	NOUN
bjmsr-2230	175	17	.	.	PUNCT
bjmsr-2230	176	1	the	the	DET
bjmsr-2230	176	2	pooling	pool	VERB
bjmsr-2230	176	3	layer	layer	NOUN
bjmsr-2230	176	4	with	with	ADP
bjmsr-2230	176	5	a	a	DET
bjmsr-2230	176	6	pool	pool	NOUN
bjmsr-2230	176	7	size	size	NOUN
bjmsr-2230	176	8	of	of	ADP
bjmsr-2230	176	9	8	8	NUM
bjmsr-2230	176	10	follows	follow	VERB
bjmsr-2230	176	11	it	it	PRON
bjmsr-2230	176	12	.	.	PUNCT
bjmsr-2230	177	1	we	we	PRON
bjmsr-2230	177	2	have	have	AUX
bjmsr-2230	177	3	created	create	VERB
bjmsr-2230	177	4	a	a	DET
bjmsr-2230	177	5	fully	fully	ADV
bjmsr-2230	177	6	connected	connect	VERB
bjmsr-2230	177	7	layer	layer	NOUN
bjmsr-2230	177	8	using	use	VERB
bjmsr-2230	177	9	the	the	DET
bjmsr-2230	177	10	256	256	NUM
bjmsr-2230	177	11	'	'	PUNCT
bjmsr-2230	177	12	dense	dense	ADJ
bjmsr-2230	177	13	'	'	PUNCT
bjmsr-2230	177	14	layers	layer	NOUN
bjmsr-2230	177	15	.	.	PUNCT
bjmsr-2230	178	1	the	the	DET
bjmsr-2230	178	2	final	final	ADJ
bjmsr-2230	178	3	output	output	NOUN
bjmsr-2230	178	4	‘	'	PUNCT
bjmsr-2230	178	5	dense	dense	ADJ
bjmsr-2230	178	6	’	'	PUNCT
bjmsr-2230	178	7	layer	layer	NOUN
bjmsr-2230	178	8	used	use	VERB
bjmsr-2230	178	9	the	the	DET
bjmsr-2230	178	10	‘	'	PUNCT
bjmsr-2230	178	11	softmax	softmax	NOUN
bjmsr-2230	178	12	’	'	PUNCT
bjmsr-2230	178	13	activation	activation	NOUN
bjmsr-2230	178	14	function	function	NOUN
bjmsr-2230	178	15	with	with	ADP
bjmsr-2230	178	16	six	six	NUM
bjmsr-2230	178	17	nodes	node	NOUN
bjmsr-2230	178	18	.	.	PUNCT
bjmsr-2230	179	1	dutta	dutta	PROPN
bjmsr-2230	179	2	&	&	CCONJ
bjmsr-2230	179	3	chanda	chanda	PROPN
bjmsr-2230	179	4	,	,	PUNCT
bjmsr-2230	179	5	bangladesh	bangladesh	PROPN
bjmsr-2230	179	6	journal	journal	NOUN
bjmsr-2230	179	7	of	of	ADP
bjmsr-2230	179	8	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	179	9	scientific	scientific	ADJ
bjmsr-2230	179	10	research	research	NOUN
bjmsr-2230	179	11	9(3	9(3	NUM
bjmsr-2230	179	12	)	)	PUNCT
bjmsr-2230	179	13	(	(	PUNCT
bjmsr-2230	179	14	2024	2024	NUM
bjmsr-2230	179	15	)	)	PUNCT
bjmsr-2230	179	16	,	,	PUNCT
bjmsr-2230	179	17	21	21	NUM
bjmsr-2230	179	18	-	-	SYM
bjmsr-2230	179	19	32	32	NUM
bjmsr-2230	179	20	26	26	NUM
bjmsr-2230	179	21	proposed	propose	VERB
bjmsr-2230	179	22	cnn	cnn	PROPN
bjmsr-2230	179	23	-	-	PUNCT
bjmsr-2230	179	24	lstm	lstm	PROPN
bjmsr-2230	179	25	model	model	NOUN
bjmsr-2230	179	26	:	:	PUNCT
bjmsr-2230	179	27	cnn	cnn	PROPN
bjmsr-2230	179	28	-	-	PUNCT
bjmsr-2230	179	29	lstm	lstm	PROPN
bjmsr-2230	179	30	is	be	AUX
bjmsr-2230	179	31	a	a	DET
bjmsr-2230	179	32	hybrid	hybrid	ADJ
bjmsr-2230	179	33	deep	deep	ADJ
bjmsr-2230	179	34	learning	learning	NOUN
bjmsr-2230	179	35	(	(	PUNCT
bjmsr-2230	179	36	hdl	hdl	PROPN
bjmsr-2230	179	37	)	)	PUNCT
bjmsr-2230	179	38	model	model	NOUN
bjmsr-2230	179	39	that	that	PRON
bjmsr-2230	179	40	combines	combine	VERB
bjmsr-2230	179	41	cnn	cnn	PROPN
bjmsr-2230	179	42	and	and	CCONJ
bjmsr-2230	179	43	lstm	lstm	NOUN
bjmsr-2230	179	44	layers	layer	NOUN
bjmsr-2230	179	45	(	(	PUNCT
bjmsr-2230	179	46	aksan	aksan	PROPN
bjmsr-2230	179	47	et	et	PROPN
bjmsr-2230	179	48	al	al	PROPN
bjmsr-2230	179	49	.	.	PROPN
bjmsr-2230	179	50	,	,	PUNCT
bjmsr-2230	179	51	2023	2023	NUM
bjmsr-2230	179	52	;	;	PUNCT
bjmsr-2230	180	1	kim	kim	PROPN
bjmsr-2230	180	2	et	et	PROPN
bjmsr-2230	180	3	al	al	PROPN
bjmsr-2230	180	4	.	.	PROPN
bjmsr-2230	180	5	,	,	PUNCT
bjmsr-2230	180	6	2013	2013	NUM
bjmsr-2230	180	7	;	;	PUNCT
bjmsr-2230	180	8	tasdelen	tasdelen	PROPN
bjmsr-2230	180	9	&	&	CCONJ
bjmsr-2230	180	10	sen	sen	PROPN
bjmsr-2230	180	11	,	,	PUNCT
bjmsr-2230	180	12	2021	2021	NUM
bjmsr-2230	180	13	)	)	PUNCT
bjmsr-2230	180	14	.	.	PUNCT
bjmsr-2230	181	1	in	in	ADP
bjmsr-2230	181	2	this	this	DET
bjmsr-2230	181	3	hybrid	hybrid	ADJ
bjmsr-2230	181	4	model	model	NOUN
bjmsr-2230	181	5	,	,	PUNCT
bjmsr-2230	181	6	the	the	DET
bjmsr-2230	181	7	cnn	cnn	PROPN
bjmsr-2230	181	8	layer	layer	NOUN
bjmsr-2230	181	9	extracts	extract	NOUN
bjmsr-2230	181	10	features	feature	NOUN
bjmsr-2230	181	11	from	from	ADP
bjmsr-2230	181	12	the	the	DET
bjmsr-2230	181	13	input	input	NOUN
bjmsr-2230	181	14	data	datum	NOUN
bjmsr-2230	181	15	,	,	PUNCT
bjmsr-2230	181	16	and	and	CCONJ
bjmsr-2230	181	17	then	then	ADV
bjmsr-2230	181	18	cnn	cnn	PROPN
bjmsr-2230	181	19	output	output	NOUN
bjmsr-2230	181	20	is	be	AUX
bjmsr-2230	181	21	fed	feed	VERB
bjmsr-2230	181	22	to	to	ADP
bjmsr-2230	181	23	the	the	DET
bjmsr-2230	181	24	lstm	lstm	ADJ
bjmsr-2230	181	25	layer	layer	NOUN
bjmsr-2230	181	26	as	as	ADP
bjmsr-2230	181	27	input	input	NOUN
bjmsr-2230	181	28	data	datum	NOUN
bjmsr-2230	181	29	to	to	PART
bjmsr-2230	181	30	provide	provide	VERB
bjmsr-2230	181	31	sequence	sequence	NOUN
bjmsr-2230	181	32	prediction	prediction	NOUN
bjmsr-2230	181	33	(	(	PUNCT
bjmsr-2230	181	34	tasdelen	tasdelen	PROPN
bjmsr-2230	181	35	&	&	CCONJ
bjmsr-2230	181	36	sen	sen	PROPN
bjmsr-2230	181	37	,	,	PUNCT
bjmsr-2230	181	38	2021	2021	NUM
bjmsr-2230	181	39	)	)	PUNCT
bjmsr-2230	181	40	.	.	PUNCT
bjmsr-2230	182	1	this	this	PRON
bjmsr-2230	182	2	helps	help	VERB
bjmsr-2230	182	3	the	the	DET
bjmsr-2230	182	4	lstm	lstm	NOUN
bjmsr-2230	182	5	to	to	PART
bjmsr-2230	182	6	get	get	VERB
bjmsr-2230	182	7	features	feature	NOUN
bjmsr-2230	182	8	from	from	ADP
bjmsr-2230	182	9	the	the	DET
bjmsr-2230	182	10	input	input	NOUN
bjmsr-2230	182	11	data	datum	NOUN
bjmsr-2230	182	12	that	that	PRON
bjmsr-2230	182	13	cnn	cnn	PROPN
bjmsr-2230	182	14	has	have	AUX
bjmsr-2230	182	15	recognized	recognize	VERB
bjmsr-2230	182	16	.	.	PUNCT
bjmsr-2230	183	1	the	the	DET
bjmsr-2230	183	2	cnn	cnn	PROPN
bjmsr-2230	183	3	-	-	PUNCT
bjmsr-2230	183	4	lstm	lstm	PROPN
bjmsr-2230	183	5	can	can	AUX
bjmsr-2230	183	6	be	be	AUX
bjmsr-2230	183	7	applied	apply	VERB
bjmsr-2230	183	8	for	for	ADP
bjmsr-2230	183	9	activity	activity	NOUN
bjmsr-2230	183	10	recognition	recognition	NOUN
bjmsr-2230	183	11	,	,	PUNCT
bjmsr-2230	183	12	image	image	NOUN
bjmsr-2230	183	13	,	,	PUNCT
bjmsr-2230	183	14	and	and	CCONJ
bjmsr-2230	183	15	video	video	NOUN
bjmsr-2230	183	16	labeling	labeling	NOUN
bjmsr-2230	183	17	.	.	PUNCT
bjmsr-2230	184	1	the	the	DET
bjmsr-2230	184	2	proposed	propose	VERB
bjmsr-2230	184	3	cnn	cnn	PROPN
bjmsr-2230	184	4	-	-	PUNCT
bjmsr-2230	184	5	lstm	lstm	PROPN
bjmsr-2230	184	6	model	model	NOUN
bjmsr-2230	184	7	integrated	integrate	VERB
bjmsr-2230	184	8	several	several	ADJ
bjmsr-2230	184	9	layers	layer	NOUN
bjmsr-2230	184	10	.	.	PUNCT
bjmsr-2230	185	1	initially	initially	ADV
bjmsr-2230	185	2	,	,	PUNCT
bjmsr-2230	185	3	we	we	PRON
bjmsr-2230	185	4	use	use	VERB
bjmsr-2230	185	5	two	two	NUM
bjmsr-2230	185	6	convolutional	convolutional	ADJ
bjmsr-2230	185	7	layers	layer	NOUN
bjmsr-2230	185	8	with	with	ADP
bjmsr-2230	185	9	the	the	DET
bjmsr-2230	185	10	‘	'	PUNCT
bjmsr-2230	185	11	relu	relu	NOUN
bjmsr-2230	185	12	’	'	PUNCT
bjmsr-2230	185	13	activation	activation	NOUN
bjmsr-2230	185	14	function	function	NOUN
bjmsr-2230	185	15	and	and	CCONJ
bjmsr-2230	185	16	with	with	ADP
bjmsr-2230	185	17	64	64	NUM
bjmsr-2230	185	18	and	and	CCONJ
bjmsr-2230	185	19	128	128	NUM
bjmsr-2230	185	20	numbers	number	NOUN
bjmsr-2230	185	21	of	of	ADP
bjmsr-2230	185	22	neurons	neuron	NOUN
bjmsr-2230	185	23	,	,	PUNCT
bjmsr-2230	185	24	respectively	respectively	ADV
bjmsr-2230	185	25	.	.	PUNCT
bjmsr-2230	186	1	this	this	PRON
bjmsr-2230	186	2	is	be	AUX
bjmsr-2230	186	3	followed	follow	VERB
bjmsr-2230	186	4	by	by	ADP
bjmsr-2230	186	5	the	the	DET
bjmsr-2230	186	6	max	max	PROPN
bjmsr-2230	186	7	-	-	PUNCT
bjmsr-2230	186	8	pooling	pool	VERB
bjmsr-2230	186	9	layer	layer	NOUN
bjmsr-2230	186	10	with	with	ADP
bjmsr-2230	186	11	a	a	DET
bjmsr-2230	186	12	pool	pool	NOUN
bjmsr-2230	186	13	size	size	NOUN
bjmsr-2230	186	14	of	of	ADP
bjmsr-2230	186	15	4	4	NUM
bjmsr-2230	186	16	and	and	CCONJ
bjmsr-2230	186	17	the	the	DET
bjmsr-2230	186	18	dropout	dropout	NOUN
bjmsr-2230	186	19	layer	layer	NOUN
bjmsr-2230	186	20	.	.	PUNCT
bjmsr-2230	187	1	after	after	ADP
bjmsr-2230	187	2	this	this	PRON
bjmsr-2230	187	3	,	,	PUNCT
bjmsr-2230	187	4	another	another	DET
bjmsr-2230	187	5	convolutional	convolutional	ADJ
bjmsr-2230	187	6	layer	layer	NOUN
bjmsr-2230	187	7	with	with	ADP
bjmsr-2230	187	8	the	the	DET
bjmsr-2230	187	9	activation	activation	NOUN
bjmsr-2230	187	10	function	function	NOUN
bjmsr-2230	187	11	relu	relu	NOUN
bjmsr-2230	187	12	was	be	AUX
bjmsr-2230	187	13	built	build	VERB
bjmsr-2230	187	14	,	,	PUNCT
bjmsr-2230	187	15	followed	follow	VERB
bjmsr-2230	187	16	by	by	ADP
bjmsr-2230	187	17	the	the	DET
bjmsr-2230	187	18	max	max	PROPN
bjmsr-2230	187	19	-	-	PUNCT
bjmsr-2230	187	20	pooling	pool	VERB
bjmsr-2230	187	21	and	and	CCONJ
bjmsr-2230	187	22	dropout	dropout	NOUN
bjmsr-2230	187	23	layers	layer	NOUN
bjmsr-2230	187	24	.	.	PUNCT
bjmsr-2230	188	1	lstm	lstm	ADJ
bjmsr-2230	188	2	layer	layer	NOUN
bjmsr-2230	188	3	is	be	AUX
bjmsr-2230	188	4	used	use	VERB
bjmsr-2230	188	5	with	with	ADP
bjmsr-2230	188	6	100	100	NUM
bjmsr-2230	188	7	neurons	neuron	NOUN
bjmsr-2230	188	8	followed	follow	VERB
bjmsr-2230	188	9	by	by	ADP
bjmsr-2230	188	10	a	a	DET
bjmsr-2230	188	11	dropout	dropout	NOUN
bjmsr-2230	188	12	layer	layer	NOUN
bjmsr-2230	188	13	.	.	PUNCT
bjmsr-2230	189	1	the	the	DET
bjmsr-2230	189	2	final	final	ADJ
bjmsr-2230	189	3	output	output	NOUN
bjmsr-2230	189	4	‘	'	PUNCT
bjmsr-2230	189	5	dense	dense	ADJ
bjmsr-2230	189	6	’	'	PUNCT
bjmsr-2230	189	7	layer	layer	NOUN
bjmsr-2230	189	8	uses	use	VERB
bjmsr-2230	189	9	6	6	NUM
bjmsr-2230	189	10	neurons	neuron	NOUN
bjmsr-2230	189	11	with	with	ADP
bjmsr-2230	189	12	a	a	DET
bjmsr-2230	189	13	‘	'	PUNCT
bjmsr-2230	189	14	softmax	softmax	ADJ
bjmsr-2230	189	15	’	'	PUNCT
bjmsr-2230	189	16	activation	activation	NOUN
bjmsr-2230	189	17	function	function	NOUN
bjmsr-2230	189	18	.	.	PUNCT
bjmsr-2230	190	1	as	as	ADP
bjmsr-2230	190	2	the	the	DET
bjmsr-2230	190	3	optimizer	optimizer	NOUN
bjmsr-2230	190	4	,	,	PUNCT
bjmsr-2230	190	5	‘	'	PUNCT
bjmsr-2230	190	6	adam	adam	NOUN
bjmsr-2230	190	7	’	'	PUNCT
bjmsr-2230	190	8	with	with	ADP
bjmsr-2230	190	9	a	a	DET
bjmsr-2230	190	10	learning	learn	VERB
bjmsr-2230	190	11	rate	rate	NOUN
bjmsr-2230	190	12	of	of	ADP
bjmsr-2230	190	13	0.001	0.001	NUM
bjmsr-2230	190	14	and	and	CCONJ
bjmsr-2230	190	15	the	the	DET
bjmsr-2230	190	16	'	'	PUNCT
bjmsr-2230	190	17	categorical_crossentropy	categorical_crossentropy	NOUN
bjmsr-2230	190	18	'	'	PUNCT
bjmsr-2230	190	19	loss	loss	NOUN
bjmsr-2230	190	20	function	function	NOUN
bjmsr-2230	190	21	has	have	AUX
bjmsr-2230	190	22	been	be	AUX
bjmsr-2230	190	23	used	use	VERB
bjmsr-2230	190	24	.	.	PUNCT
bjmsr-2230	191	1	the	the	DET
bjmsr-2230	191	2	structure	structure	NOUN
bjmsr-2230	191	3	of	of	ADP
bjmsr-2230	191	4	the	the	DET
bjmsr-2230	191	5	cnn	cnn	PROPN
bjmsr-2230	191	6	-	-	PUNCT
bjmsr-2230	191	7	lstm	lstm	PROPN
bjmsr-2230	191	8	model	model	NOUN
bjmsr-2230	191	9	is	be	AUX
bjmsr-2230	191	10	shown	show	VERB
bjmsr-2230	191	11	in	in	ADP
bjmsr-2230	191	12	figure	figure	NOUN
bjmsr-2230	191	13	3	3	NUM
bjmsr-2230	191	14	.	.	PUNCT
bjmsr-2230	192	1	the	the	DET
bjmsr-2230	192	2	proposed	propose	VERB
bjmsr-2230	192	3	cnn	cnn	PROPN
bjmsr-2230	192	4	-	-	PUNCT
bjmsr-2230	192	5	lstm	lstm	ADJ
bjmsr-2230	192	6	structure	structure	NOUN
bjmsr-2230	192	7	of	of	ADP
bjmsr-2230	192	8	the	the	DET
bjmsr-2230	192	9	layer	layer	NOUN
bjmsr-2230	192	10	can	can	AUX
bjmsr-2230	192	11	be	be	AUX
bjmsr-2230	192	12	described	describe	VERB
bjmsr-2230	192	13	as	as	SCONJ
bjmsr-2230	192	14	follows	follow	VERB
bjmsr-2230	192	15	:	:	PUNCT
bjmsr-2230	192	16	con1d	con1d	NOUN
bjmsr-2230	192	17	layer	layer	NOUN
bjmsr-2230	192	18	(	(	PUNCT
bjmsr-2230	192	19	filters:64	filters:64	PROPN
bjmsr-2230	192	20	,	,	PUNCT
bjmsr-2230	192	21	filter	filter	NOUN
bjmsr-2230	192	22	size:10	size:10	PROPN
bjmsr-2230	192	23	,	,	PUNCT
bjmsr-2230	192	24	relu	relu	NOUN
bjmsr-2230	192	25	activation	activation	NOUN
bjmsr-2230	192	26	)	)	PUNCT
bjmsr-2230	193	1	+	+	CCONJ
bjmsr-2230	193	2	conv1d	conv1d	ADJ
bjmsr-2230	193	3	layer	layer	NOUN
bjmsr-2230	193	4	(	(	PUNCT
bjmsr-2230	193	5	filters:128	filters:128	NOUN
bjmsr-2230	193	6	,	,	PUNCT
bjmsr-2230	193	7	filter	filter	NOUN
bjmsr-2230	193	8	size:10	size:10	PROPN
bjmsr-2230	193	9	,	,	PUNCT
bjmsr-2230	193	10	relu	relu	NOUN
bjmsr-2230	193	11	activation	activation	NOUN
bjmsr-2230	193	12	)	)	PUNCT
bjmsr-2230	193	13	+	+	CCONJ
bjmsr-2230	193	14	maxpooling1d	maxpooling1d	NOUN
bjmsr-2230	193	15	(	(	PUNCT
bjmsr-2230	193	16	polling	polling	NOUN
bjmsr-2230	193	17	size:4	size:4	X
bjmsr-2230	193	18	)	)	PUNCT
bjmsr-2230	194	1	+	+	X
bjmsr-2230	194	2	dropout	dropout	NOUN
bjmsr-2230	194	3	(	(	PUNCT
bjmsr-2230	194	4	0.4	0.4	NUM
bjmsr-2230	194	5	)	)	PUNCT
bjmsr-2230	195	1	+	+	CCONJ
bjmsr-2230	195	2	conv1d	conv1d	ADJ
bjmsr-2230	195	3	layer	layer	NOUN
bjmsr-2230	195	4	(	(	PUNCT
bjmsr-2230	195	5	filters:128	filters:128	NOUN
bjmsr-2230	195	6	,	,	PUNCT
bjmsr-2230	195	7	filter	filter	NOUN
bjmsr-2230	195	8	size:10	size:10	PROPN
bjmsr-2230	195	9	,	,	PUNCT
bjmsr-2230	195	10	relu	relu	NOUN
bjmsr-2230	195	11	activation	activation	NOUN
bjmsr-2230	195	12	)	)	PUNCT
bjmsr-2230	195	13	+	+	CCONJ
bjmsr-2230	195	14	maxpooling1d	maxpooling1d	NOUN
bjmsr-2230	195	15	(	(	PUNCT
bjmsr-2230	195	16	polling	polling	NOUN
bjmsr-2230	195	17	size:4	size:4	X
bjmsr-2230	195	18	)	)	PUNCT
bjmsr-2230	196	1	+	+	X
bjmsr-2230	196	2	dropout	dropout	NOUN
bjmsr-2230	196	3	(	(	PUNCT
bjmsr-2230	196	4	0.4	0.4	NUM
bjmsr-2230	196	5	)	)	PUNCT
bjmsr-2230	197	1	+	+	CCONJ
bjmsr-2230	197	2	lstm	lstm	ADJ
bjmsr-2230	197	3	layer	layer	NOUN
bjmsr-2230	197	4	(	(	PUNCT
bjmsr-2230	197	5	neurons	neuron	NOUN
bjmsr-2230	197	6	:	:	PUNCT
bjmsr-2230	197	7	100	100	NUM
bjmsr-2230	197	8	)	)	PUNCT
bjmsr-2230	197	9	+	+	PUNCT
bjmsr-2230	197	10	dropout	dropout	NOUN
bjmsr-2230	197	11	(	(	PUNCT
bjmsr-2230	197	12	0.4	0.4	NUM
bjmsr-2230	197	13	)	)	PUNCT
bjmsr-2230	198	1	+	+	CCONJ
bjmsr-2230	198	2	dense	dense	ADJ
bjmsr-2230	198	3	layer	layer	NOUN
bjmsr-2230	198	4	(	(	PUNCT
bjmsr-2230	198	5	neurons	neuron	NOUN
bjmsr-2230	198	6	:	:	PUNCT
bjmsr-2230	198	7	6	6	NUM
bjmsr-2230	198	8	,	,	PUNCT
bjmsr-2230	198	9	softmax	softmax	NOUN
bjmsr-2230	198	10	activation	activation	NOUN
bjmsr-2230	198	11	)	)	PUNCT
bjmsr-2230	198	12	.	.	PUNCT
bjmsr-2230	199	1	figure	figure	VERB
bjmsr-2230	199	2	3	3	NUM
bjmsr-2230	199	3	.	.	PUNCT
bjmsr-2230	200	1	the	the	DET
bjmsr-2230	200	2	structure	structure	NOUN
bjmsr-2230	200	3	of	of	ADP
bjmsr-2230	200	4	the	the	DET
bjmsr-2230	200	5	proposed	propose	VERB
bjmsr-2230	200	6	cnn	cnn	PROPN
bjmsr-2230	200	7	-	-	PUNCT
bjmsr-2230	200	8	lstm	lstm	PROPN
bjmsr-2230	200	9	model	model	NOUN
bjmsr-2230	200	10	results	result	NOUN
bjmsr-2230	200	11	and	and	CCONJ
bjmsr-2230	200	12	discussions	discussion	NOUN
bjmsr-2230	200	13	both	both	CCONJ
bjmsr-2230	200	14	the	the	DET
bjmsr-2230	200	15	assamese	assamese	ADJ
bjmsr-2230	200	16	and	and	CCONJ
bjmsr-2230	200	17	ravdess	ravdess	NOUN
bjmsr-2230	200	18	databases	database	NOUN
bjmsr-2230	200	19	are	be	AUX
bjmsr-2230	200	20	divided	divide	VERB
bjmsr-2230	200	21	into	into	ADP
bjmsr-2230	200	22	training	training	NOUN
bjmsr-2230	200	23	and	and	CCONJ
bjmsr-2230	200	24	testing	testing	NOUN
bjmsr-2230	200	25	samples	sample	NOUN
bjmsr-2230	200	26	.	.	PUNCT
bjmsr-2230	201	1	out	out	ADP
bjmsr-2230	201	2	of	of	ADP
bjmsr-2230	201	3	these	these	DET
bjmsr-2230	201	4	samples	sample	NOUN
bjmsr-2230	201	5	,	,	PUNCT
bjmsr-2230	201	6	80	80	NUM
bjmsr-2230	201	7	%	%	NOUN
bjmsr-2230	201	8	of	of	ADP
bjmsr-2230	201	9	data	datum	NOUN
bjmsr-2230	201	10	are	be	AUX
bjmsr-2230	201	11	used	use	VERB
bjmsr-2230	201	12	for	for	ADP
bjmsr-2230	201	13	training	training	NOUN
bjmsr-2230	201	14	,	,	PUNCT
bjmsr-2230	201	15	and	and	CCONJ
bjmsr-2230	201	16	20	20	NUM
bjmsr-2230	201	17	%	%	NOUN
bjmsr-2230	201	18	of	of	ADP
bjmsr-2230	201	19	data	datum	NOUN
bjmsr-2230	201	20	are	be	AUX
bjmsr-2230	201	21	used	use	VERB
bjmsr-2230	201	22	for	for	ADP
bjmsr-2230	201	23	testing	testing	NOUN
bjmsr-2230	201	24	purposes	purpose	NOUN
bjmsr-2230	201	25	.	.	PUNCT
bjmsr-2230	202	1	the	the	DET
bjmsr-2230	202	2	individual	individual	ADJ
bjmsr-2230	202	3	performances	performance	NOUN
bjmsr-2230	202	4	of	of	ADP
bjmsr-2230	202	5	each	each	DET
bjmsr-2230	202	6	feature	feature	NOUN
bjmsr-2230	202	7	category	category	NOUN
bjmsr-2230	202	8	have	have	AUX
bjmsr-2230	202	9	been	be	AUX
bjmsr-2230	202	10	constructed	construct	VERB
bjmsr-2230	202	11	,	,	PUNCT
bjmsr-2230	202	12	and	and	CCONJ
bjmsr-2230	202	13	the	the	DET
bjmsr-2230	202	14	accuracy	accuracy	NOUN
bjmsr-2230	202	15	values	value	NOUN
bjmsr-2230	202	16	obtained	obtain	VERB
bjmsr-2230	202	17	with	with	ADP
bjmsr-2230	202	18	different	different	ADJ
bjmsr-2230	202	19	classifiers	classifier	NOUN
bjmsr-2230	202	20	are	be	AUX
bjmsr-2230	202	21	shown	show	VERB
bjmsr-2230	202	22	in	in	ADP
bjmsr-2230	202	23	table	table	NOUN
bjmsr-2230	202	24	2	2	NUM
bjmsr-2230	202	25	.	.	PUNCT
bjmsr-2230	203	1	the	the	DET
bjmsr-2230	203	2	overall	overall	ADJ
bjmsr-2230	203	3	comparison	comparison	NOUN
bjmsr-2230	203	4	of	of	ADP
bjmsr-2230	203	5	accuracies	accuracy	NOUN
bjmsr-2230	203	6	is	be	AUX
bjmsr-2230	203	7	depicted	depict	VERB
bjmsr-2230	203	8	in	in	ADP
bjmsr-2230	203	9	figure	figure	NOUN
bjmsr-2230	203	10	4	4	NUM
bjmsr-2230	203	11	for	for	ADP
bjmsr-2230	203	12	the	the	DET
bjmsr-2230	203	13	entire	entire	ADJ
bjmsr-2230	203	14	classification	classification	NOUN
bjmsr-2230	203	15	model	model	NOUN
bjmsr-2230	203	16	,	,	PUNCT
bjmsr-2230	203	17	in	in	ADP
bjmsr-2230	203	18	which	which	PRON
bjmsr-2230	203	19	the	the	DET
bjmsr-2230	203	20	classification	classification	NOUN
bjmsr-2230	203	21	accuracy	accuracy	NOUN
bjmsr-2230	203	22	of	of	ADP
bjmsr-2230	203	23	the	the	DET
bjmsr-2230	203	24	cnn	cnn	PROPN
bjmsr-2230	203	25	-	-	PUNCT
bjmsr-2230	203	26	lstm	lstm	PROPN
bjmsr-2230	203	27	model	model	NOUN
bjmsr-2230	203	28	is	be	AUX
bjmsr-2230	203	29	better	well	ADJ
bjmsr-2230	203	30	compared	compare	VERB
bjmsr-2230	203	31	to	to	ADP
bjmsr-2230	203	32	the	the	DET
bjmsr-2230	203	33	other	other	ADJ
bjmsr-2230	203	34	classification	classification	NOUN
bjmsr-2230	203	35	models	model	NOUN
bjmsr-2230	203	36	.	.	PUNCT
bjmsr-2230	204	1	the	the	DET
bjmsr-2230	204	2	results	result	NOUN
bjmsr-2230	204	3	are	be	AUX
bjmsr-2230	204	4	presented	present	VERB
bjmsr-2230	204	5	in	in	ADP
bjmsr-2230	204	6	terms	term	NOUN
bjmsr-2230	204	7	of	of	ADP
bjmsr-2230	204	8	accuracy	accuracy	NOUN
bjmsr-2230	204	9	(	(	PUNCT
bjmsr-2230	204	10	eq.(2	eq.(2	ADJ
bjmsr-2230	204	11	)	)	PUNCT
bjmsr-2230	204	12	)	)	PUNCT
bjmsr-2230	204	13	,	,	PUNCT
bjmsr-2230	204	14	recall	recall	INTJ
bjmsr-2230	204	15	(	(	PUNCT
bjmsr-2230	204	16	eq	eq	NOUN
bjmsr-2230	204	17	.	.	PUNCT
bjmsr-2230	205	1	(	(	PUNCT
bjmsr-2230	205	2	3	3	NUM
bjmsr-2230	205	3	)	)	PUNCT
bjmsr-2230	205	4	)	)	PUNCT
bjmsr-2230	205	5	,	,	PUNCT
bjmsr-2230	205	6	precision	precision	NOUN
bjmsr-2230	205	7	(	(	PUNCT
bjmsr-2230	205	8	eq.(4	eq.(4	ADJ
bjmsr-2230	205	9	)	)	PUNCT
bjmsr-2230	205	10	)	)	PUNCT
bjmsr-2230	205	11	,	,	PUNCT
bjmsr-2230	205	12	and	and	CCONJ
bjmsr-2230	205	13	fmeasure	fmeasure	NOUN
bjmsr-2230	205	14	(	(	PUNCT
bjmsr-2230	205	15	eq	eq	NOUN
bjmsr-2230	205	16	.	.	PUNCT
bjmsr-2230	206	1	(	(	PUNCT
bjmsr-2230	206	2	5	5	NUM
bjmsr-2230	206	3	)	)	PUNCT
bjmsr-2230	206	4	)	)	PUNCT
bjmsr-2230	207	1	(	(	PUNCT
bjmsr-2230	207	2	hizlisoy	hizlisoy	NOUN
bjmsr-2230	207	3	et	et	PROPN
bjmsr-2230	207	4	al	al	PROPN
bjmsr-2230	207	5	.	.	PROPN
bjmsr-2230	207	6	,	,	PUNCT
bjmsr-2230	207	7	2021	2021	NUM
bjmsr-2230	207	8	)	)	PUNCT
bjmsr-2230	207	9	.	.	PUNCT
bjmsr-2230	208	1	the	the	DET
bjmsr-2230	208	2	value	value	NOUN
bjmsr-2230	208	3	of	of	ADP
bjmsr-2230	208	4	accuracy	accuracy	NOUN
bjmsr-2230	208	5	is	be	AUX
bjmsr-2230	208	6	calculated	calculate	VERB
bjmsr-2230	208	7	using	use	VERB
bjmsr-2230	208	8	the	the	DET
bjmsr-2230	208	9	equation	equation	NOUN
bjmsr-2230	208	10	as	as	SCONJ
bjmsr-2230	208	11	defined	define	VERB
bjmsr-2230	208	12	in	in	ADP
bjmsr-2230	208	13	eq	eq	ADP
bjmsr-2230	208	14	.	.	PUNCT
bjmsr-2230	209	1	(	(	PUNCT
bjmsr-2230	209	2	2	2	NUM
bjmsr-2230	209	3	)	)	PUNCT
bjmsr-2230	209	4	.	.	PUNCT
bjmsr-2230	210	1	accuracy=	accuracy=	PUNCT
bjmsr-2230	210	2	(	(	PUNCT
bjmsr-2230	210	3	true	true	ADJ
bjmsr-2230	210	4	positive+true	positive+true	PROPN
bjmsr-2230	210	5	negative)/(true	negative)/(true	PROPN
bjmsr-2230	210	6	positive+true	positive+true	PROPN
bjmsr-2230	210	7	negative+false	negative+false	PROPN
bjmsr-2230	210	8	positive+false	positive+false	PROPN
bjmsr-2230	210	9	negative	negative	ADJ
bjmsr-2230	210	10	)	)	PUNCT
bjmsr-2230	210	11	----------(2	----------(2	NOUN
bjmsr-2230	210	12	)	)	PUNCT
bjmsr-2230	210	13	table	table	NOUN
bjmsr-2230	210	14	2	2	NUM
bjmsr-2230	210	15	.	.	PUNCT
bjmsr-2230	211	1	emotion	emotion	NOUN
bjmsr-2230	211	2	recognition	recognition	NOUN
bjmsr-2230	211	3	accuracy	accuracy	NOUN
bjmsr-2230	211	4	of	of	ADP
bjmsr-2230	211	5	different	different	ADJ
bjmsr-2230	211	6	classifiers	classifier	NOUN
bjmsr-2230	211	7	sl	sl	VERB
bjmsr-2230	211	8	no	no	INTJ
bjmsr-2230	211	9	.	.	PUNCT
bjmsr-2230	212	1	classifiers	classifier	NOUN
bjmsr-2230	212	2	accuracy	accuracy	NOUN
bjmsr-2230	212	3	in	in	ADP
bjmsr-2230	212	4	%	%	NOUN
bjmsr-2230	212	5	for	for	ADP
bjmsr-2230	212	6	assamese	assamese	ADJ
bjmsr-2230	212	7	dataset	dataset	ADJ
bjmsr-2230	212	8	accuracy	accuracy	NOUN
bjmsr-2230	212	9	in	in	ADP
bjmsr-2230	212	10	%	%	NOUN
bjmsr-2230	212	11	for	for	ADP
bjmsr-2230	212	12	ravdess	ravdess	NOUN
bjmsr-2230	212	13	song	song	NOUN
bjmsr-2230	212	14	dataset	dataset	VERB
bjmsr-2230	212	15	1	1	NUM
bjmsr-2230	212	16	decision	decision	NOUN
bjmsr-2230	212	17	tree	tree	NOUN
bjmsr-2230	212	18	72.50	72.50	NUM
bjmsr-2230	212	19	60.59	60.59	NUM
bjmsr-2230	212	20	2	2	NUM
bjmsr-2230	212	21	kneighbors	kneighbor	NOUN
bjmsr-2230	212	22	65.00	65.00	NUM
bjmsr-2230	212	23	78.33	78.33	NUM
bjmsr-2230	212	24	3	3	NUM
bjmsr-2230	212	25	random	random	ADJ
bjmsr-2230	212	26	forest	forest	NOUN
bjmsr-2230	212	27	82.50	82.50	NUM
bjmsr-2230	212	28	81.28	81.28	NUM
bjmsr-2230	212	29	4	4	NUM
bjmsr-2230	212	30	lstm	lstm	NOUN
bjmsr-2230	212	31	77.50	77.50	NUM
bjmsr-2230	212	32	81.77	81.77	NUM
bjmsr-2230	212	33	5	5	NUM
bjmsr-2230	212	34	mlp	mlp	NOUN
bjmsr-2230	212	35	80.00	80.00	NUM
bjmsr-2230	212	36	82.76	82.76	NUM
bjmsr-2230	212	37	6	6	NUM
bjmsr-2230	212	38	cnn	cnn	PROPN
bjmsr-2230	212	39	82.50	82.50	NUM
bjmsr-2230	212	40	87.68	87.68	NUM
bjmsr-2230	212	41	7	7	NUM
bjmsr-2230	212	42	cnn	cnn	PROPN
bjmsr-2230	212	43	-	-	PUNCT
bjmsr-2230	212	44	lstm	lstm	ADJ
bjmsr-2230	212	45	85.00	85.00	NUM
bjmsr-2230	212	46	89.66	89.66	NUM
bjmsr-2230	212	47	figure	figure	NOUN
bjmsr-2230	212	48	4	4	NUM
bjmsr-2230	212	49	.	.	PUNCT
bjmsr-2230	213	1	overall	overall	ADJ
bjmsr-2230	213	2	classification	classification	NOUN
bjmsr-2230	213	3	accuracy	accuracy	NOUN
bjmsr-2230	213	4	6	6	NUM
bjmsr-2230	213	5	0	0	NUM
bjmsr-2230	213	6	.5	.5	NUM
bjmsr-2230	213	7	9	9	NUM
bjmsr-2230	213	8	7	7	NUM
bjmsr-2230	213	9	8	8	NUM
bjmsr-2230	213	10	.3	.3	NUM
bjmsr-2230	213	11	3	3	NUM
bjmsr-2230	213	12	8	8	NUM
bjmsr-2230	213	13	1	1	NUM
bjmsr-2230	213	14	.2	.2	NUM
bjmsr-2230	213	15	8	8	NUM
bjmsr-2230	213	16	8	8	NUM
bjmsr-2230	213	17	1	1	NUM
bjmsr-2230	213	18	.7	.7	NUM
bjmsr-2230	213	19	7	7	NUM
bjmsr-2230	213	20	8	8	NUM
bjmsr-2230	213	21	2	2	NUM
bjmsr-2230	213	22	.7	.7	NUM
bjmsr-2230	213	23	6	6	NUM
bjmsr-2230	213	24	8	8	NUM
bjmsr-2230	213	25	7	7	NUM
bjmsr-2230	213	26	.6	.6	NUM
bjmsr-2230	213	27	8	8	NUM
bjmsr-2230	213	28	8	8	NUM
bjmsr-2230	213	29	9	9	NUM
bjmsr-2230	213	30	.6	.6	NUM
bjmsr-2230	213	31	6	6	NUM
bjmsr-2230	213	32	7	7	NUM
bjmsr-2230	213	33	2	2	NUM
bjmsr-2230	213	34	.5	.5	NUM
bjmsr-2230	213	35	6	6	NUM
bjmsr-2230	213	36	5	5	NUM
bjmsr-2230	213	37	8	8	NUM
bjmsr-2230	213	38	2	2	NUM
bjmsr-2230	213	39	.5	.5	NUM
bjmsr-2230	213	40	7	7	NUM
bjmsr-2230	213	41	7	7	NUM
bjmsr-2230	213	42	.5	.5	NUM
bjmsr-2230	213	43	8	8	NUM
bjmsr-2230	213	44	0	0	NUM
bjmsr-2230	213	45	8	8	NUM
bjmsr-2230	213	46	2	2	NUM
bjmsr-2230	213	47	.5	.5	NUM
bjmsr-2230	213	48	8	8	NUM
bjmsr-2230	213	49	5	5	NUM
bjmsr-2230	213	50	d	d	NOUN
bjmsr-2230	213	51	e	e	X
bjmsr-2230	213	52	c	c	NOUN
bjmsr-2230	214	1	i	i	PRON
bjmsr-2230	214	2	s	s	VERB
bjmsr-2230	214	3	i	i	PRON
bjmsr-2230	214	4	o	o	NOUN
bjmsr-2230	215	1	n	n	NOUN
bjmsr-2230	216	1	t	t	NOUN
bjmsr-2230	216	2	r	r	NOUN
bjmsr-2230	216	3	e	e	X
bjmsr-2230	216	4	e	e	X
bjmsr-2230	216	5	k	k	PROPN
bjmsr-2230	216	6	n	n	PROPN
bjmsr-2230	216	7	e	e	X
bjmsr-2230	216	8	i	i	PRON
bjmsr-2230	216	9	g	g	PROPN
bjmsr-2230	216	10	h	h	NOUN
bjmsr-2230	217	1	b	b	NOUN
bjmsr-2230	217	2	o	o	NOUN
bjmsr-2230	217	3	r	r	NOUN
bjmsr-2230	217	4	s	s	NOUN
bjmsr-2230	217	5	r	r	NOUN
bjmsr-2230	217	6	a	a	DET
bjmsr-2230	217	7	n	n	NOUN
bjmsr-2230	218	1	d	d	NOUN
bjmsr-2230	218	2	o	o	NOUN
bjmsr-2230	218	3	m	m	NOUN
bjmsr-2230	218	4	f	f	NOUN
bjmsr-2230	218	5	o	o	NOUN
bjmsr-2230	218	6	r	r	NOUN
bjmsr-2230	218	7	e	e	NOUN
bjmsr-2230	218	8	s	s	PROPN
bjmsr-2230	218	9	t	t	PROPN
bjmsr-2230	218	10	l	l	NOUN
bjmsr-2230	218	11	s	s	PROPN
bjmsr-2230	218	12	t	t	X
bjmsr-2230	218	13	m	m	NOUN
bjmsr-2230	218	14	m	m	VERB
bjmsr-2230	218	15	l	l	NOUN
bjmsr-2230	218	16	p	p	NOUN
bjmsr-2230	218	17	c	c	PROPN
bjmsr-2230	218	18	n	n	CCONJ
bjmsr-2230	218	19	n	n	PROPN
bjmsr-2230	218	20	c	c	NOUN
bjmsr-2230	218	21	n	n	CCONJ
bjmsr-2230	218	22	n	n	PROPN
bjmsr-2230	219	1	+	+	NUM
bjmsr-2230	219	2	l	l	NOUN
bjmsr-2230	219	3	s	s	X
bjmsr-2230	219	4	t	t	PROPN
bjmsr-2230	219	5	m	m	PROPN
bjmsr-2230	219	6	ravdess	ravdess	PROPN
bjmsr-2230	219	7	dataset	dataset	VERB
bjmsr-2230	219	8	assamese	assamese	PROPN
bjmsr-2230	219	9	dataset	dataset	PROPN
bjmsr-2230	219	10	dutta	dutta	PROPN
bjmsr-2230	219	11	&	&	CCONJ
bjmsr-2230	219	12	chanda	chanda	PROPN
bjmsr-2230	219	13	,	,	PUNCT
bjmsr-2230	219	14	bangladesh	bangladesh	PROPN
bjmsr-2230	219	15	journal	journal	NOUN
bjmsr-2230	219	16	of	of	ADP
bjmsr-2230	219	17	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	219	18	scientific	scientific	ADJ
bjmsr-2230	219	19	research	research	NOUN
bjmsr-2230	219	20	9(3	9(3	NUM
bjmsr-2230	219	21	)	)	PUNCT
bjmsr-2230	219	22	(	(	PUNCT
bjmsr-2230	219	23	2024	2024	NUM
bjmsr-2230	219	24	)	)	PUNCT
bjmsr-2230	219	25	,	,	PUNCT
bjmsr-2230	219	26	21	21	NUM
bjmsr-2230	219	27	-	-	SYM
bjmsr-2230	219	28	32	32	NUM
bjmsr-2230	219	29	27	27	NUM
bjmsr-2230	219	30	the	the	DET
bjmsr-2230	219	31	confusion	confusion	NOUN
bjmsr-2230	219	32	matrix	matrix	NOUN
bjmsr-2230	219	33	of	of	ADP
bjmsr-2230	219	34	emotion	emotion	NOUN
bjmsr-2230	219	35	recognition	recognition	NOUN
bjmsr-2230	219	36	with	with	ADP
bjmsr-2230	219	37	cnn	cnn	PROPN
bjmsr-2230	219	38	-	-	PUNCT
bjmsr-2230	219	39	lstm	lstm	PROPN
bjmsr-2230	219	40	classifiers	classifier	NOUN
bjmsr-2230	219	41	are	be	AUX
bjmsr-2230	219	42	depicted	depict	VERB
bjmsr-2230	219	43	in	in	ADP
bjmsr-2230	219	44	table	table	NOUN
bjmsr-2230	219	45	3	3	NUM
bjmsr-2230	219	46	.	.	PUNCT
bjmsr-2230	220	1	the	the	DET
bjmsr-2230	220	2	confusion	confusion	NOUN
bjmsr-2230	220	3	matrix	matrix	NOUN
bjmsr-2230	220	4	shows	show	VERB
bjmsr-2230	220	5	how	how	SCONJ
bjmsr-2230	220	6	the	the	DET
bjmsr-2230	220	7	results	result	NOUN
bjmsr-2230	220	8	of	of	ADP
bjmsr-2230	220	9	the	the	DET
bjmsr-2230	220	10	classification	classification	NOUN
bjmsr-2230	220	11	model	model	NOUN
bjmsr-2230	220	12	are	be	AUX
bjmsr-2230	220	13	distributed	distribute	VERB
bjmsr-2230	220	14	over	over	ADP
bjmsr-2230	220	15	the	the	DET
bjmsr-2230	220	16	whole	whole	ADJ
bjmsr-2230	220	17	sets	set	NOUN
bjmsr-2230	220	18	of	of	ADP
bjmsr-2230	220	19	emotion	emotion	NOUN
bjmsr-2230	220	20	classes	class	NOUN
bjmsr-2230	220	21	.	.	PUNCT
bjmsr-2230	221	1	the	the	DET
bjmsr-2230	221	2	matrix	matrix	NOUN
bjmsr-2230	221	3	evaluates	evaluate	VERB
bjmsr-2230	221	4	the	the	DET
bjmsr-2230	221	5	performance	performance	NOUN
bjmsr-2230	221	6	of	of	ADP
bjmsr-2230	221	7	a	a	DET
bjmsr-2230	221	8	classification	classification	NOUN
bjmsr-2230	221	9	model	model	NOUN
bjmsr-2230	221	10	.	.	PUNCT
bjmsr-2230	222	1	for	for	ADP
bjmsr-2230	222	2	example	example	NOUN
bjmsr-2230	222	3	,	,	PUNCT
bjmsr-2230	222	4	in	in	ADP
bjmsr-2230	222	5	table	table	NOUN
bjmsr-2230	222	6	3	3	NUM
bjmsr-2230	222	7	,	,	PUNCT
bjmsr-2230	222	8	in	in	ADP
bjmsr-2230	222	9	the	the	DET
bjmsr-2230	222	10	third	third	ADJ
bjmsr-2230	222	11	row	row	NOUN
bjmsr-2230	222	12	,	,	PUNCT
bjmsr-2230	222	13	42	42	NUM
bjmsr-2230	222	14	samples	sample	NOUN
bjmsr-2230	222	15	belong	belong	VERB
bjmsr-2230	222	16	to	to	ADP
bjmsr-2230	222	17	the	the	DET
bjmsr-2230	222	18	target	target	NOUN
bjmsr-2230	222	19	class	class	NOUN
bjmsr-2230	222	20	happy	happy	ADJ
bjmsr-2230	222	21	.	.	PUNCT
bjmsr-2230	223	1	out	out	ADP
bjmsr-2230	223	2	of	of	ADP
bjmsr-2230	223	3	which	which	PRON
bjmsr-2230	223	4	,	,	PUNCT
bjmsr-2230	223	5	38	38	NUM
bjmsr-2230	223	6	samples	sample	NOUN
bjmsr-2230	223	7	are	be	AUX
bjmsr-2230	223	8	correctly	correctly	ADV
bjmsr-2230	223	9	classified	classify	VERB
bjmsr-2230	223	10	by	by	ADP
bjmsr-2230	223	11	the	the	DET
bjmsr-2230	223	12	model	model	NOUN
bjmsr-2230	223	13	and	and	CCONJ
bjmsr-2230	223	14	4	4	NUM
bjmsr-2230	223	15	samples	sample	NOUN
bjmsr-2230	223	16	are	be	AUX
bjmsr-2230	223	17	misclassified	misclassifie	VERB
bjmsr-2230	223	18	as	as	ADP
bjmsr-2230	223	19	calm	calm	ADJ
bjmsr-2230	223	20	.	.	PUNCT
bjmsr-2230	224	1	therefore	therefore	ADV
bjmsr-2230	224	2	the	the	DET
bjmsr-2230	224	3	classification	classification	NOUN
bjmsr-2230	224	4	accuracy	accuracy	NOUN
bjmsr-2230	224	5	for	for	ADP
bjmsr-2230	224	6	that	that	DET
bjmsr-2230	224	7	particular	particular	ADJ
bjmsr-2230	224	8	emotion	emotion	NOUN
bjmsr-2230	224	9	is	be	AUX
bjmsr-2230	224	10	90.48	90.48	NUM
bjmsr-2230	224	11	%	%	NOUN
bjmsr-2230	224	12	.	.	PUNCT
bjmsr-2230	225	1	this	this	DET
bjmsr-2230	225	2	percentage	percentage	NOUN
bjmsr-2230	225	3	is	be	AUX
bjmsr-2230	225	4	known	know	VERB
bjmsr-2230	225	5	as	as	ADP
bjmsr-2230	225	6	recall	recall	NOUN
bjmsr-2230	225	7	value	value	NOUN
bjmsr-2230	225	8	.	.	PUNCT
bjmsr-2230	226	1	recall=	recall=	VERB
bjmsr-2230	226	2	true	true	ADJ
bjmsr-2230	226	3	positive	positive	ADJ
bjmsr-2230	226	4	true	true	ADJ
bjmsr-2230	226	5	positive+false	positive+false	PROPN
bjmsr-2230	226	6	negative	negative	ADJ
bjmsr-2230	226	7	-------------------------(3	-------------------------(3	NOUN
bjmsr-2230	226	8	)	)	PUNCT
bjmsr-2230	226	9	similarly	similarly	ADV
bjmsr-2230	226	10	,	,	PUNCT
bjmsr-2230	226	11	in	in	ADP
bjmsr-2230	226	12	table	table	NOUN
bjmsr-2230	226	13	4	4	NUM
bjmsr-2230	226	14	,	,	PUNCT
bjmsr-2230	226	15	in	in	ADP
bjmsr-2230	226	16	the	the	DET
bjmsr-2230	226	17	fourth	fourth	ADJ
bjmsr-2230	226	18	column	column	NOUN
bjmsr-2230	226	19	,	,	PUNCT
bjmsr-2230	226	20	out	out	ADP
bjmsr-2230	226	21	of	of	ADP
bjmsr-2230	226	22	9	9	NUM
bjmsr-2230	226	23	samples	sample	NOUN
bjmsr-2230	226	24	,	,	PUNCT
bjmsr-2230	226	25	8	8	NUM
bjmsr-2230	226	26	samples	sample	NOUN
bjmsr-2230	226	27	correctly	correctly	ADV
bjmsr-2230	226	28	belong	belong	VERB
bjmsr-2230	226	29	to	to	ADP
bjmsr-2230	226	30	the	the	DET
bjmsr-2230	226	31	target	target	NOUN
bjmsr-2230	226	32	class	class	NOUN
bjmsr-2230	226	33	sad	sad	ADJ
bjmsr-2230	226	34	,	,	PUNCT
bjmsr-2230	226	35	and	and	CCONJ
bjmsr-2230	226	36	1	1	NUM
bjmsr-2230	226	37	sample	sample	NOUN
bjmsr-2230	226	38	is	be	AUX
bjmsr-2230	226	39	misclassified	misclassifie	VERB
bjmsr-2230	226	40	as	as	ADP
bjmsr-2230	226	41	calm	calm	ADJ
bjmsr-2230	226	42	.	.	PUNCT
bjmsr-2230	227	1	thus	thus	ADV
bjmsr-2230	227	2	the	the	DET
bjmsr-2230	227	3	percentage	percentage	NOUN
bjmsr-2230	227	4	of	of	ADP
bjmsr-2230	227	5	the	the	DET
bjmsr-2230	227	6	correctly	correctly	ADV
bjmsr-2230	227	7	classified	classified	ADJ
bjmsr-2230	227	8	sample	sample	NOUN
bjmsr-2230	227	9	is	be	AUX
bjmsr-2230	227	10	88.89	88.89	NUM
bjmsr-2230	227	11	%	%	NOUN
bjmsr-2230	227	12	.	.	PUNCT
bjmsr-2230	228	1	this	this	DET
bjmsr-2230	228	2	value	value	NOUN
bjmsr-2230	228	3	is	be	AUX
bjmsr-2230	228	4	called	call	VERB
bjmsr-2230	228	5	the	the	DET
bjmsr-2230	228	6	precision	precision	NOUN
bjmsr-2230	228	7	value	value	NOUN
bjmsr-2230	228	8	.	.	PUNCT
bjmsr-2230	229	1	precision=	precision=	NUM
bjmsr-2230	229	2	true	true	ADJ
bjmsr-2230	229	3	positive	positive	ADJ
bjmsr-2230	229	4	true	true	ADJ
bjmsr-2230	229	5	positive+false	positive+false	PROPN
bjmsr-2230	229	6	positive	positive	ADJ
bjmsr-2230	229	7	-----------------------(4	-----------------------(4	NOUN
bjmsr-2230	229	8	)	)	PUNCT
bjmsr-2230	229	9	f	f	X
bjmsr-2230	229	10	-	-	PUNCT
bjmsr-2230	229	11	measure	measure	NOUN
bjmsr-2230	229	12	is	be	AUX
bjmsr-2230	229	13	the	the	DET
bjmsr-2230	229	14	harmonic	harmonic	ADJ
bjmsr-2230	229	15	mean	mean	NOUN
bjmsr-2230	229	16	of	of	ADP
bjmsr-2230	229	17	precision	precision	NOUN
bjmsr-2230	229	18	and	and	CCONJ
bjmsr-2230	229	19	recall	recall	NOUN
bjmsr-2230	229	20	value	value	NOUN
bjmsr-2230	229	21	and	and	CCONJ
bjmsr-2230	229	22	provides	provide	VERB
bjmsr-2230	229	23	a	a	DET
bjmsr-2230	229	24	test	test	NOUN
bjmsr-2230	229	25	model	model	NOUN
bjmsr-2230	229	26	's	's	PART
bjmsr-2230	229	27	accuracy	accuracy	NOUN
bjmsr-2230	229	28	.	.	PUNCT
bjmsr-2230	230	1	it	it	PRON
bjmsr-2230	230	2	combines	combine	VERB
bjmsr-2230	230	3	precision	precision	NOUN
bjmsr-2230	230	4	and	and	CCONJ
bjmsr-2230	230	5	recall	recall	VERB
bjmsr-2230	230	6	into	into	ADP
bjmsr-2230	230	7	a	a	DET
bjmsr-2230	230	8	single	single	ADJ
bjmsr-2230	230	9	value	value	NOUN
bjmsr-2230	230	10	representing	represent	VERB
bjmsr-2230	230	11	both	both	DET
bjmsr-2230	230	12	properties	property	NOUN
bjmsr-2230	230	13	.	.	PUNCT
bjmsr-2230	231	1	if	if	SCONJ
bjmsr-2230	231	2	the	the	DET
bjmsr-2230	231	3	value	value	NOUN
bjmsr-2230	231	4	of	of	ADP
bjmsr-2230	231	5	precision	precision	NOUN
bjmsr-2230	231	6	and	and	CCONJ
bjmsr-2230	231	7	recall	recall	NOUN
bjmsr-2230	231	8	is	be	AUX
bjmsr-2230	231	9	1	1	NUM
bjmsr-2230	231	10	,	,	PUNCT
bjmsr-2230	231	11	then	then	ADV
bjmsr-2230	231	12	this	this	PRON
bjmsr-2230	231	13	gives	give	VERB
bjmsr-2230	231	14	a	a	DET
bjmsr-2230	231	15	best	good	ADJ
bjmsr-2230	231	16	f	f	ADJ
bjmsr-2230	231	17	-	-	PUNCT
bjmsr-2230	231	18	measure	measure	NOUN
bjmsr-2230	231	19	score	score	NOUN
bjmsr-2230	231	20	of	of	ADP
bjmsr-2230	231	21	1	1	NUM
bjmsr-2230	231	22	.	.	PUNCT
bjmsr-2230	232	1	f	f	X
bjmsr-2230	232	2	-	-	PUNCT
bjmsr-2230	232	3	measure=	measure=	NUM
bjmsr-2230	232	4	2	2	NUM
bjmsr-2230	232	5	×precision	×precision	NOUN
bjmsr-2230	232	6	×recall	×recall	NOUN
bjmsr-2230	232	7	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑟𝑒𝑐𝑎𝑙𝑙	𝑝𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑟𝑒𝑐𝑎𝑙𝑙	PROPN
bjmsr-2230	232	8	--------------------------------(5	--------------------------------(5	PROPN
bjmsr-2230	232	9	)	)	PUNCT
bjmsr-2230	232	10	based	base	VERB
bjmsr-2230	232	11	on	on	ADP
bjmsr-2230	232	12	the	the	DET
bjmsr-2230	232	13	confusion	confusion	NOUN
bjmsr-2230	232	14	matrix	matrix	NOUN
bjmsr-2230	232	15	in	in	ADP
bjmsr-2230	232	16	table	table	NOUN
bjmsr-2230	232	17	3	3	NUM
bjmsr-2230	232	18	and	and	CCONJ
bjmsr-2230	232	19	table	table	NOUN
bjmsr-2230	232	20	4	4	NUM
bjmsr-2230	232	21	,	,	PUNCT
bjmsr-2230	232	22	a	a	DET
bjmsr-2230	232	23	set	set	NOUN
bjmsr-2230	232	24	of	of	ADP
bjmsr-2230	232	25	evaluation	evaluation	NOUN
bjmsr-2230	232	26	measures	measure	NOUN
bjmsr-2230	232	27	have	have	AUX
bjmsr-2230	232	28	been	be	AUX
bjmsr-2230	232	29	calculated	calculate	VERB
bjmsr-2230	232	30	,	,	PUNCT
bjmsr-2230	232	31	as	as	SCONJ
bjmsr-2230	232	32	shown	show	VERB
bjmsr-2230	232	33	in	in	ADP
bjmsr-2230	232	34	table	table	NOUN
bjmsr-2230	232	35	5	5	NUM
bjmsr-2230	232	36	and	and	CCONJ
bjmsr-2230	232	37	table	table	NOUN
bjmsr-2230	232	38	6	6	NUM
bjmsr-2230	232	39	.	.	PUNCT
bjmsr-2230	232	40	table	table	NOUN
bjmsr-2230	232	41	3	3	NUM
bjmsr-2230	232	42	.	.	PUNCT
bjmsr-2230	232	43	confusion	confusion	NOUN
bjmsr-2230	232	44	matrix	matrix	NOUN
bjmsr-2230	232	45	for	for	ADP
bjmsr-2230	232	46	ravdess	ravdess	NOUN
bjmsr-2230	232	47	song	song	NOUN
bjmsr-2230	232	48	dataset	dataset	NOUN
bjmsr-2230	232	49	using	use	VERB
bjmsr-2230	232	50	cnn	cnn	PROPN
bjmsr-2230	232	51	-	-	PUNCT
bjmsr-2230	232	52	lstm	lstm	ADJ
bjmsr-2230	232	53	classifier	classifier	NOUN
bjmsr-2230	232	54	table	table	NOUN
bjmsr-2230	232	55	4	4	NUM
bjmsr-2230	232	56	.	.	PUNCT
bjmsr-2230	232	57	confusion	confusion	NOUN
bjmsr-2230	232	58	matrix	matrix	NOUN
bjmsr-2230	232	59	for	for	ADP
bjmsr-2230	232	60	assamese	assamese	ADJ
bjmsr-2230	232	61	song	song	NOUN
bjmsr-2230	232	62	dataset	dataset	NOUN
bjmsr-2230	232	63	using	use	VERB
bjmsr-2230	232	64	cnn	cnn	PROPN
bjmsr-2230	232	65	-	-	PUNCT
bjmsr-2230	232	66	lstm	lstm	ADJ
bjmsr-2230	232	67	classifier	classifier	NOUN
bjmsr-2230	232	68	for	for	ADP
bjmsr-2230	232	69	the	the	DET
bjmsr-2230	232	70	ravdess	ravdess	NOUN
bjmsr-2230	232	71	song	song	NOUN
bjmsr-2230	232	72	dataset	dataset	PROPN
bjmsr-2230	232	73	,	,	PUNCT
bjmsr-2230	232	74	the	the	DET
bjmsr-2230	232	75	cnn	cnn	PROPN
bjmsr-2230	232	76	-	-	PUNCT
bjmsr-2230	232	77	lstm	lstm	PROPN
bjmsr-2230	232	78	model	model	NOUN
bjmsr-2230	232	79	trained	train	VERB
bjmsr-2230	232	80	with	with	ADP
bjmsr-2230	232	81	281,286	281,286	NUM
bjmsr-2230	232	82	parameters	parameter	NOUN
bjmsr-2230	232	83	and	and	CCONJ
bjmsr-2230	232	84	with	with	ADP
bjmsr-2230	232	85	200	200	NUM
bjmsr-2230	232	86	epochs	epoch	NOUN
bjmsr-2230	232	87	has	have	AUX
bjmsr-2230	232	88	shown	show	VERB
bjmsr-2230	232	89	an	an	DET
bjmsr-2230	232	90	accuracy	accuracy	NOUN
bjmsr-2230	232	91	of	of	ADP
bjmsr-2230	232	92	89.66	89.66	NUM
bjmsr-2230	232	93	%	%	NOUN
bjmsr-2230	232	94	.	.	PUNCT
bjmsr-2230	233	1	the	the	DET
bjmsr-2230	233	2	model	model	NOUN
bjmsr-2230	233	3	accuracy	accuracy	NOUN
bjmsr-2230	233	4	with	with	ADP
bjmsr-2230	233	5	cnn	cnn	PROPN
bjmsr-2230	233	6	-	-	PUNCT
bjmsr-2230	233	7	lstm	lstm	PROPN
bjmsr-2230	233	8	classifiers	classifier	NOUN
bjmsr-2230	233	9	and	and	CCONJ
bjmsr-2230	233	10	the	the	DET
bjmsr-2230	233	11	corresponding	corresponding	ADJ
bjmsr-2230	233	12	model	model	NOUN
bjmsr-2230	233	13	loss	loss	NOUN
bjmsr-2230	233	14	is	be	AUX
bjmsr-2230	233	15	shown	show	VERB
bjmsr-2230	233	16	in	in	ADP
bjmsr-2230	233	17	figure	figure	NOUN
bjmsr-2230	233	18	5	5	NUM
bjmsr-2230	233	19	figure	figure	NOUN
bjmsr-2230	233	20	5	5	NUM
bjmsr-2230	233	21	.	.	PUNCT
bjmsr-2230	233	22	model	model	NOUN
bjmsr-2230	233	23	accuracy	accuracy	NOUN
bjmsr-2230	233	24	and	and	CCONJ
bjmsr-2230	233	25	the	the	DET
bjmsr-2230	233	26	corresponding	corresponding	ADJ
bjmsr-2230	233	27	model	model	NOUN
bjmsr-2230	233	28	loss	loss	NOUN
bjmsr-2230	233	29	for	for	ADP
bjmsr-2230	233	30	the	the	DET
bjmsr-2230	233	31	ravdess	ravdess	NOUN
bjmsr-2230	233	32	dataset	dataset	NOUN
bjmsr-2230	233	33	using	use	VERB
bjmsr-2230	233	34	cnn	cnn	PROPN
bjmsr-2230	233	35	-	-	PUNCT
bjmsr-2230	233	36	lstm	lstm	ADJ
bjmsr-2230	233	37	classifier	classifier	NOUN
bjmsr-2230	233	38	for	for	ADP
bjmsr-2230	233	39	the	the	DET
bjmsr-2230	233	40	assamese	assamese	PROPN
bjmsr-2230	233	41	dataset	dataset	NOUN
bjmsr-2230	233	42	,	,	PUNCT
bjmsr-2230	233	43	the	the	DET
bjmsr-2230	233	44	cnn	cnn	PROPN
bjmsr-2230	233	45	-	-	PUNCT
bjmsr-2230	233	46	lstm	lstm	PROPN
bjmsr-2230	233	47	model	model	NOUN
bjmsr-2230	233	48	trained	train	VERB
bjmsr-2230	233	49	with	with	ADP
bjmsr-2230	233	50	338,724	338,724	NUM
bjmsr-2230	233	51	parameters	parameter	NOUN
bjmsr-2230	233	52	and	and	CCONJ
bjmsr-2230	233	53	with	with	ADP
bjmsr-2230	233	54	100	100	NUM
bjmsr-2230	233	55	epochs	epoch	NOUN
bjmsr-2230	233	56	has	have	AUX
bjmsr-2230	233	57	shown	show	VERB
bjmsr-2230	233	58	an	an	DET
bjmsr-2230	233	59	accuracy	accuracy	NOUN
bjmsr-2230	233	60	of	of	ADP
bjmsr-2230	233	61	85.00	85.00	NUM
bjmsr-2230	233	62	%	%	NOUN
bjmsr-2230	233	63	.	.	PUNCT
bjmsr-2230	234	1	the	the	DET
bjmsr-2230	234	2	model	model	NOUN
bjmsr-2230	234	3	accuracy	accuracy	NOUN
bjmsr-2230	234	4	with	with	ADP
bjmsr-2230	234	5	cnn	cnn	PROPN
bjmsr-2230	234	6	-	-	PUNCT
bjmsr-2230	234	7	lstm	lstm	PROPN
bjmsr-2230	234	8	classifiers	classifier	NOUN
bjmsr-2230	234	9	and	and	CCONJ
bjmsr-2230	234	10	the	the	DET
bjmsr-2230	234	11	corresponding	corresponding	ADJ
bjmsr-2230	234	12	model	model	NOUN
bjmsr-2230	234	13	loss	loss	NOUN
bjmsr-2230	234	14	is	be	AUX
bjmsr-2230	234	15	shown	show	VERB
bjmsr-2230	234	16	in	in	ADP
bjmsr-2230	234	17	figure	figure	NOUN
bjmsr-2230	234	18	6	6	NUM
bjmsr-2230	234	19	.	.	PUNCT
bjmsr-2230	235	1	emotions	emotion	NOUN
bjmsr-2230	235	2	neutral	neutral	ADJ
bjmsr-2230	235	3	calm	calm	ADJ
bjmsr-2230	235	4	happy	happy	ADJ
bjmsr-2230	235	5	sad	sad	ADJ
bjmsr-2230	235	6	angry	angry	ADJ
bjmsr-2230	235	7	fearful	fearful	ADJ
bjmsr-2230	235	8	neutral	neutral	ADJ
bjmsr-2230	235	9	25	25	NUM
bjmsr-2230	235	10	0	0	NUM
bjmsr-2230	235	11	0	0	NUM
bjmsr-2230	235	12	0	0	NUM
bjmsr-2230	235	13	0	0	NUM
bjmsr-2230	235	14	0	0	NUM
bjmsr-2230	235	15	calm	calm	NOUN
bjmsr-2230	235	16	0	0	NUM
bjmsr-2230	235	17	28	28	NUM
bjmsr-2230	235	18	0	0	NUM
bjmsr-2230	235	19	0	0	NUM
bjmsr-2230	235	20	0	0	NUM
bjmsr-2230	235	21	0	0	NUM
bjmsr-2230	235	22	happy	happy	ADJ
bjmsr-2230	235	23	0	0	NUM
bjmsr-2230	235	24	4	4	NUM
bjmsr-2230	235	25	38	38	NUM
bjmsr-2230	235	26	0	0	NUM
bjmsr-2230	235	27	0	0	NUM
bjmsr-2230	235	28	0	0	NUM
bjmsr-2230	235	29	sad	sad	ADJ
bjmsr-2230	235	30	0	0	NUM
bjmsr-2230	235	31	0	0	NUM
bjmsr-2230	235	32	1	1	NUM
bjmsr-2230	235	33	23	23	NUM
bjmsr-2230	235	34	0	0	NUM
bjmsr-2230	235	35	4	4	NUM
bjmsr-2230	235	36	angry	angry	ADJ
bjmsr-2230	235	37	0	0	NUM
bjmsr-2230	235	38	0	0	NUM
bjmsr-2230	235	39	0	0	NUM
bjmsr-2230	235	40	0	0	NUM
bjmsr-2230	235	41	41	41	NUM
bjmsr-2230	235	42	3	3	NUM
bjmsr-2230	235	43	fearful	fearful	ADJ
bjmsr-2230	235	44	0	0	NUM
bjmsr-2230	235	45	1	1	NUM
bjmsr-2230	235	46	0	0	NUM
bjmsr-2230	235	47	5	5	NUM
bjmsr-2230	235	48	3	3	NUM
bjmsr-2230	235	49	27	27	NUM
bjmsr-2230	235	50	emotions	emotion	NOUN
bjmsr-2230	235	51	calm	calm	VERB
bjmsr-2230	235	52	happy	happy	ADJ
bjmsr-2230	235	53	neutral	neutral	ADJ
bjmsr-2230	235	54	sad	sad	ADJ
bjmsr-2230	235	55	calm	calm	NOUN
bjmsr-2230	235	56	10	10	NUM
bjmsr-2230	235	57	4	4	NUM
bjmsr-2230	235	58	0	0	NUM
bjmsr-2230	235	59	1	1	NUM
bjmsr-2230	235	60	happy	happy	ADJ
bjmsr-2230	235	61	1	1	NUM
bjmsr-2230	235	62	6	6	NUM
bjmsr-2230	235	63	0	0	NUM
bjmsr-2230	235	64	0	0	NUM
bjmsr-2230	236	1	neutral	neutral	ADJ
bjmsr-2230	236	2	0	0	NUM
bjmsr-2230	236	3	0	0	NUM
bjmsr-2230	236	4	10	10	NUM
bjmsr-2230	236	5	0	0	NUM
bjmsr-2230	236	6	sad	sad	ADJ
bjmsr-2230	236	7	0	0	NUM
bjmsr-2230	236	8	0	0	NUM
bjmsr-2230	236	9	0	0	NUM
bjmsr-2230	236	10	8	8	NUM
bjmsr-2230	236	11	dutta	dutta	PROPN
bjmsr-2230	236	12	&	&	CCONJ
bjmsr-2230	236	13	chanda	chanda	PROPN
bjmsr-2230	236	14	,	,	PUNCT
bjmsr-2230	236	15	bangladesh	bangladesh	PROPN
bjmsr-2230	236	16	journal	journal	NOUN
bjmsr-2230	236	17	of	of	ADP
bjmsr-2230	236	18	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	236	19	scientific	scientific	ADJ
bjmsr-2230	236	20	research	research	NOUN
bjmsr-2230	236	21	9(3	9(3	NUM
bjmsr-2230	236	22	)	)	PUNCT
bjmsr-2230	236	23	(	(	PUNCT
bjmsr-2230	236	24	2024	2024	NUM
bjmsr-2230	236	25	)	)	PUNCT
bjmsr-2230	236	26	,	,	PUNCT
bjmsr-2230	236	27	21	21	NUM
bjmsr-2230	236	28	-	-	SYM
bjmsr-2230	236	29	32	32	NUM
bjmsr-2230	236	30	28	28	NUM
bjmsr-2230	236	31	figure	figure	NOUN
bjmsr-2230	236	32	6	6	NUM
bjmsr-2230	236	33	.	.	PUNCT
bjmsr-2230	236	34	model	model	NOUN
bjmsr-2230	236	35	accuracy	accuracy	NOUN
bjmsr-2230	236	36	and	and	CCONJ
bjmsr-2230	236	37	the	the	DET
bjmsr-2230	236	38	corresponding	corresponding	ADJ
bjmsr-2230	236	39	model	model	NOUN
bjmsr-2230	236	40	loss	loss	NOUN
bjmsr-2230	236	41	for	for	ADP
bjmsr-2230	236	42	the	the	DET
bjmsr-2230	236	43	assamese	assamese	PROPN
bjmsr-2230	236	44	dataset	dataset	NOUN
bjmsr-2230	236	45	using	use	VERB
bjmsr-2230	236	46	cnn	cnn	PROPN
bjmsr-2230	236	47	-	-	PUNCT
bjmsr-2230	236	48	lstm	lstm	ADJ
bjmsr-2230	236	49	classifier	classifier	NOUN
bjmsr-2230	236	50	table	table	NOUN
bjmsr-2230	236	51	5	5	NUM
bjmsr-2230	236	52	.	.	PUNCT
bjmsr-2230	236	53	evaluation	evaluation	NOUN
bjmsr-2230	236	54	measures	measure	NOUN
bjmsr-2230	236	55	for	for	ADP
bjmsr-2230	236	56	ravdess	ravdess	NOUN
bjmsr-2230	236	57	song	song	NOUN
bjmsr-2230	236	58	dataset	dataset	NOUN
bjmsr-2230	236	59	using	use	VERB
bjmsr-2230	236	60	cnn	cnn	PROPN
bjmsr-2230	236	61	-	-	PUNCT
bjmsr-2230	236	62	lstm	lstm	ADJ
bjmsr-2230	236	63	classifier	classifier	NOUN
bjmsr-2230	236	64	table	table	NOUN
bjmsr-2230	236	65	6	6	NUM
bjmsr-2230	236	66	.	.	PUNCT
bjmsr-2230	236	67	evaluation	evaluation	NOUN
bjmsr-2230	236	68	measures	measure	NOUN
bjmsr-2230	236	69	for	for	ADP
bjmsr-2230	236	70	assamese	assamese	ADJ
bjmsr-2230	236	71	song	song	NOUN
bjmsr-2230	236	72	dataset	dataset	NOUN
bjmsr-2230	236	73	using	use	VERB
bjmsr-2230	236	74	cnn	cnn	PROPN
bjmsr-2230	236	75	-	-	PUNCT
bjmsr-2230	236	76	lstm	lstm	NOUN
bjmsr-2230	236	77	classifier	classifier	NOUN
bjmsr-2230	236	78	the	the	DET
bjmsr-2230	236	79	emotion	emotion	NOUN
bjmsr-2230	236	80	detection	detection	NOUN
bjmsr-2230	236	81	of	of	ADP
bjmsr-2230	236	82	song	song	NOUN
bjmsr-2230	236	83	samples	sample	NOUN
bjmsr-2230	236	84	using	use	VERB
bjmsr-2230	236	85	the	the	DET
bjmsr-2230	236	86	ravdess	ravdess	NOUN
bjmsr-2230	236	87	song	song	NOUN
bjmsr-2230	236	88	dataset	dataset	NOUN
bjmsr-2230	236	89	is	be	AUX
bjmsr-2230	236	90	shown	show	VERB
bjmsr-2230	236	91	in	in	ADP
bjmsr-2230	236	92	figure	figure	NOUN
bjmsr-2230	236	93	7	7	NUM
bjmsr-2230	236	94	,	,	PUNCT
bjmsr-2230	236	95	and	and	CCONJ
bjmsr-2230	236	96	the	the	DET
bjmsr-2230	236	97	assamese	assamese	PROPN
bjmsr-2230	236	98	dataset	dataset	NOUN
bjmsr-2230	236	99	is	be	AUX
bjmsr-2230	236	100	shown	show	VERB
bjmsr-2230	236	101	in	in	ADP
bjmsr-2230	236	102	figure	figure	NOUN
bjmsr-2230	236	103	8	8	NUM
bjmsr-2230	236	104	using	use	VERB
bjmsr-2230	236	105	cnn	cnn	PROPN
bjmsr-2230	236	106	-	-	PUNCT
bjmsr-2230	236	107	lstm	lstm	PROPN
bjmsr-2230	236	108	.	.	PUNCT
bjmsr-2230	237	1	the	the	DET
bjmsr-2230	237	2	line	line	NOUN
bjmsr-2230	237	3	graph	graph	NOUN
bjmsr-2230	237	4	for	for	ADP
bjmsr-2230	237	5	emotion	emotion	NOUN
bjmsr-2230	237	6	detection	detection	NOUN
bjmsr-2230	237	7	with	with	ADP
bjmsr-2230	237	8	different	different	ADJ
bjmsr-2230	237	9	classifiers	classifier	NOUN
bjmsr-2230	237	10	using	use	VERB
bjmsr-2230	237	11	the	the	DET
bjmsr-2230	237	12	ravdess	ravdess	NOUN
bjmsr-2230	237	13	song	song	NOUN
bjmsr-2230	237	14	dataset	dataset	NOUN
bjmsr-2230	237	15	is	be	AUX
bjmsr-2230	237	16	shown	show	VERB
bjmsr-2230	237	17	in	in	ADP
bjmsr-2230	237	18	figure	figure	NOUN
bjmsr-2230	237	19	9	9	NUM
bjmsr-2230	237	20	,	,	PUNCT
bjmsr-2230	237	21	and	and	CCONJ
bjmsr-2230	237	22	the	the	DET
bjmsr-2230	237	23	assamese	assamese	PROPN
bjmsr-2230	237	24	dataset	dataset	NOUN
bjmsr-2230	237	25	is	be	AUX
bjmsr-2230	237	26	shown	show	VERB
bjmsr-2230	237	27	in	in	ADP
bjmsr-2230	237	28	figure	figure	NOUN
bjmsr-2230	237	29	10	10	NUM
bjmsr-2230	237	30	.	.	PUNCT
bjmsr-2230	238	1	a	a	DET
bjmsr-2230	238	2	comparative	comparative	ADJ
bjmsr-2230	238	3	analysis	analysis	NOUN
bjmsr-2230	238	4	is	be	AUX
bjmsr-2230	238	5	done	do	VERB
bjmsr-2230	238	6	with	with	ADP
bjmsr-2230	238	7	the	the	DET
bjmsr-2230	238	8	proposed	propose	VERB
bjmsr-2230	238	9	work	work	NOUN
bjmsr-2230	238	10	and	and	CCONJ
bjmsr-2230	238	11	some	some	PRON
bjmsr-2230	238	12	of	of	ADP
bjmsr-2230	238	13	the	the	DET
bjmsr-2230	238	14	research	research	NOUN
bjmsr-2230	238	15	papers	paper	NOUN
bjmsr-2230	238	16	on	on	ADP
bjmsr-2230	238	17	music	music	NOUN
bjmsr-2230	238	18	emotion	emotion	NOUN
bjmsr-2230	238	19	recognition	recognition	NOUN
bjmsr-2230	238	20	,	,	PUNCT
bjmsr-2230	238	21	tabulated	tabulate	VERB
bjmsr-2230	238	22	in	in	ADP
bjmsr-2230	238	23	table	table	NOUN
bjmsr-2230	238	24	7	7	NUM
bjmsr-2230	238	25	.	.	PUNCT
bjmsr-2230	238	26	figure	figure	NOUN
bjmsr-2230	238	27	7	7	NUM
bjmsr-2230	238	28	.	.	PUNCT
bjmsr-2230	239	1	emotion	emotion	NOUN
bjmsr-2230	239	2	detection	detection	NOUN
bjmsr-2230	239	3	with	with	ADP
bjmsr-2230	239	4	cnn	cnn	PROPN
bjmsr-2230	239	5	-	-	PUNCT
bjmsr-2230	239	6	lstm	lstm	ADJ
bjmsr-2230	239	7	classifier	classifier	NOUN
bjmsr-2230	239	8	for	for	ADP
bjmsr-2230	239	9	ravdess	ravdess	NOUN
bjmsr-2230	239	10	dataset	dataset	NOUN
bjmsr-2230	239	11	evaluation	evaluation	NOUN
bjmsr-2230	239	12	measure/	measure/	NUM
bjmsr-2230	239	13	emotion	emotion	NOUN
bjmsr-2230	239	14	precision	precision	NOUN
bjmsr-2230	239	15	recall	recall	VERB
bjmsr-2230	239	16	f	f	NOUN
bjmsr-2230	239	17	-	-	PUNCT
bjmsr-2230	239	18	measure	measure	NOUN
bjmsr-2230	239	19	neutral	neutral	ADJ
bjmsr-2230	239	20	1.00	1.00	NUM
bjmsr-2230	239	21	1.00	1.00	NUM
bjmsr-2230	239	22	1.00	1.00	NUM
bjmsr-2230	239	23	calm	calm	NOUN
bjmsr-2230	239	24	0.85	0.85	NUM
bjmsr-2230	239	25	1.00	1.00	NUM
bjmsr-2230	239	26	0.92	0.92	NUM
bjmsr-2230	239	27	happy	happy	ADJ
bjmsr-2230	239	28	0.97	0.97	NUM
bjmsr-2230	239	29	0.90	0.90	NUM
bjmsr-2230	239	30	0.94	0.94	NUM
bjmsr-2230	239	31	sad	sad	ADJ
bjmsr-2230	239	32	0.82	0.82	NUM
bjmsr-2230	239	33	0.82	0.82	NUM
bjmsr-2230	239	34	0.82	0.82	NUM
bjmsr-2230	239	35	angry	angry	ADJ
bjmsr-2230	239	36	0.93	0.93	NUM
bjmsr-2230	239	37	0.93	0.93	NUM
bjmsr-2230	239	38	0.93	0.93	NUM
bjmsr-2230	239	39	fearful	fearful	ADJ
bjmsr-2230	239	40	0.79	0.79	NUM
bjmsr-2230	239	41	0.75	0.75	NUM
bjmsr-2230	239	42	0.77	0.77	NUM
bjmsr-2230	239	43	evaluation	evaluation	NOUN
bjmsr-2230	239	44	measure/	measure/	NUM
bjmsr-2230	239	45	emotion	emotion	NOUN
bjmsr-2230	239	46	precision	precision	NOUN
bjmsr-2230	239	47	recall	recall	VERB
bjmsr-2230	239	48	f	f	NOUN
bjmsr-2230	239	49	-	-	PUNCT
bjmsr-2230	239	50	measure	measure	NOUN
bjmsr-2230	239	51	calm	calm	NOUN
bjmsr-2230	239	52	0.91	0.91	NUM
bjmsr-2230	239	53	0.67	0.67	NUM
bjmsr-2230	239	54	0.77	0.77	NUM
bjmsr-2230	239	55	happy	happy	ADJ
bjmsr-2230	239	56	0.60	0.60	NUM
bjmsr-2230	239	57	0.86	0.86	NUM
bjmsr-2230	239	58	0.71	0.71	NUM
bjmsr-2230	239	59	neutral	neutral	ADJ
bjmsr-2230	239	60	1.00	1.00	NUM
bjmsr-2230	239	61	1.00	1.00	NUM
bjmsr-2230	239	62	1.00	1.00	NUM
bjmsr-2230	239	63	sad	sad	ADJ
bjmsr-2230	239	64	0.89	0.89	NUM
bjmsr-2230	239	65	1.00	1.00	NUM
bjmsr-2230	239	66	0.94	0.94	NUM
bjmsr-2230	239	67	dutta	dutta	PROPN
bjmsr-2230	239	68	&	&	CCONJ
bjmsr-2230	239	69	chanda	chanda	PROPN
bjmsr-2230	239	70	,	,	PUNCT
bjmsr-2230	239	71	bangladesh	bangladesh	PROPN
bjmsr-2230	239	72	journal	journal	NOUN
bjmsr-2230	239	73	of	of	ADP
bjmsr-2230	239	74	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	239	75	scientific	scientific	ADJ
bjmsr-2230	239	76	research	research	NOUN
bjmsr-2230	239	77	9(3	9(3	NUM
bjmsr-2230	239	78	)	)	PUNCT
bjmsr-2230	239	79	(	(	PUNCT
bjmsr-2230	239	80	2024	2024	NUM
bjmsr-2230	239	81	)	)	PUNCT
bjmsr-2230	239	82	,	,	PUNCT
bjmsr-2230	239	83	21	21	NUM
bjmsr-2230	239	84	-	-	SYM
bjmsr-2230	239	85	32	32	NUM
bjmsr-2230	239	86	29	29	NUM
bjmsr-2230	239	87	figure	figure	NOUN
bjmsr-2230	239	88	8	8	NUM
bjmsr-2230	239	89	.	.	PUNCT
bjmsr-2230	240	1	emotion	emotion	NOUN
bjmsr-2230	240	2	detection	detection	NOUN
bjmsr-2230	240	3	with	with	ADP
bjmsr-2230	240	4	cnn	cnn	PROPN
bjmsr-2230	240	5	-	-	PUNCT
bjmsr-2230	240	6	lstm	lstm	ADJ
bjmsr-2230	240	7	classifier	classifier	NOUN
bjmsr-2230	240	8	for	for	ADP
bjmsr-2230	240	9	assamese	assamese	ADJ
bjmsr-2230	240	10	dataset	dataset	ADJ
bjmsr-2230	240	11	figure	figure	NOUN
bjmsr-2230	240	12	9	9	NUM
bjmsr-2230	240	13	.	.	PUNCT
bjmsr-2230	241	1	emotion	emotion	NOUN
bjmsr-2230	241	2	detection	detection	NOUN
bjmsr-2230	241	3	with	with	ADP
bjmsr-2230	241	4	different	different	ADJ
bjmsr-2230	241	5	classifiers	classifier	NOUN
bjmsr-2230	241	6	for	for	ADP
bjmsr-2230	241	7	the	the	DET
bjmsr-2230	241	8	ravdess	ravdess	NOUN
bjmsr-2230	241	9	dataset	dataset	NOUN
bjmsr-2230	241	10	figure	figure	NOUN
bjmsr-2230	241	11	10	10	NUM
bjmsr-2230	241	12	.	.	PUNCT
bjmsr-2230	242	1	emotion	emotion	NOUN
bjmsr-2230	242	2	detection	detection	NOUN
bjmsr-2230	242	3	with	with	ADP
bjmsr-2230	242	4	different	different	ADJ
bjmsr-2230	242	5	classifiers	classifier	NOUN
bjmsr-2230	242	6	for	for	ADP
bjmsr-2230	242	7	the	the	DET
bjmsr-2230	242	8	assamese	assamese	PROPN
bjmsr-2230	242	9	dataset	dataset	PROPN
bjmsr-2230	242	10	dutta	dutta	PROPN
bjmsr-2230	242	11	&	&	CCONJ
bjmsr-2230	242	12	chanda	chanda	PROPN
bjmsr-2230	242	13	,	,	PUNCT
bjmsr-2230	242	14	bangladesh	bangladesh	PROPN
bjmsr-2230	242	15	journal	journal	NOUN
bjmsr-2230	242	16	of	of	ADP
bjmsr-2230	242	17	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	242	18	scientific	scientific	ADJ
bjmsr-2230	242	19	research	research	NOUN
bjmsr-2230	242	20	9(3	9(3	NUM
bjmsr-2230	242	21	)	)	PUNCT
bjmsr-2230	242	22	(	(	PUNCT
bjmsr-2230	242	23	2024	2024	NUM
bjmsr-2230	242	24	)	)	PUNCT
bjmsr-2230	242	25	,	,	PUNCT
bjmsr-2230	242	26	21	21	NUM
bjmsr-2230	242	27	-	-	SYM
bjmsr-2230	242	28	32	32	NUM
bjmsr-2230	242	29	30	30	NUM
bjmsr-2230	242	30	table	table	NOUN
bjmsr-2230	242	31	7	7	NUM
bjmsr-2230	242	32	.	.	PUNCT
bjmsr-2230	243	1	some	some	PRON
bjmsr-2230	243	2	of	of	ADP
bjmsr-2230	243	3	the	the	DET
bjmsr-2230	243	4	significant	significant	ADJ
bjmsr-2230	243	5	works	work	NOUN
bjmsr-2230	243	6	on	on	ADP
bjmsr-2230	243	7	music	music	NOUN
bjmsr-2230	243	8	emotion	emotion	NOUN
bjmsr-2230	243	9	recognition	recognition	NOUN
bjmsr-2230	243	10	reference	reference	NOUN
bjmsr-2230	243	11	paper	paper	NOUN
bjmsr-2230	243	12	database	database	NOUN
bjmsr-2230	243	13	emotion	emotion	NOUN
bjmsr-2230	243	14	model	model	NOUN
bjmsr-2230	243	15	number	number	NOUN
bjmsr-2230	243	16	of	of	ADP
bjmsr-2230	243	17	emotions	emotion	NOUN
bjmsr-2230	243	18	/approach	/approach	VERB
bjmsr-2230	243	19	methods	method	NOUN
bjmsr-2230	243	20	(	(	PUNCT
bjmsr-2230	243	21	features	feature	NOUN
bjmsr-2230	243	22	and	and	CCONJ
bjmsr-2230	243	23	classifiers	classifier	NOUN
bjmsr-2230	243	24	)	)	PUNCT
bjmsr-2230	243	25	best	good	ADJ
bjmsr-2230	243	26	result	result	NOUN
bjmsr-2230	243	27	(	(	PUNCT
bjmsr-2230	243	28	accuracy	accuracy	NOUN
bjmsr-2230	243	29	in	in	ADP
bjmsr-2230	243	30	%	%	NOUN
bjmsr-2230	243	31	)	)	PUNCT
bjmsr-2230	243	32	proposed	propose	VERB
bjmsr-2230	243	33	mer	mer	PROPN
bjmsr-2230	243	34	model	model	PROPN
bjmsr-2230	243	35	ravdees	ravdees	PROPN
bjmsr-2230	243	36	song	song	PROPN
bjmsr-2230	243	37	database	database	NOUN
bjmsr-2230	243	38	assamese	assamese	PROPN
bjmsr-2230	243	39	song	song	NOUN
bjmsr-2230	243	40	database	database	PROPN
bjmsr-2230	243	41	categorical	categorical	ADJ
bjmsr-2230	243	42	categorical	categorical	ADJ
bjmsr-2230	243	43	neutral	neutral	ADJ
bjmsr-2230	243	44	,	,	PUNCT
bjmsr-2230	243	45	calm	calm	ADJ
bjmsr-2230	243	46	,	,	PUNCT
bjmsr-2230	243	47	happy	happy	ADJ
bjmsr-2230	243	48	,	,	PUNCT
bjmsr-2230	243	49	sad	sad	ADJ
bjmsr-2230	243	50	,	,	PUNCT
bjmsr-2230	243	51	angry	angry	ADJ
bjmsr-2230	243	52	,	,	PUNCT
bjmsr-2230	243	53	fearful	fearful	ADJ
bjmsr-2230	243	54	calm	calm	ADJ
bjmsr-2230	243	55	,	,	PUNCT
bjmsr-2230	243	56	happy	happy	ADJ
bjmsr-2230	243	57	,	,	PUNCT
bjmsr-2230	243	58	neutral	neutral	ADJ
bjmsr-2230	243	59	,	,	PUNCT
bjmsr-2230	243	60	sad	sad	ADJ
bjmsr-2230	243	61	mfcc	mfcc	NOUN
bjmsr-2230	243	62	,	,	PUNCT
bjmsr-2230	243	63	mel	mel	PROPN
bjmsr-2230	243	64	spectrogram	spectrogram	PROPN
bjmsr-2230	243	65	,	,	PUNCT
bjmsr-2230	243	66	and	and	CCONJ
bjmsr-2230	243	67	chroma	chroma	NOUN
bjmsr-2230	243	68	;	;	PUNCT
bjmsr-2230	243	69	decision	decision	NOUN
bjmsr-2230	243	70	tree	tree	NOUN
bjmsr-2230	243	71	,	,	PUNCT
bjmsr-2230	243	72	random	random	ADJ
bjmsr-2230	243	73	forest	forest	NOUN
bjmsr-2230	243	74	,	,	PUNCT
bjmsr-2230	243	75	multi	multi	ADJ
bjmsr-2230	243	76	-	-	ADJ
bjmsr-2230	243	77	layer	layer	ADJ
bjmsr-2230	243	78	perceptron	perceptron	NOUN
bjmsr-2230	243	79	(	(	PUNCT
bjmsr-2230	243	80	mlp	mlp	PROPN
bjmsr-2230	243	81	)	)	PUNCT
bjmsr-2230	243	82	,	,	PUNCT
bjmsr-2230	243	83	k	k	X
bjmsr-2230	243	84	-	-	PUNCT
bjmsr-2230	243	85	nearest	near	ADJ
bjmsr-2230	243	86	neighbours	neighbour	NOUN
bjmsr-2230	243	87	,	,	PUNCT
bjmsr-2230	243	88	lstm	lstm	PROPN
bjmsr-2230	243	89	,	,	PUNCT
bjmsr-2230	243	90	cnn	cnn	PROPN
bjmsr-2230	243	91	,	,	PUNCT
bjmsr-2230	243	92	cnn	cnn	PROPN
bjmsr-2230	243	93	-	-	PUNCT
bjmsr-2230	243	94	lstm	lstm	PROPN
bjmsr-2230	243	95	89.66	89.66	NUM
bjmsr-2230	243	96	85.00	85.00	NUM
bjmsr-2230	243	97	han	han	PROPN
bjmsr-2230	243	98	et	et	PROPN
bjmsr-2230	243	99	al	al	PROPN
bjmsr-2230	243	100	.	.	PROPN
bjmsr-2230	243	101	(	(	PUNCT
bjmsr-2230	243	102	2023	2023	NUM
bjmsr-2230	243	103	)	)	PUNCT
bjmsr-2230	243	104	soundtrack	soundtrack	VERB
bjmsr-2230	243	105	dimensional	dimensional	ADJ
bjmsr-2230	243	106	valence	valence	NOUN
bjmsr-2230	243	107	and	and	CCONJ
bjmsr-2230	243	108	arousal	arousal	NOUN
bjmsr-2230	243	109	1d	1d	PROPN
bjmsr-2230	243	110	-	-	PUNCT
bjmsr-2230	243	111	cnn	cnn	NOUN
bjmsr-2230	243	112	based	base	VERB
bjmsr-2230	243	113	on	on	ADP
bjmsr-2230	243	114	the	the	DET
bjmsr-2230	243	115	optimized	optimize	VERB
bjmsr-2230	243	116	inception	inception	NOUN
bjmsr-2230	243	117	–	–	PUNCT
bjmsr-2230	243	118	gru	gru	NOUN
bjmsr-2230	243	119	residual	residual	ADJ
bjmsr-2230	243	120	structure	structure	NOUN
bjmsr-2230	243	121	,	,	PUNCT
bjmsr-2230	243	122	svm	svm	VERB
bjmsr-2230	243	123	84.27	84.27	NUM
bjmsr-2230	243	124	he	he	PRON
bjmsr-2230	243	125	and	and	CCONJ
bjmsr-2230	243	126	ferguson	ferguson	PROPN
bjmsr-2230	243	127	(	(	PUNCT
bjmsr-2230	243	128	2022	2022	NUM
bjmsr-2230	243	129	)	)	PUNCT
bjmsr-2230	243	130	pmemo	pmemo	NOUN
bjmsr-2230	243	131	and	and	CCONJ
bjmsr-2230	243	132	allmusic	allmusic	ADJ
bjmsr-2230	243	133	dimensional	dimensional	ADJ
bjmsr-2230	243	134	valence	valence	NOUN
bjmsr-2230	243	135	and	and	CCONJ
bjmsr-2230	243	136	arousal	arousal	ADJ
bjmsr-2230	243	137	bidirectional	bidirectional	NOUN
bjmsr-2230	243	138	-	-	PUNCT
bjmsr-2230	243	139	lstm	lstm	NOUN
bjmsr-2230	243	140	(	(	PUNCT
bjmsr-2230	243	141	bilstm	bilstm	NOUN
bjmsr-2230	243	142	)	)	PUNCT
bjmsr-2230	243	143	79.01	79.01	NUM
bjmsr-2230	243	144	(	(	PUNCT
bjmsr-2230	243	145	valence	valence	NOUN
bjmsr-2230	243	146	)	)	PUNCT
bjmsr-2230	244	1	83.62	83.62	NUM
bjmsr-2230	244	2	(	(	PUNCT
bjmsr-2230	244	3	arousal	arousal	NOUN
bjmsr-2230	244	4	)	)	PUNCT
bjmsr-2230	244	5	er	er	INTJ
bjmsr-2230	244	6	and	and	CCONJ
bjmsr-2230	244	7	esin	esin	PROPN
bjmsr-2230	244	8	(	(	PUNCT
bjmsr-2230	244	9	2021	2021	NUM
bjmsr-2230	244	10	)	)	PUNCT
bjmsr-2230	244	11	turkish	turkish	ADJ
bjmsr-2230	244	12	music	music	NOUN
bjmsr-2230	244	13	dataset	dataset	VERB
bjmsr-2230	244	14	categorical	categorical	ADJ
bjmsr-2230	244	15	happy	happy	ADJ
bjmsr-2230	244	16	,	,	PUNCT
bjmsr-2230	244	17	sad	sad	ADJ
bjmsr-2230	244	18	,	,	PUNCT
bjmsr-2230	244	19	angry	angry	ADJ
bjmsr-2230	244	20	,	,	PUNCT
bjmsr-2230	244	21	relax	relax	VERB
bjmsr-2230	244	22	svm	svm	PROPN
bjmsr-2230	244	23	,	,	PUNCT
bjmsr-2230	244	24	knn	knn	PROPN
bjmsr-2230	244	25	,	,	PUNCT
bjmsr-2230	244	26	and	and	CCONJ
bjmsr-2230	244	27	ann	ann	PROPN
bjmsr-2230	244	28	;	;	PUNCT
bjmsr-2230	244	29	rms	rm	NOUN
bjmsr-2230	244	30	energy	energy	NOUN
bjmsr-2230	244	31	,	,	PUNCT
bjmsr-2230	244	32	tempo	tempo	PROPN
bjmsr-2230	244	33	,	,	PUNCT
bjmsr-2230	244	34	spectrum	spectrum	NOUN
bjmsr-2230	244	35	centroid	centroid	NOUN
bjmsr-2230	244	36	,	,	PUNCT
bjmsr-2230	244	37	spectral	spectral	ADJ
bjmsr-2230	244	38	entropy	entropy	PROPN
bjmsr-2230	244	39	,	,	PUNCT
bjmsr-2230	244	40	zcr	zcr	NOUN
bjmsr-2230	244	41	,	,	PUNCT
bjmsr-2230	244	42	mfcc	mfcc	NOUN
bjmsr-2230	244	43	,	,	PUNCT
bjmsr-2230	244	44	chroma	chroma	VERB
bjmsr-2230	244	45	79.30	79.30	NUM
bjmsr-2230	244	46	yang	yang	PROPN
bjmsr-2230	244	47	(	(	PUNCT
bjmsr-2230	244	48	2021	2021	NUM
bjmsr-2230	244	49	)	)	PUNCT
bjmsr-2230	244	50	mediaeval	mediaeval	ADJ
bjmsr-2230	244	51	emotion	emotion	NOUN
bjmsr-2230	244	52	in	in	ADP
bjmsr-2230	244	53	music	music	NOUN
bjmsr-2230	244	54	(	(	PUNCT
bjmsr-2230	244	55	mem	mem	ADJ
bjmsr-2230	244	56	)	)	PUNCT
bjmsr-2230	244	57	dimensional	dimensional	ADJ
bjmsr-2230	244	58	valence	valence	NOUN
bjmsr-2230	244	59	and	and	CCONJ
bjmsr-2230	244	60	arousal	arousal	ADJ
bjmsr-2230	244	61	artificial	artificial	ADJ
bjmsr-2230	244	62	bee	bee	PROPN
bjmsr-2230	244	63	colony	colony	NOUN
bjmsr-2230	244	64	(	(	PUNCT
bjmsr-2230	244	65	abc	abc	PROPN
bjmsr-2230	244	66	)	)	PUNCT
bjmsr-2230	244	67	algorithm	algorithm	NOUN
bjmsr-2230	244	68	;	;	PUNCT
bjmsr-2230	244	69	rmse	rmse	PROPN
bjmsr-2230	244	70	,	,	PUNCT
bjmsr-2230	244	71	mae	mae	PROPN
bjmsr-2230	244	72	,	,	PUNCT
bjmsr-2230	244	73	and	and	CCONJ
bjmsr-2230	244	74	r2	r2	PROPN
bjmsr-2230	244	75	mae	mae	PROPN
bjmsr-2230	244	76	:	:	PUNCT
bjmsr-2230	244	77	valence=0.8872	valence=0.8872	PROPN
bjmsr-2230	244	78	arousal=0.9156	arousal=0.9156	PROPN
bjmsr-2230	244	79	hizlisoy	hizlisoy	NOUN
bjmsr-2230	244	80	et	et	PROPN
bjmsr-2230	244	81	al	al	PROPN
bjmsr-2230	244	82	.	.	PROPN
bjmsr-2230	245	1	(	(	PUNCT
bjmsr-2230	245	2	2021	2021	NUM
bjmsr-2230	245	3	)	)	PUNCT
bjmsr-2230	245	4	turkish	turkish	ADJ
bjmsr-2230	245	5	emotional	emotional	ADJ
bjmsr-2230	245	6	music	music	NOUN
bjmsr-2230	245	7	database	database	NOUN
bjmsr-2230	245	8	dimensional	dimensional	ADJ
bjmsr-2230	245	9	valence	valence	NOUN
bjmsr-2230	245	10	and	and	CCONJ
bjmsr-2230	245	11	arousal	arousal	PROPN
bjmsr-2230	245	12	knn	knn	PROPN
bjmsr-2230	245	13	,	,	PUNCT
bjmsr-2230	245	14	rf	rf	PROPN
bjmsr-2230	245	15	,	,	PUNCT
bjmsr-2230	245	16	svm	svm	ADJ
bjmsr-2230	245	17	;	;	PUNCT
bjmsr-2230	245	18	lstm+dnn	lstm+dnn	NOUN
bjmsr-2230	245	19	99.19	99.19	NUM
bjmsr-2230	245	20	de	de	X
bjmsr-2230	245	21	benito	benito	PROPN
bjmsr-2230	245	22	-	-	NOUN
bjmsr-2230	245	23	gorron	gorron	NOUN
bjmsr-2230	245	24	et	et	PROPN
bjmsr-2230	245	25	al	al	PROPN
bjmsr-2230	245	26	.	.	PROPN
bjmsr-2230	246	1	(	(	PUNCT
bjmsr-2230	246	2	2019	2019	NUM
bjmsr-2230	246	3	)	)	PUNCT
bjmsr-2230	246	4	google	google	PROPN
bjmsr-2230	246	5	audioset	audioset	PROPN
bjmsr-2230	246	6	mel	mel	PROPN
bjmsr-2230	246	7	spectrum	spectrum	PROPN
bjmsr-2230	246	8	/	/	SYM
bjmsr-2230	246	9	mel	mel	PROPN
bjmsr-2230	246	10	spectrogram	spectrogram	PROPN
bjmsr-2230	246	11	,	,	PUNCT
bjmsr-2230	246	12	cnn	cnn	PROPN
bjmsr-2230	246	13	-	-	PUNCT
bjmsr-2230	246	14	lstm	lstm	PROPN
bjmsr-2230	246	15	84.20	84.20	NUM
bjmsr-2230	246	16	zhang	zhang	X
bjmsr-2230	246	17	et	et	PROPN
bjmsr-2230	246	18	al	al	PROPN
bjmsr-2230	246	19	.	.	PROPN
bjmsr-2230	247	1	(	(	PUNCT
bjmsr-2230	247	2	2016	2016	NUM
bjmsr-2230	247	3	)	)	PUNCT
bjmsr-2230	247	4	apm	apm	NOUN
bjmsr-2230	247	5	music	music	NOUN
bjmsr-2230	247	6	database	database	NOUN
bjmsr-2230	247	7	categorical	categorical	ADJ
bjmsr-2230	247	8	happy	happy	ADJ
bjmsr-2230	247	9	,	,	PUNCT
bjmsr-2230	247	10	sad	sad	ADJ
bjmsr-2230	247	11	,	,	PUNCT
bjmsr-2230	247	12	fear	fear	NOUN
bjmsr-2230	247	13	,	,	PUNCT
bjmsr-2230	247	14	relax	relax	VERB
bjmsr-2230	247	15	mfcc	mfcc	NOUN
bjmsr-2230	247	16	,	,	PUNCT
bjmsr-2230	247	17	rms	rm	VERB
bjmsr-2230	247	18	energy	energy	NOUN
bjmsr-2230	247	19	,	,	PUNCT
bjmsr-2230	247	20	zero	zero	NUM
bjmsr-2230	247	21	crossing	crossing	NOUN
bjmsr-2230	247	22	rate	rate	NOUN
bjmsr-2230	247	23	(	(	PUNCT
bjmsr-2230	247	24	zcr	zcr	NOUN
bjmsr-2230	247	25	)	)	PUNCT
bjmsr-2230	247	26	,	,	PUNCT
bjmsr-2230	247	27	fundamental	fundamental	ADJ
bjmsr-2230	247	28	frequency	frequency	NOUN
bjmsr-2230	247	29	f0	f0	PROPN
bjmsr-2230	247	30	;	;	PUNCT
bjmsr-2230	247	31	random	random	ADJ
bjmsr-2230	247	32	forest	forest	NOUN
bjmsr-2230	247	33	83.29	83.29	NUM
bjmsr-2230	247	34	jamdar	jamdar	NOUN
bjmsr-2230	247	35	et	et	PROPN
bjmsr-2230	247	36	al	al	PROPN
bjmsr-2230	247	37	.	.	PROPN
bjmsr-2230	248	1	(	(	PUNCT
bjmsr-2230	248	2	2015	2015	NUM
bjmsr-2230	248	3	)	)	PUNCT
bjmsr-2230	248	4	last.fm	last.fm	NOUN
bjmsr-2230	248	5	website	website	NOUN
bjmsr-2230	248	6	(	(	PUNCT
bjmsr-2230	248	7	a	a	DET
bjmsr-2230	248	8	popular	popular	ADJ
bjmsr-2230	248	9	social	social	ADJ
bjmsr-2230	248	10	musical	musical	ADJ
bjmsr-2230	248	11	discovery	discovery	NOUN
bjmsr-2230	248	12	website	website	NOUN
bjmsr-2230	248	13	)	)	PUNCT
bjmsr-2230	248	14	categorical	categorical	ADJ
bjmsr-2230	248	15	calm	calm	ADJ
bjmsr-2230	248	16	,	,	PUNCT
bjmsr-2230	248	17	energetic	energetic	ADJ
bjmsr-2230	248	18	,	,	PUNCT
bjmsr-2230	248	19	dance	dance	NOUN
bjmsr-2230	248	20	,	,	PUNCT
bjmsr-2230	248	21	happy	happy	ADJ
bjmsr-2230	248	22	,	,	PUNCT
bjmsr-2230	248	23	sad	sad	ADJ
bjmsr-2230	248	24	,	,	PUNCT
bjmsr-2230	248	25	romantic	romantic	ADJ
bjmsr-2230	248	26	,	,	PUNCT
bjmsr-2230	248	27	seductive	seductive	ADJ
bjmsr-2230	248	28	,	,	PUNCT
bjmsr-2230	248	29	hopeful	hopeful	ADJ
bjmsr-2230	248	30	,	,	PUNCT
bjmsr-2230	248	31	angry	angry	ADJ
bjmsr-2230	248	32	enery	enery	NOUN
bjmsr-2230	248	33	,	,	PUNCT
bjmsr-2230	248	34	tempo	tempo	NOUN
bjmsr-2230	248	35	,	,	PUNCT
bjmsr-2230	248	36	danceability	danceability	NOUN
bjmsr-2230	248	37	;	;	PUNCT
bjmsr-2230	248	38	knearest	knearest	NOUN
bjmsr-2230	248	39	neighbors	neighbor	NOUN
bjmsr-2230	248	40	83.40	83.40	NUM
bjmsr-2230	248	41	conclusions	conclusion	NOUN
bjmsr-2230	248	42	this	this	DET
bjmsr-2230	248	43	research	research	NOUN
bjmsr-2230	248	44	work	work	NOUN
bjmsr-2230	248	45	proposed	propose	VERB
bjmsr-2230	248	46	a	a	DET
bjmsr-2230	248	47	hybrid	hybrid	ADJ
bjmsr-2230	248	48	deep	deep	ADJ
bjmsr-2230	248	49	learning	learn	VERB
bjmsr-2230	248	50	cnn	cnn	PROPN
bjmsr-2230	248	51	-	-	PUNCT
bjmsr-2230	248	52	lstm	lstm	PROPN
bjmsr-2230	248	53	model	model	NOUN
bjmsr-2230	248	54	to	to	PART
bjmsr-2230	248	55	identify	identify	VERB
bjmsr-2230	248	56	music	music	NOUN
bjmsr-2230	248	57	emotion	emotion	NOUN
bjmsr-2230	248	58	and	and	CCONJ
bjmsr-2230	248	59	compare	compare	VERB
bjmsr-2230	248	60	its	its	PRON
bjmsr-2230	248	61	performance	performance	NOUN
bjmsr-2230	248	62	with	with	ADP
bjmsr-2230	248	63	other	other	ADJ
bjmsr-2230	248	64	classifiers	classifier	NOUN
bjmsr-2230	248	65	to	to	PART
bjmsr-2230	248	66	predict	predict	VERB
bjmsr-2230	248	67	the	the	DET
bjmsr-2230	248	68	music	music	NOUN
bjmsr-2230	248	69	emotion	emotion	NOUN
bjmsr-2230	248	70	in	in	ADP
bjmsr-2230	248	71	assamese	assamese	PROPN
bjmsr-2230	248	72	and	and	CCONJ
bjmsr-2230	248	73	ravdess	ravdess	NOUN
bjmsr-2230	248	74	song	song	NOUN
bjmsr-2230	248	75	databases	database	NOUN
bjmsr-2230	248	76	.	.	PUNCT
bjmsr-2230	249	1	this	this	DET
bjmsr-2230	249	2	research	research	NOUN
bjmsr-2230	249	3	first	first	ADV
bjmsr-2230	249	4	classifies	classify	VERB
bjmsr-2230	249	5	the	the	DET
bjmsr-2230	249	6	features	feature	NOUN
bjmsr-2230	249	7	of	of	ADP
bjmsr-2230	249	8	music	music	NOUN
bjmsr-2230	249	9	in	in	ADP
bjmsr-2230	249	10	a	a	DET
bjmsr-2230	249	11	combined	combine	VERB
bjmsr-2230	249	12	form	form	NOUN
bjmsr-2230	249	13	for	for	ADP
bjmsr-2230	249	14	emotion	emotion	NOUN
bjmsr-2230	249	15	classification	classification	NOUN
bjmsr-2230	249	16	,	,	PUNCT
bjmsr-2230	249	17	and	and	CCONJ
bjmsr-2230	249	18	a	a	DET
bjmsr-2230	249	19	total	total	NOUN
bjmsr-2230	249	20	of	of	ADP
bjmsr-2230	249	21	180	180	NUM
bjmsr-2230	249	22	features	feature	NOUN
bjmsr-2230	249	23	are	be	AUX
bjmsr-2230	249	24	extracted	extract	VERB
bjmsr-2230	249	25	using	use	VERB
bjmsr-2230	249	26	mfcc	mfcc	NOUN
bjmsr-2230	249	27	,	,	PUNCT
bjmsr-2230	249	28	mel	mel	PROPN
bjmsr-2230	249	29	spectrogram	spectrogram	PROPN
bjmsr-2230	249	30	,	,	PUNCT
bjmsr-2230	249	31	and	and	CCONJ
bjmsr-2230	249	32	chroma	chroma	NOUN
bjmsr-2230	249	33	features	feature	NOUN
bjmsr-2230	249	34	.	.	PUNCT
bjmsr-2230	250	1	secondly	secondly	ADV
bjmsr-2230	250	2	,	,	PUNCT
bjmsr-2230	250	3	combined	combined	ADJ
bjmsr-2230	250	4	1d	1d	NUM
bjmsr-2230	250	5	-	-	PUNCT
bjmsr-2230	250	6	cnn	cnn	PROPN
bjmsr-2230	250	7	and	and	CCONJ
bjmsr-2230	250	8	bidirectional	bidirectional	ADJ
bjmsr-2230	250	9	lstm	lstm	PROPN
bjmsr-2230	250	10	neural	neural	ADJ
bjmsr-2230	250	11	network	network	NOUN
bjmsr-2230	250	12	models	model	NOUN
bjmsr-2230	250	13	are	be	AUX
bjmsr-2230	250	14	constructed	construct	VERB
bjmsr-2230	250	15	to	to	PART
bjmsr-2230	250	16	verify	verify	VERB
bjmsr-2230	250	17	the	the	DET
bjmsr-2230	250	18	recognition	recognition	NOUN
bjmsr-2230	250	19	results	result	NOUN
bjmsr-2230	250	20	of	of	ADP
bjmsr-2230	250	21	the	the	DET
bjmsr-2230	250	22	databases	database	NOUN
bjmsr-2230	250	23	.	.	PUNCT
bjmsr-2230	251	1	finally	finally	ADV
bjmsr-2230	251	2	,	,	PUNCT
bjmsr-2230	251	3	the	the	DET
bjmsr-2230	251	4	evaluation	evaluation	NOUN
bjmsr-2230	251	5	measure	measure	NOUN
bjmsr-2230	251	6	is	be	AUX
bjmsr-2230	251	7	performed	perform	VERB
bjmsr-2230	251	8	in	in	ADP
bjmsr-2230	251	9	terms	term	NOUN
bjmsr-2230	251	10	of	of	ADP
bjmsr-2230	251	11	precision	precision	NOUN
bjmsr-2230	251	12	,	,	PUNCT
bjmsr-2230	251	13	recall	recall	NOUN
bjmsr-2230	251	14	,	,	PUNCT
bjmsr-2230	251	15	and	and	CCONJ
bjmsr-2230	251	16	f	f	X
bjmsr-2230	251	17	-	-	PUNCT
bjmsr-2230	251	18	measure	measure	NOUN
bjmsr-2230	251	19	,	,	PUNCT
bjmsr-2230	251	20	and	and	CCONJ
bjmsr-2230	251	21	it	it	PRON
bjmsr-2230	251	22	is	be	AUX
bjmsr-2230	251	23	observed	observe	VERB
bjmsr-2230	251	24	that	that	SCONJ
bjmsr-2230	251	25	,	,	PUNCT
bjmsr-2230	251	26	in	in	ADP
bjmsr-2230	251	27	terms	term	NOUN
bjmsr-2230	251	28	of	of	ADP
bjmsr-2230	251	29	performance	performance	NOUN
bjmsr-2230	251	30	evaluation	evaluation	NOUN
bjmsr-2230	251	31	,	,	PUNCT
bjmsr-2230	251	32	the	the	DET
bjmsr-2230	251	33	proposed	propose	VERB
bjmsr-2230	251	34	cnnlstm	cnnlstm	NOUN
bjmsr-2230	251	35	model	model	NOUN
bjmsr-2230	251	36	can	can	AUX
bjmsr-2230	251	37	be	be	AUX
bjmsr-2230	251	38	employed	employ	VERB
bjmsr-2230	251	39	to	to	PART
bjmsr-2230	251	40	achieve	achieve	VERB
bjmsr-2230	251	41	better	well	ADJ
bjmsr-2230	251	42	results	result	NOUN
bjmsr-2230	251	43	in	in	ADP
bjmsr-2230	251	44	recognizing	recognize	VERB
bjmsr-2230	251	45	music	music	NOUN
bjmsr-2230	251	46	emotions	emotion	NOUN
bjmsr-2230	251	47	for	for	ADP
bjmsr-2230	251	48	both	both	CCONJ
bjmsr-2230	251	49	the	the	DET
bjmsr-2230	251	50	assamese	assamese	ADJ
bjmsr-2230	251	51	and	and	CCONJ
bjmsr-2230	251	52	ravdess	ravdess	NOUN
bjmsr-2230	251	53	song	song	NOUN
bjmsr-2230	251	54	databases	database	NOUN
bjmsr-2230	251	55	compared	compare	VERB
bjmsr-2230	251	56	to	to	ADP
bjmsr-2230	251	57	other	other	ADJ
bjmsr-2230	251	58	models	model	NOUN
bjmsr-2230	251	59	.	.	PUNCT
bjmsr-2230	252	1	in	in	ADP
bjmsr-2230	252	2	this	this	DET
bjmsr-2230	252	3	study	study	NOUN
bjmsr-2230	252	4	,	,	PUNCT
bjmsr-2230	252	5	introducing	introduce	VERB
bjmsr-2230	252	6	a	a	DET
bjmsr-2230	252	7	new	new	ADJ
bjmsr-2230	252	8	assamese	assamese	ADJ
bjmsr-2230	252	9	song	song	NOUN
bjmsr-2230	252	10	dataset	dataset	VERB
bjmsr-2230	252	11	deep	deep	ADJ
bjmsr-2230	252	12	learning	learn	VERB
bjmsr-2230	252	13	algorithm	algorithm	NOUN
bjmsr-2230	252	14	and	and	CCONJ
bjmsr-2230	252	15	identifying	identify	VERB
bjmsr-2230	252	16	relevant	relevant	ADJ
bjmsr-2230	252	17	features	feature	NOUN
bjmsr-2230	252	18	of	of	ADP
bjmsr-2230	252	19	mer	mer	PROPN
bjmsr-2230	252	20	enhance	enhance	VERB
bjmsr-2230	252	21	the	the	DET
bjmsr-2230	252	22	theoretical	theoretical	ADJ
bjmsr-2230	252	23	contributions	contribution	NOUN
bjmsr-2230	252	24	to	to	ADP
bjmsr-2230	252	25	the	the	DET
bjmsr-2230	252	26	mer	mer	PROPN
bjmsr-2230	252	27	literature	literature	PROPN
bjmsr-2230	252	28	.	.	PUNCT
bjmsr-2230	253	1	regarding	regard	VERB
bjmsr-2230	253	2	practical	practical	ADJ
bjmsr-2230	253	3	implications	implication	NOUN
bjmsr-2230	253	4	,	,	PUNCT
bjmsr-2230	253	5	the	the	DET
bjmsr-2230	253	6	mer	mer	PROPN
bjmsr-2230	253	7	studies	studies	PROPN
bjmsr-2230	253	8	highlight	highlight	VERB
bjmsr-2230	253	9	its	its	PRON
bjmsr-2230	253	10	ability	ability	NOUN
bjmsr-2230	253	11	to	to	PART
bjmsr-2230	253	12	recognize	recognize	VERB
bjmsr-2230	253	13	and	and	CCONJ
bjmsr-2230	253	14	respond	respond	VERB
bjmsr-2230	253	15	to	to	ADP
bjmsr-2230	253	16	a	a	DET
bjmsr-2230	253	17	listener	listener	NOUN
bjmsr-2230	253	18	's	's	PART
bjmsr-2230	253	19	emotional	emotional	ADJ
bjmsr-2230	253	20	state	state	NOUN
bjmsr-2230	253	21	,	,	PUNCT
bjmsr-2230	253	22	offering	offer	VERB
bjmsr-2230	253	23	significant	significant	ADJ
bjmsr-2230	253	24	support	support	NOUN
bjmsr-2230	253	25	for	for	ADP
bjmsr-2230	253	26	both	both	DET
bjmsr-2230	253	27	music	music	NOUN
bjmsr-2230	253	28	recommender	recommender	NOUN
bjmsr-2230	253	29	systems	system	NOUN
bjmsr-2230	253	30	and	and	CCONJ
bjmsr-2230	253	31	mental	mental	ADJ
bjmsr-2230	253	32	health	health	NOUN
bjmsr-2230	253	33	applications	application	NOUN
bjmsr-2230	253	34	.	.	PUNCT
bjmsr-2230	254	1	in	in	ADP
bjmsr-2230	254	2	the	the	DET
bjmsr-2230	254	3	future	future	NOUN
bjmsr-2230	254	4	,	,	PUNCT
bjmsr-2230	254	5	the	the	DET
bjmsr-2230	254	6	model	model	NOUN
bjmsr-2230	254	7	's	's	PART
bjmsr-2230	254	8	accuracy	accuracy	NOUN
bjmsr-2230	254	9	can	can	AUX
bjmsr-2230	254	10	be	be	AUX
bjmsr-2230	254	11	further	far	ADV
bjmsr-2230	254	12	enhanced	enhance	VERB
bjmsr-2230	254	13	by	by	ADP
bjmsr-2230	254	14	choosing	choose	VERB
bjmsr-2230	254	15	relevant	relevant	ADJ
bjmsr-2230	254	16	features	feature	NOUN
bjmsr-2230	254	17	and	and	CCONJ
bjmsr-2230	254	18	investigating	investigate	VERB
bjmsr-2230	254	19	new	new	ADJ
bjmsr-2230	254	20	classification	classification	NOUN
bjmsr-2230	254	21	models	model	NOUN
bjmsr-2230	254	22	that	that	PRON
bjmsr-2230	254	23	can	can	AUX
bjmsr-2230	254	24	perform	perform	VERB
bjmsr-2230	254	25	effectively	effectively	ADV
bjmsr-2230	254	26	in	in	ADP
bjmsr-2230	254	27	all	all	DET
bjmsr-2230	254	28	evaluation	evaluation	NOUN
bjmsr-2230	254	29	metrics	metric	NOUN
bjmsr-2230	254	30	.	.	PUNCT
bjmsr-2230	255	1	we	we	PRON
bjmsr-2230	255	2	will	will	AUX
bjmsr-2230	255	3	also	also	ADV
bjmsr-2230	255	4	study	study	VERB
bjmsr-2230	255	5	the	the	DET
bjmsr-2230	255	6	performance	performance	NOUN
bjmsr-2230	255	7	of	of	ADP
bjmsr-2230	255	8	the	the	DET
bjmsr-2230	255	9	proposed	propose	VERB
bjmsr-2230	255	10	model	model	NOUN
bjmsr-2230	255	11	with	with	ADP
bjmsr-2230	255	12	different	different	ADJ
bjmsr-2230	255	13	emotional	emotional	ADJ
bjmsr-2230	255	14	music	music	NOUN
bjmsr-2230	255	15	databases	database	NOUN
bjmsr-2230	255	16	.	.	PUNCT
bjmsr-2230	256	1	author	author	NOUN
bjmsr-2230	256	2	contributions	contribution	NOUN
bjmsr-2230	256	3	:	:	PUNCT
bjmsr-2230	256	4	conceptualization	conceptualization	NOUN
bjmsr-2230	256	5	,	,	PUNCT
bjmsr-2230	256	6	j.d	j.d	PROPN
bjmsr-2230	256	7	.	.	PROPN
bjmsr-2230	256	8	and	and	CCONJ
bjmsr-2230	256	9	d.c	d.c	PROPN
bjmsr-2230	256	10	.	.	PROPN
bjmsr-2230	256	11	;	;	PUNCT
bjmsr-2230	257	1	methodology	methodology	NOUN
bjmsr-2230	257	2	,	,	PUNCT
bjmsr-2230	257	3	j.d	j.d	PROPN
bjmsr-2230	257	4	.	.	PROPN
bjmsr-2230	257	5	;	;	PUNCT
bjmsr-2230	257	6	software	software	NOUN
bjmsr-2230	257	7	,	,	PUNCT
bjmsr-2230	257	8	j.d	j.d	PROPN
bjmsr-2230	257	9	.	.	PROPN
bjmsr-2230	257	10	;	;	PUNCT
bjmsr-2230	257	11	validation	validation	NOUN
bjmsr-2230	257	12	,	,	PUNCT
bjmsr-2230	257	13	j.d	j.d	PROPN
bjmsr-2230	257	14	.	.	PROPN
bjmsr-2230	257	15	and	and	CCONJ
bjmsr-2230	257	16	d.c	d.c	PROPN
bjmsr-2230	257	17	.	.	PROPN
bjmsr-2230	257	18	;	;	PUNCT
bjmsr-2230	257	19	formal	formal	ADJ
bjmsr-2230	257	20	analysis	analysis	NOUN
bjmsr-2230	257	21	,	,	PUNCT
bjmsr-2230	257	22	j.d	j.d	PROPN
bjmsr-2230	257	23	.	.	PROPN
bjmsr-2230	257	24	and	and	CCONJ
bjmsr-2230	257	25	d.c	d.c	PROPN
bjmsr-2230	257	26	.	.	PROPN
bjmsr-2230	257	27	;	;	PUNCT
bjmsr-2230	257	28	investigation	investigation	NOUN
bjmsr-2230	257	29	,	,	PUNCT
bjmsr-2230	257	30	j.d	j.d	PROPN
bjmsr-2230	257	31	.	.	PROPN
bjmsr-2230	257	32	;	;	PUNCT
bjmsr-2230	257	33	resources	resource	NOUN
bjmsr-2230	257	34	,	,	PUNCT
bjmsr-2230	257	35	j.d	j.d	PROPN
bjmsr-2230	257	36	.	.	PROPN
bjmsr-2230	257	37	and	and	CCONJ
bjmsr-2230	257	38	d.c	d.c	PROPN
bjmsr-2230	257	39	.	.	PROPN
bjmsr-2230	257	40	;	;	PUNCT
bjmsr-2230	257	41	data	datum	NOUN
bjmsr-2230	257	42	curation	curation	NOUN
bjmsr-2230	257	43	,	,	PUNCT
bjmsr-2230	257	44	j.d	j.d	PROPN
bjmsr-2230	257	45	.	.	PROPN
bjmsr-2230	257	46	,	,	PUNCT
bjmsr-2230	257	47	writing	write	VERB
bjmsr-2230	257	48	–	–	PUNCT
bjmsr-2230	257	49	original	original	ADJ
bjmsr-2230	257	50	draft	draft	NOUN
bjmsr-2230	257	51	preparation	preparation	NOUN
bjmsr-2230	257	52	j.d	j.d	PROPN
bjmsr-2230	257	53	.	.	PROPN
bjmsr-2230	257	54	;	;	PUNCT
bjmsr-2230	257	55	writing	write	VERB
bjmsr-2230	257	56	–	–	PUNCT
bjmsr-2230	257	57	review	review	NOUN
bjmsr-2230	257	58	&	&	CCONJ
bjmsr-2230	257	59	editing	editing	PROPN
bjmsr-2230	257	60	,	,	PUNCT
bjmsr-2230	257	61	j.d	j.d	PROPN
bjmsr-2230	257	62	.	.	PROPN
bjmsr-2230	257	63	and	and	CCONJ
bjmsr-2230	257	64	d.c	d.c	PROPN
bjmsr-2230	257	65	.	.	PROPN
bjmsr-2230	257	66	;	;	PUNCT
bjmsr-2230	258	1	visualization	visualization	NOUN
bjmsr-2230	258	2	,	,	PUNCT
bjmsr-2230	258	3	j.d	j.d	PROPN
bjmsr-2230	258	4	.	.	PROPN
bjmsr-2230	258	5	;	;	PUNCT
bjmsr-2230	258	6	supervision	supervision	PROPN
bjmsr-2230	258	7	,	,	PUNCT
bjmsr-2230	258	8	d.c	d.c	PROPN
bjmsr-2230	258	9	.	.	PUNCT
bjmsr-2230	258	10	;	;	PUNCT
bjmsr-2230	258	11	project	project	NOUN
bjmsr-2230	258	12	administration	administration	NOUN
bjmsr-2230	258	13	,	,	PUNCT
bjmsr-2230	258	14	j.d	j.d	PROPN
bjmsr-2230	258	15	.	.	PROPN
bjmsr-2230	258	16	;	;	PUNCT
bjmsr-2230	258	17	funding	funding	NOUN
bjmsr-2230	258	18	acquisition	acquisition	NOUN
bjmsr-2230	258	19	,	,	PUNCT
bjmsr-2230	258	20	j.d	j.d	PROPN
bjmsr-2230	258	21	.	.	PROPN
bjmsr-2230	258	22	and	and	CCONJ
bjmsr-2230	258	23	d.c	d.c	PROPN
bjmsr-2230	258	24	.	.	PROPN
bjmsr-2230	258	25	author	author	NOUN
bjmsr-2230	258	26	has	have	AUX
bjmsr-2230	258	27	read	read	VERB
bjmsr-2230	258	28	and	and	CCONJ
bjmsr-2230	258	29	agreed	agree	VERB
bjmsr-2230	258	30	to	to	ADP
bjmsr-2230	258	31	the	the	DET
bjmsr-2230	258	32	published	publish	VERB
bjmsr-2230	258	33	version	version	NOUN
bjmsr-2230	258	34	of	of	ADP
bjmsr-2230	258	35	the	the	DET
bjmsr-2230	258	36	manuscript	manuscript	NOUN
bjmsr-2230	258	37	.	.	PUNCT
bjmsr-2230	259	1	institutional	institutional	ADJ
bjmsr-2230	259	2	review	review	PROPN
bjmsr-2230	259	3	board	board	NOUN
bjmsr-2230	259	4	statement	statement	NOUN
bjmsr-2230	259	5	:	:	PUNCT
bjmsr-2230	259	6	ethical	ethical	ADJ
bjmsr-2230	259	7	review	review	NOUN
bjmsr-2230	259	8	and	and	CCONJ
bjmsr-2230	259	9	approval	approval	NOUN
bjmsr-2230	259	10	were	be	AUX
bjmsr-2230	259	11	waived	waive	VERB
bjmsr-2230	259	12	for	for	ADP
bjmsr-2230	259	13	this	this	DET
bjmsr-2230	259	14	study	study	NOUN
bjmsr-2230	259	15	due	due	ADP
bjmsr-2230	259	16	to	to	ADP
bjmsr-2230	259	17	the	the	DET
bjmsr-2230	259	18	research	research	NOUN
bjmsr-2230	259	19	does	do	AUX
bjmsr-2230	259	20	not	not	PART
bjmsr-2230	259	21	deal	deal	VERB
bjmsr-2230	259	22	with	with	ADP
bjmsr-2230	259	23	vulnerable	vulnerable	ADJ
bjmsr-2230	259	24	groups	group	NOUN
bjmsr-2230	259	25	or	or	CCONJ
bjmsr-2230	259	26	sensitive	sensitive	ADJ
bjmsr-2230	259	27	issues	issue	NOUN
bjmsr-2230	259	28	.	.	PUNCT
bjmsr-2230	260	1	funding	funding	NOUN
bjmsr-2230	260	2	:	:	PUNCT
bjmsr-2230	260	3	the	the	DET
bjmsr-2230	260	4	authors	author	NOUN
bjmsr-2230	260	5	received	receive	VERB
bjmsr-2230	260	6	no	no	DET
bjmsr-2230	260	7	direct	direct	ADJ
bjmsr-2230	260	8	funding	funding	NOUN
bjmsr-2230	260	9	for	for	ADP
bjmsr-2230	260	10	this	this	DET
bjmsr-2230	260	11	research	research	NOUN
bjmsr-2230	260	12	.	.	PUNCT
bjmsr-2230	261	1	acknowledgments	acknowledgment	NOUN
bjmsr-2230	261	2	:	:	PUNCT
bjmsr-2230	261	3	not	not	PART
bjmsr-2230	261	4	applicable	applicable	ADJ
bjmsr-2230	261	5	.	.	PUNCT
bjmsr-2230	262	1	informed	informed	ADJ
bjmsr-2230	262	2	consent	consent	NOUN
bjmsr-2230	262	3	statement	statement	NOUN
bjmsr-2230	262	4	:	:	PUNCT
bjmsr-2230	262	5	informed	inform	VERB
bjmsr-2230	262	6	consent	consent	NOUN
bjmsr-2230	262	7	was	be	AUX
bjmsr-2230	262	8	obtained	obtain	VERB
bjmsr-2230	262	9	from	from	ADP
bjmsr-2230	262	10	all	all	DET
bjmsr-2230	262	11	subjects	subject	NOUN
bjmsr-2230	262	12	involved	involve	VERB
bjmsr-2230	262	13	in	in	ADP
bjmsr-2230	262	14	the	the	DET
bjmsr-2230	262	15	study	study	NOUN
bjmsr-2230	262	16	.	.	PUNCT
bjmsr-2230	263	1	data	datum	NOUN
bjmsr-2230	263	2	availability	availability	NOUN
bjmsr-2230	263	3	statement	statement	NOUN
bjmsr-2230	263	4	:	:	PUNCT
bjmsr-2230	263	5	the	the	DET
bjmsr-2230	263	6	ravdess	ravdess	NOUN
bjmsr-2230	263	7	data	datum	NOUN
bjmsr-2230	263	8	described	describe	VERB
bjmsr-2230	263	9	in	in	ADP
bjmsr-2230	263	10	this	this	DET
bjmsr-2230	263	11	research	research	NOUN
bjmsr-2230	263	12	paper	paper	NOUN
bjmsr-2230	263	13	are	be	AUX
bjmsr-2230	263	14	openly	openly	ADV
bjmsr-2230	263	15	available	available	ADJ
bjmsr-2230	263	16	at	at	ADP
bjmsr-2230	263	17	https://www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-song-audio	https://www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-song-audio	NOUN
bjmsr-2230	263	18	.	.	PUNCT
bjmsr-2230	264	1	the	the	DET
bjmsr-2230	264	2	assamese	assamese	PROPN
bjmsr-2230	264	3	data	datum	NOUN
bjmsr-2230	264	4	presented	present	VERB
bjmsr-2230	264	5	in	in	ADP
bjmsr-2230	264	6	this	this	DET
bjmsr-2230	264	7	study	study	NOUN
bjmsr-2230	264	8	are	be	AUX
bjmsr-2230	264	9	available	available	ADJ
bjmsr-2230	264	10	on	on	ADP
bjmsr-2230	264	11	request	request	NOUN
bjmsr-2230	264	12	from	from	ADP
bjmsr-2230	264	13	the	the	DET
bjmsr-2230	264	14	corresponding	corresponding	ADJ
bjmsr-2230	264	15	author	author	NOUN
bjmsr-2230	264	16	.	.	PUNCT
bjmsr-2230	265	1	conflicts	conflict	NOUN
bjmsr-2230	265	2	of	of	ADP
bjmsr-2230	265	3	interest	interest	NOUN
bjmsr-2230	265	4	:	:	PUNCT
bjmsr-2230	265	5	the	the	DET
bjmsr-2230	265	6	authors	author	NOUN
bjmsr-2230	265	7	declare	declare	VERB
bjmsr-2230	265	8	no	no	DET
bjmsr-2230	265	9	conflict	conflict	NOUN
bjmsr-2230	265	10	of	of	ADP
bjmsr-2230	265	11	interest	interest	NOUN
bjmsr-2230	265	12	.	.	PUNCT
bjmsr-2230	266	1	references	reference	NOUN
bjmsr-2230	266	2	agga	agga	PROPN
bjmsr-2230	266	3	,	,	PUNCT
bjmsr-2230	266	4	a.	a.	NOUN
bjmsr-2230	266	5	,	,	PUNCT
bjmsr-2230	266	6	abbou	abbou	PROPN
bjmsr-2230	266	7	,	,	PUNCT
bjmsr-2230	266	8	a.	a.	NOUN
bjmsr-2230	266	9	,	,	PUNCT
bjmsr-2230	266	10	labbadi	labbadi	NOUN
bjmsr-2230	266	11	,	,	PUNCT
bjmsr-2230	266	12	m.	m.	NOUN
bjmsr-2230	266	13	,	,	PUNCT
bjmsr-2230	266	14	houm	houm	PROPN
bjmsr-2230	266	15	,	,	PUNCT
bjmsr-2230	266	16	y.	y.	PROPN
bjmsr-2230	266	17	e.	e.	PROPN
bjmsr-2230	266	18	,	,	PUNCT
bjmsr-2230	266	19	&	&	CCONJ
bjmsr-2230	266	20	ali	ali	PROPN
bjmsr-2230	266	21	,	,	PUNCT
bjmsr-2230	266	22	i.	i.	PROPN
bjmsr-2230	266	23	h.	h.	PROPN
bjmsr-2230	266	24	o.	o.	PROPN
bjmsr-2230	267	1	(	(	PUNCT
bjmsr-2230	267	2	2022	2022	NUM
bjmsr-2230	267	3	)	)	PUNCT
bjmsr-2230	267	4	.	.	PUNCT
bjmsr-2230	268	1	cnn	cnn	PROPN
bjmsr-2230	268	2	-	-	PUNCT
bjmsr-2230	268	3	lstm	lstm	PROPN
bjmsr-2230	268	4	:	:	PUNCT
bjmsr-2230	268	5	an	an	DET
bjmsr-2230	268	6	efficient	efficient	ADJ
bjmsr-2230	268	7	hybrid	hybrid	ADJ
bjmsr-2230	268	8	deep	deep	ADJ
bjmsr-2230	268	9	learning	learning	NOUN
bjmsr-2230	268	10	architecture	architecture	NOUN
bjmsr-2230	268	11	for	for	ADP
bjmsr-2230	268	12	predicting	predict	VERB
bjmsr-2230	268	13	short	short	ADJ
bjmsr-2230	268	14	-	-	PUNCT
bjmsr-2230	268	15	term	term	NOUN
bjmsr-2230	268	16	photovoltaic	photovoltaic	NOUN
bjmsr-2230	268	17	power	power	NOUN
bjmsr-2230	268	18	production	production	NOUN
bjmsr-2230	268	19	.	.	PUNCT
bjmsr-2230	269	1	electric	electric	PROPN
bjmsr-2230	269	2	power	power	PROPN
bjmsr-2230	269	3	systems	system	NOUN
bjmsr-2230	269	4	research	research	NOUN
bjmsr-2230	269	5	,	,	PUNCT
bjmsr-2230	269	6	208	208	NUM
bjmsr-2230	269	7	,	,	PUNCT
bjmsr-2230	269	8	107908	107908	NUM
bjmsr-2230	269	9	.	.	PUNCT
bjmsr-2230	270	1	https://doi.org/10.1016/j.epsr.2022.107908	https://doi.org/10.1016/j.epsr.2022.107908	PROPN
bjmsr-2230	270	2	aziz	aziz	PROPN
bjmsr-2230	270	3	,	,	PUNCT
bjmsr-2230	270	4	m.	m.	NOUN
bjmsr-2230	270	5	n.	n.	PROPN
bjmsr-2230	270	6	(	(	PUNCT
bjmsr-2230	270	7	2020	2020	NUM
bjmsr-2230	270	8	)	)	PUNCT
bjmsr-2230	270	9	.	.	PUNCT
bjmsr-2230	271	1	a	a	DET
bjmsr-2230	271	2	review	review	NOUN
bjmsr-2230	271	3	on	on	ADP
bjmsr-2230	271	4	artificial	artificial	ADJ
bjmsr-2230	271	5	neural	neural	ADJ
bjmsr-2230	271	6	networks	network	NOUN
bjmsr-2230	271	7	and	and	CCONJ
bjmsr-2230	271	8	its	its	PRON
bjmsr-2230	271	9	’	'	PUNCT
bjmsr-2230	271	10	applicability	applicability	NOUN
bjmsr-2230	271	11	.	.	PUNCT
bjmsr-2230	272	1	bangladesh	bangladesh	PROPN
bjmsr-2230	272	2	journal	journal	PROPN
bjmsr-2230	272	3	of	of	ADP
bjmsr-2230	272	4	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	272	5	scientific	scientific	ADJ
bjmsr-2230	272	6	research	research	NOUN
bjmsr-2230	272	7	,	,	PUNCT
bjmsr-2230	272	8	2(1	2(1	NUM
bjmsr-2230	272	9	)	)	PUNCT
bjmsr-2230	272	10	,	,	PUNCT
bjmsr-2230	272	11	48	48	NUM
bjmsr-2230	272	12	-	-	SYM
bjmsr-2230	272	13	51	51	NUM
bjmsr-2230	272	14	.	.	PUNCT
bjmsr-2230	273	1	https://doi.org/10.46281/bjmsr.v2i1.609	https://doi.org/10.46281/bjmsr.v2i1.609	VERB
bjmsr-2230	273	2	https://doi.org/10.1016/j.epsr.2022.107908	https://doi.org/10.1016/j.epsr.2022.107908	PROPN
bjmsr-2230	273	3	dutta	dutta	PROPN
bjmsr-2230	273	4	&	&	CCONJ
bjmsr-2230	273	5	chanda	chanda	PROPN
bjmsr-2230	273	6	,	,	PUNCT
bjmsr-2230	273	7	bangladesh	bangladesh	PROPN
bjmsr-2230	273	8	journal	journal	NOUN
bjmsr-2230	273	9	of	of	ADP
bjmsr-2230	273	10	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	273	11	scientific	scientific	ADJ
bjmsr-2230	273	12	research	research	NOUN
bjmsr-2230	273	13	9(3	9(3	NUM
bjmsr-2230	273	14	)	)	PUNCT
bjmsr-2230	273	15	(	(	PUNCT
bjmsr-2230	273	16	2024	2024	NUM
bjmsr-2230	273	17	)	)	PUNCT
bjmsr-2230	273	18	,	,	PUNCT
bjmsr-2230	273	19	21	21	NUM
bjmsr-2230	273	20	-	-	SYM
bjmsr-2230	273	21	32	32	NUM
bjmsr-2230	273	22	31	31	NUM
bjmsr-2230	273	23	aksan	aksan	ADJ
bjmsr-2230	273	24	,	,	PUNCT
bjmsr-2230	273	25	f.	f.	PROPN
bjmsr-2230	273	26	,	,	PUNCT
bjmsr-2230	273	27	li	li	PROPN
bjmsr-2230	273	28	,	,	PUNCT
bjmsr-2230	273	29	y.	y.	PROPN
bjmsr-2230	273	30	,	,	PUNCT
bjmsr-2230	273	31	suresh	suresh	PROPN
bjmsr-2230	273	32	,	,	PUNCT
bjmsr-2230	273	33	v.	v.	PROPN
bjmsr-2230	273	34	,	,	PUNCT
bjmsr-2230	273	35	&	&	CCONJ
bjmsr-2230	273	36	janik	janik	X
bjmsr-2230	273	37	,	,	PUNCT
bjmsr-2230	273	38	p.	p.	NOUN
bjmsr-2230	273	39	(	(	PUNCT
bjmsr-2230	273	40	2023	2023	NUM
bjmsr-2230	273	41	)	)	PUNCT
bjmsr-2230	273	42	.	.	PUNCT
bjmsr-2230	274	1	cnn	cnn	PROPN
bjmsr-2230	274	2	-	-	PUNCT
bjmsr-2230	274	3	lstm	lstm	PROPN
bjmsr-2230	274	4	vs.	vs.	ADP
bjmsr-2230	274	5	lstm	lstm	PROPN
bjmsr-2230	274	6	-	-	PUNCT
bjmsr-2230	274	7	cnn	cnn	PROPN
bjmsr-2230	274	8	to	to	PART
bjmsr-2230	274	9	predict	predict	VERB
bjmsr-2230	274	10	power	power	NOUN
bjmsr-2230	274	11	flow	flow	NOUN
bjmsr-2230	274	12	direction	direction	NOUN
bjmsr-2230	274	13	:	:	PUNCT
bjmsr-2230	274	14	a	a	DET
bjmsr-2230	274	15	case	case	NOUN
bjmsr-2230	274	16	study	study	NOUN
bjmsr-2230	274	17	of	of	ADP
bjmsr-2230	274	18	the	the	DET
bjmsr-2230	274	19	high	high	ADJ
bjmsr-2230	274	20	-	-	PUNCT
bjmsr-2230	274	21	voltage	voltage	NOUN
bjmsr-2230	274	22	subnet	subnet	NOUN
bjmsr-2230	274	23	of	of	ADP
bjmsr-2230	274	24	northeast	northeast	PROPN
bjmsr-2230	274	25	germany	germany	PROPN
bjmsr-2230	274	26	.	.	PUNCT
bjmsr-2230	275	1	sensors	sensor	NOUN
bjmsr-2230	275	2	,	,	PUNCT
bjmsr-2230	275	3	23(2	23(2	NOUN
bjmsr-2230	275	4	)	)	PUNCT
bjmsr-2230	275	5	,	,	PUNCT
bjmsr-2230	275	6	901	901	NUM
bjmsr-2230	275	7	.	.	PUNCT
bjmsr-2230	276	1	https://doi.org/10.3390/s23020901	https://doi.org/10.3390/s23020901	NUM
bjmsr-2230	276	2	aljanaki	aljanaki	NOUN
bjmsr-2230	276	3	,	,	PUNCT
bjmsr-2230	276	4	a.	a.	PROPN
bjmsr-2230	276	5	,	,	PUNCT
bjmsr-2230	276	6	yang	yang	PROPN
bjmsr-2230	276	7	,	,	PUNCT
bjmsr-2230	276	8	y.	y.	PROPN
bjmsr-2230	276	9	h.	h.	PROPN
bjmsr-2230	276	10	,	,	PUNCT
bjmsr-2230	276	11	&	&	CCONJ
bjmsr-2230	276	12	soleymani	soleymani	PROPN
bjmsr-2230	276	13	,	,	PUNCT
bjmsr-2230	276	14	m.	m.	NOUN
bjmsr-2230	276	15	(	(	PUNCT
bjmsr-2230	276	16	2017	2017	NUM
bjmsr-2230	276	17	)	)	PUNCT
bjmsr-2230	276	18	.	.	PUNCT
bjmsr-2230	277	1	developing	develop	VERB
bjmsr-2230	277	2	a	a	DET
bjmsr-2230	277	3	benchmark	benchmark	NOUN
bjmsr-2230	277	4	for	for	ADP
bjmsr-2230	277	5	emotional	emotional	ADJ
bjmsr-2230	277	6	analysis	analysis	NOUN
bjmsr-2230	277	7	of	of	ADP
bjmsr-2230	277	8	music	music	NOUN
bjmsr-2230	277	9	.	.	PUNCT
bjmsr-2230	278	1	plos	plos	PROPN
bjmsr-2230	278	2	one	one	NUM
bjmsr-2230	278	3	,	,	PUNCT
bjmsr-2230	278	4	12(3	12(3	NUM
bjmsr-2230	278	5	)	)	PUNCT
bjmsr-2230	278	6	,	,	PUNCT
bjmsr-2230	278	7	e0173392	e0173392	PROPN
bjmsr-2230	278	8	.	.	PUNCT
bjmsr-2230	278	9	https://doi.org/10.1371/journal.pone.0173392	https://doi.org/10.1371/journal.pone.0173392	PROPN
bjmsr-2230	278	10	bhatkar	bhatkar	PROPN
bjmsr-2230	278	11	,	,	PUNCT
bjmsr-2230	278	12	a.	a.	PROPN
bjmsr-2230	278	13	p.	p.	PROPN
bjmsr-2230	278	14	,	,	PUNCT
bjmsr-2230	278	15	&	&	CCONJ
bjmsr-2230	278	16	kharat	kharat	PROPN
bjmsr-2230	278	17	,	,	PUNCT
bjmsr-2230	278	18	g.	g.	PROPN
bjmsr-2230	278	19	u.	u.	PROPN
bjmsr-2230	278	20	(	(	PUNCT
bjmsr-2230	278	21	2015	2015	NUM
bjmsr-2230	278	22	,	,	PUNCT
bjmsr-2230	278	23	december	december	PROPN
bjmsr-2230	278	24	)	)	PUNCT
bjmsr-2230	278	25	.	.	PUNCT
bjmsr-2230	279	1	detection	detection	NOUN
bjmsr-2230	279	2	of	of	ADP
bjmsr-2230	279	3	diabetic	diabetic	ADJ
bjmsr-2230	279	4	retinopathy	retinopathy	NOUN
bjmsr-2230	279	5	in	in	ADP
bjmsr-2230	279	6	retinal	retinal	ADJ
bjmsr-2230	279	7	images	image	NOUN
bjmsr-2230	279	8	using	use	VERB
bjmsr-2230	279	9	mlp	mlp	PROPN
bjmsr-2230	279	10	classifier	classifier	NOUN
bjmsr-2230	279	11	.	.	PUNCT
bjmsr-2230	280	1	in	in	ADP
bjmsr-2230	280	2	2015	2015	NUM
bjmsr-2230	280	3	ieee	ieee	NOUN
bjmsr-2230	280	4	international	international	ADJ
bjmsr-2230	280	5	symposium	symposium	NOUN
bjmsr-2230	280	6	on	on	ADP
bjmsr-2230	280	7	nanoelectronic	nanoelectronic	PROPN
bjmsr-2230	280	8	and	and	CCONJ
bjmsr-2230	280	9	information	information	NOUN
bjmsr-2230	280	10	systems	system	NOUN
bjmsr-2230	280	11	(	(	PUNCT
bjmsr-2230	280	12	pp	pp	ADJ
bjmsr-2230	280	13	.	.	PUNCT
bjmsr-2230	281	1	331	331	NUM
bjmsr-2230	281	2	-	-	NUM
bjmsr-2230	281	3	335	335	NUM
bjmsr-2230	281	4	)	)	PUNCT
bjmsr-2230	281	5	.	.	PUNCT
bjmsr-2230	282	1	ieee	ieee	PROPN
bjmsr-2230	282	2	.	.	PUNCT
bjmsr-2230	283	1	https://doi.org/10.1109/inis.2015.30	https://doi.org/10.1109/inis.2015.30	PROPN
bjmsr-2230	283	2	chen	chen	PROPN
bjmsr-2230	283	3	,	,	PUNCT
bjmsr-2230	283	4	y.	y.	PROPN
bjmsr-2230	283	5	a.	a.	PROPN
bjmsr-2230	283	6	,	,	PUNCT
bjmsr-2230	283	7	yang	yang	PROPN
bjmsr-2230	283	8	,	,	PUNCT
bjmsr-2230	283	9	y.	y.	PROPN
bjmsr-2230	283	10	h.	h.	PROPN
bjmsr-2230	283	11	,	,	PUNCT
bjmsr-2230	283	12	wang	wang	PROPN
bjmsr-2230	283	13	,	,	PUNCT
bjmsr-2230	283	14	j.	j.	PROPN
bjmsr-2230	283	15	c.	c.	PROPN
bjmsr-2230	283	16	,	,	PUNCT
bjmsr-2230	283	17	&	&	CCONJ
bjmsr-2230	283	18	chen	chen	PROPN
bjmsr-2230	283	19	,	,	PUNCT
bjmsr-2230	283	20	h.	h.	PROPN
bjmsr-2230	283	21	(	(	PUNCT
bjmsr-2230	283	22	2015	2015	NUM
bjmsr-2230	283	23	,	,	PUNCT
bjmsr-2230	283	24	april	april	PROPN
bjmsr-2230	283	25	)	)	PUNCT
bjmsr-2230	283	26	.	.	PUNCT
bjmsr-2230	284	1	the	the	DET
bjmsr-2230	284	2	amg1608	amg1608	NOUN
bjmsr-2230	284	3	dataset	dataset	VERB
bjmsr-2230	284	4	for	for	ADP
bjmsr-2230	284	5	music	music	NOUN
bjmsr-2230	284	6	emotion	emotion	NOUN
bjmsr-2230	284	7	recognition	recognition	NOUN
bjmsr-2230	284	8	.	.	PUNCT
bjmsr-2230	285	1	in	in	ADP
bjmsr-2230	285	2	2015	2015	NUM
bjmsr-2230	285	3	ieee	ieee	NOUN
bjmsr-2230	285	4	international	international	ADJ
bjmsr-2230	285	5	conference	conference	NOUN
bjmsr-2230	285	6	on	on	ADP
bjmsr-2230	285	7	acoustics	acoustic	NOUN
bjmsr-2230	285	8	,	,	PUNCT
bjmsr-2230	285	9	speech	speech	NOUN
bjmsr-2230	285	10	and	and	CCONJ
bjmsr-2230	285	11	signal	signal	NOUN
bjmsr-2230	285	12	processing	processing	NOUN
bjmsr-2230	285	13	(	(	PUNCT
bjmsr-2230	285	14	icassp	icassp	PROPN
bjmsr-2230	285	15	)	)	PUNCT
bjmsr-2230	285	16	(	(	PUNCT
bjmsr-2230	285	17	pp	pp	X
bjmsr-2230	285	18	.	.	PUNCT
bjmsr-2230	286	1	693	693	NUM
bjmsr-2230	286	2	-	-	SYM
bjmsr-2230	286	3	697	697	NUM
bjmsr-2230	286	4	)	)	PUNCT
bjmsr-2230	286	5	.	.	PUNCT
bjmsr-2230	287	1	ieee	ieee	NOUN
bjmsr-2230	287	2	.	.	PUNCT
bjmsr-2230	288	1	https://doi.org/10.1109/icassp.2015.7178058	https://doi.org/10.1109/icassp.2015.7178058	PROPN
bjmsr-2230	288	2	christy	christy	PROPN
bjmsr-2230	288	3	,	,	PUNCT
bjmsr-2230	288	4	a.	a.	NOUN
bjmsr-2230	288	5	,	,	PUNCT
bjmsr-2230	288	6	vaithyasubramanian	vaithyasubramanian	ADJ
bjmsr-2230	288	7	,	,	PUNCT
bjmsr-2230	288	8	s.	s.	PROPN
bjmsr-2230	288	9	,	,	PUNCT
bjmsr-2230	288	10	jesudoss	jesudoss	PROPN
bjmsr-2230	288	11	,	,	PUNCT
bjmsr-2230	288	12	a.	a.	NOUN
bjmsr-2230	288	13	,	,	PUNCT
bjmsr-2230	288	14	&	&	CCONJ
bjmsr-2230	288	15	praveena	praveena	PROPN
bjmsr-2230	288	16	,	,	PUNCT
bjmsr-2230	288	17	m.	m.	NOUN
bjmsr-2230	288	18	d.	d.	PROPN
bjmsr-2230	288	19	a.	a.	PROPN
bjmsr-2230	288	20	(	(	PUNCT
bjmsr-2230	288	21	2020	2020	NUM
bjmsr-2230	288	22	)	)	PUNCT
bjmsr-2230	288	23	.	.	PUNCT
bjmsr-2230	289	1	multimodal	multimodal	NOUN
bjmsr-2230	289	2	speech	speech	NOUN
bjmsr-2230	289	3	emotion	emotion	NOUN
bjmsr-2230	289	4	recognition	recognition	NOUN
bjmsr-2230	289	5	and	and	CCONJ
bjmsr-2230	289	6	classification	classification	NOUN
bjmsr-2230	289	7	using	use	VERB
bjmsr-2230	289	8	convolutional	convolutional	ADJ
bjmsr-2230	289	9	neural	neural	ADJ
bjmsr-2230	289	10	network	network	NOUN
bjmsr-2230	289	11	techniques	technique	NOUN
bjmsr-2230	289	12	.	.	PUNCT
bjmsr-2230	290	1	international	international	ADJ
bjmsr-2230	290	2	journal	journal	PROPN
bjmsr-2230	290	3	of	of	ADP
bjmsr-2230	290	4	speech	speech	NOUN
bjmsr-2230	290	5	technology	technology	NOUN
bjmsr-2230	290	6	,	,	PUNCT
bjmsr-2230	290	7	23(2	23(2	NOUN
bjmsr-2230	290	8	)	)	PUNCT
bjmsr-2230	290	9	,	,	PUNCT
bjmsr-2230	290	10	381–388	381–388	NUM
bjmsr-2230	290	11	.	.	PUNCT
bjmsr-2230	291	1	https://doi.org/10.1007/s10772-020-09713-y	https://doi.org/10.1007/s10772-020-09713-y	PROPN
bjmsr-2230	291	2	de	de	X
bjmsr-2230	291	3	benito	benito	PROPN
bjmsr-2230	291	4	-	-	NOUN
bjmsr-2230	291	5	gorron	gorron	NOUN
bjmsr-2230	291	6	,	,	PUNCT
bjmsr-2230	291	7	d.	d.	PROPN
bjmsr-2230	291	8	,	,	PUNCT
bjmsr-2230	291	9	lozano	lozano	PROPN
bjmsr-2230	291	10	-	-	PUNCT
bjmsr-2230	291	11	diez	diez	PROPN
bjmsr-2230	291	12	,	,	PUNCT
bjmsr-2230	291	13	a.	a.	NOUN
bjmsr-2230	291	14	,	,	PUNCT
bjmsr-2230	291	15	toledano	toledano	PROPN
bjmsr-2230	291	16	,	,	PUNCT
bjmsr-2230	291	17	d.	d.	PROPN
bjmsr-2230	291	18	t.	t.	PROPN
bjmsr-2230	291	19	,	,	PUNCT
bjmsr-2230	291	20	&	&	CCONJ
bjmsr-2230	291	21	gonzalez	gonzalez	PROPN
bjmsr-2230	291	22	-	-	PUNCT
bjmsr-2230	291	23	rodriguez	rodriguez	PROPN
bjmsr-2230	291	24	,	,	PUNCT
bjmsr-2230	291	25	j.	j.	PROPN
bjmsr-2230	291	26	(	(	PUNCT
bjmsr-2230	291	27	2019	2019	NUM
bjmsr-2230	291	28	)	)	PUNCT
bjmsr-2230	291	29	.	.	PUNCT
bjmsr-2230	292	1	exploring	explore	VERB
bjmsr-2230	292	2	convolutional	convolutional	ADJ
bjmsr-2230	292	3	,	,	PUNCT
bjmsr-2230	292	4	recurrent	recurrent	NOUN
bjmsr-2230	292	5	,	,	PUNCT
bjmsr-2230	292	6	and	and	CCONJ
bjmsr-2230	292	7	hybrid	hybrid	ADJ
bjmsr-2230	292	8	deep	deep	ADJ
bjmsr-2230	292	9	neural	neural	ADJ
bjmsr-2230	292	10	networks	network	NOUN
bjmsr-2230	292	11	for	for	ADP
bjmsr-2230	292	12	speech	speech	NOUN
bjmsr-2230	292	13	and	and	CCONJ
bjmsr-2230	292	14	music	music	NOUN
bjmsr-2230	292	15	detection	detection	NOUN
bjmsr-2230	292	16	in	in	ADP
bjmsr-2230	292	17	a	a	DET
bjmsr-2230	292	18	large	large	ADJ
bjmsr-2230	292	19	audio	audio	ADJ
bjmsr-2230	292	20	dataset	dataset	NOUN
bjmsr-2230	292	21	.	.	PUNCT
bjmsr-2230	293	1	eurasip	eurasip	PROPN
bjmsr-2230	293	2	journal	journal	PROPN
bjmsr-2230	293	3	on	on	ADP
bjmsr-2230	293	4	audio	audio	NOUN
bjmsr-2230	293	5	,	,	PUNCT
bjmsr-2230	293	6	speech	speech	NOUN
bjmsr-2230	293	7	and	and	CCONJ
bjmsr-2230	293	8	music	music	NOUN
bjmsr-2230	293	9	processing	processing	NOUN
bjmsr-2230	293	10	,	,	PUNCT
bjmsr-2230	293	11	2019(1	2019(1	NUM
bjmsr-2230	293	12	)	)	PUNCT
bjmsr-2230	293	13	,	,	PUNCT
bjmsr-2230	293	14	1	1	NUM
bjmsr-2230	293	15	-	-	SYM
bjmsr-2230	293	16	18	18	NUM
bjmsr-2230	293	17	.	.	PUNCT
bjmsr-2230	294	1	https://doi.org/10.1186/s13636-019-0152-1	https://doi.org/10.1186/s13636-019-0152-1	NUM
bjmsr-2230	294	2	delbouys	delbouy	NOUN
bjmsr-2230	294	3	,	,	PUNCT
bjmsr-2230	294	4	r.	r.	PROPN
bjmsr-2230	294	5	,	,	PUNCT
bjmsr-2230	294	6	hennequin	hennequin	PROPN
bjmsr-2230	294	7	,	,	PUNCT
bjmsr-2230	294	8	r.	r.	PROPN
bjmsr-2230	294	9	,	,	PUNCT
bjmsr-2230	294	10	piccoli	piccoli	PROPN
bjmsr-2230	294	11	,	,	PUNCT
bjmsr-2230	294	12	f.	f.	PROPN
bjmsr-2230	294	13	,	,	PUNCT
bjmsr-2230	294	14	royo	royo	PROPN
bjmsr-2230	294	15	-	-	PUNCT
bjmsr-2230	294	16	letelier	letelier	PROPN
bjmsr-2230	294	17	,	,	PUNCT
bjmsr-2230	294	18	j.	j.	PROPN
bjmsr-2230	294	19	,	,	PUNCT
bjmsr-2230	294	20	&	&	CCONJ
bjmsr-2230	294	21	moussallam	moussallam	PROPN
bjmsr-2230	294	22	,	,	PUNCT
bjmsr-2230	294	23	m.	m.	NOUN
bjmsr-2230	294	24	(	(	PUNCT
bjmsr-2230	294	25	2018	2018	NUM
bjmsr-2230	294	26	)	)	PUNCT
bjmsr-2230	294	27	.	.	PUNCT
bjmsr-2230	295	1	music	music	NOUN
bjmsr-2230	295	2	mood	mood	NOUN
bjmsr-2230	295	3	detection	detection	NOUN
bjmsr-2230	295	4	based	base	VERB
bjmsr-2230	295	5	on	on	ADP
bjmsr-2230	295	6	audio	audio	NOUN
bjmsr-2230	295	7	and	and	CCONJ
bjmsr-2230	295	8	lyrics	lyric	NOUN
bjmsr-2230	295	9	with	with	ADP
bjmsr-2230	295	10	deep	deep	ADJ
bjmsr-2230	295	11	neural	neural	ADJ
bjmsr-2230	295	12	net	net	NOUN
bjmsr-2230	295	13	.	.	PUNCT
bjmsr-2230	296	1	arxiv	arxiv	PROPN
bjmsr-2230	296	2	(	(	PUNCT
bjmsr-2230	296	3	cornell	cornell	PROPN
bjmsr-2230	296	4	university	university	PROPN
bjmsr-2230	296	5	)	)	PUNCT
bjmsr-2230	296	6	.	.	PUNCT
bjmsr-2230	297	1	https://doi.org/10.48550/arxiv.1809.07276	https://doi.org/10.48550/arxiv.1809.07276	PROPN
bjmsr-2230	297	2	deng	deng	PROPN
bjmsr-2230	297	3	,	,	PUNCT
bjmsr-2230	297	4	j.	j.	PROPN
bjmsr-2230	297	5	j.	j.	PROPN
bjmsr-2230	297	6	,	,	PUNCT
bjmsr-2230	297	7	&	&	CCONJ
bjmsr-2230	297	8	leung	leung	PROPN
bjmsr-2230	297	9	,	,	PUNCT
bjmsr-2230	297	10	c.	c.	PROPN
bjmsr-2230	297	11	h.	h.	PROPN
bjmsr-2230	297	12	c.	c.	PROPN
bjmsr-2230	297	13	(	(	PUNCT
bjmsr-2230	297	14	2012	2012	NUM
bjmsr-2230	297	15	)	)	PUNCT
bjmsr-2230	297	16	.	.	PUNCT
bjmsr-2230	298	1	music	music	NOUN
bjmsr-2230	298	2	emotion	emotion	NOUN
bjmsr-2230	298	3	retrieval	retrieval	NOUN
bjmsr-2230	298	4	based	base	VERB
bjmsr-2230	298	5	on	on	ADP
bjmsr-2230	298	6	acoustic	acoustic	ADJ
bjmsr-2230	298	7	features	feature	NOUN
bjmsr-2230	298	8	.	.	PUNCT
bjmsr-2230	299	1	in	in	ADP
bjmsr-2230	299	2	lecture	lecture	NOUN
bjmsr-2230	299	3	notes	note	NOUN
bjmsr-2230	299	4	in	in	ADP
bjmsr-2230	299	5	electrical	electrical	ADJ
bjmsr-2230	299	6	engineering	engineering	NOUN
bjmsr-2230	299	7	(	(	PUNCT
bjmsr-2230	299	8	pp	pp	ADJ
bjmsr-2230	299	9	.	.	PUNCT
bjmsr-2230	300	1	169–177	169–177	NUM
bjmsr-2230	300	2	)	)	PUNCT
bjmsr-2230	300	3	.	.	PUNCT
bjmsr-2230	301	1	https://doi.org/10.1007/978-3-642-28744-2_22	https://doi.org/10.1007/978-3-642-28744-2_22	PUNCT
bjmsr-2230	301	2	domínguez	domínguez	NOUN
bjmsr-2230	301	3	-	-	PUNCT
bjmsr-2230	301	4	jiménez	jiménez	PROPN
bjmsr-2230	301	5	,	,	PUNCT
bjmsr-2230	301	6	j.	j.	PROPN
bjmsr-2230	301	7	,	,	PUNCT
bjmsr-2230	301	8	campo	campo	NOUN
bjmsr-2230	301	9	-	-	PUNCT
bjmsr-2230	301	10	landines	landine	NOUN
bjmsr-2230	301	11	,	,	PUNCT
bjmsr-2230	301	12	k.	k.	PROPN
bjmsr-2230	301	13	,	,	PUNCT
bjmsr-2230	301	14	martínez	martínez	PROPN
bjmsr-2230	301	15	-	-	PUNCT
bjmsr-2230	301	16	santos	santos	PROPN
bjmsr-2230	301	17	,	,	PUNCT
bjmsr-2230	301	18	j.	j.	PROPN
bjmsr-2230	301	19	,	,	PUNCT
bjmsr-2230	301	20	delahoz	delahoz	PROPN
bjmsr-2230	301	21	,	,	PUNCT
bjmsr-2230	301	22	e.	e.	PROPN
bjmsr-2230	301	23	,	,	PUNCT
bjmsr-2230	301	24	&	&	CCONJ
bjmsr-2230	301	25	contreras	contreras	PROPN
bjmsr-2230	301	26	-	-	PUNCT
bjmsr-2230	301	27	ortiz	ortiz	PROPN
bjmsr-2230	301	28	,	,	PUNCT
bjmsr-2230	301	29	s.	s.	PROPN
bjmsr-2230	301	30	(	(	PUNCT
bjmsr-2230	301	31	2020	2020	NUM
bjmsr-2230	301	32	)	)	PUNCT
bjmsr-2230	301	33	.	.	PUNCT
bjmsr-2230	302	1	a	a	DET
bjmsr-2230	302	2	machine	machine	NOUN
bjmsr-2230	302	3	learning	learn	VERB
bjmsr-2230	302	4	model	model	NOUN
bjmsr-2230	302	5	for	for	ADP
bjmsr-2230	302	6	emotion	emotion	NOUN
bjmsr-2230	302	7	recognition	recognition	NOUN
bjmsr-2230	302	8	from	from	ADP
bjmsr-2230	302	9	physiological	physiological	ADJ
bjmsr-2230	302	10	signals	signal	NOUN
bjmsr-2230	302	11	.	.	PUNCT
bjmsr-2230	303	1	biomedical	biomedical	ADJ
bjmsr-2230	303	2	signal	signal	NOUN
bjmsr-2230	303	3	processing	processing	NOUN
bjmsr-2230	303	4	and	and	CCONJ
bjmsr-2230	303	5	control	control	NOUN
bjmsr-2230	303	6	,	,	PUNCT
bjmsr-2230	303	7	55	55	NUM
bjmsr-2230	303	8	,	,	PUNCT
bjmsr-2230	303	9	101646	101646	NUM
bjmsr-2230	303	10	.	.	PUNCT
bjmsr-2230	304	1	https://doi.org/10.1016/j.bspc.2019.101646	https://doi.org/10.1016/j.bspc.2019.101646	PROPN
bjmsr-2230	304	2	ellis	ellis	PROPN
bjmsr-2230	304	3	,	,	PUNCT
bjmsr-2230	304	4	d.	d.	PROPN
bjmsr-2230	304	5	p.	p.	PROPN
bjmsr-2230	304	6	,	,	PUNCT
bjmsr-2230	304	7	&	&	CCONJ
bjmsr-2230	304	8	poliner	poliner	PROPN
bjmsr-2230	304	9	,	,	PUNCT
bjmsr-2230	304	10	g.	g.	PROPN
bjmsr-2230	304	11	e.	e.	PROPN
bjmsr-2230	304	12	(	(	PUNCT
bjmsr-2230	304	13	2007	2007	NUM
bjmsr-2230	304	14	,	,	PUNCT
bjmsr-2230	304	15	april	april	PROPN
bjmsr-2230	304	16	)	)	PUNCT
bjmsr-2230	304	17	.	.	PUNCT
bjmsr-2230	305	1	identifyingcover	identifyingcover	PROPN
bjmsr-2230	305	2	songs	song	NOUN
bjmsr-2230	305	3	'	'	PUNCT
bjmsr-2230	305	4	with	with	ADP
bjmsr-2230	305	5	chroma	chroma	NOUN
bjmsr-2230	305	6	features	feature	NOUN
bjmsr-2230	305	7	and	and	CCONJ
bjmsr-2230	305	8	dynamic	dynamic	ADJ
bjmsr-2230	305	9	programming	programming	NOUN
bjmsr-2230	305	10	beat	beat	NOUN
bjmsr-2230	305	11	tracking	tracking	NOUN
bjmsr-2230	305	12	.	.	PUNCT
bjmsr-2230	306	1	in	in	ADP
bjmsr-2230	306	2	2007	2007	NUM
bjmsr-2230	306	3	ieee	ieee	PROPN
bjmsr-2230	306	4	international	international	ADJ
bjmsr-2230	306	5	conference	conference	NOUN
bjmsr-2230	306	6	on	on	ADP
bjmsr-2230	306	7	acoustics	acoustic	NOUN
bjmsr-2230	306	8	,	,	PUNCT
bjmsr-2230	306	9	speech	speech	NOUN
bjmsr-2230	306	10	and	and	CCONJ
bjmsr-2230	306	11	signal	signal	VERB
bjmsr-2230	306	12	processing	processing	NOUN
bjmsr-2230	306	13	-	-	PUNCT
bjmsr-2230	306	14	icassp'07	icassp'07	PROPN
bjmsr-2230	306	15	(	(	PUNCT
bjmsr-2230	306	16	vol	vol	NOUN
bjmsr-2230	306	17	.	.	NOUN
bjmsr-2230	306	18	4	4	NUM
bjmsr-2230	306	19	,	,	PUNCT
bjmsr-2230	306	20	pp	pp	PROPN
bjmsr-2230	306	21	.	.	PUNCT
bjmsr-2230	306	22	iv-1429	iv-1429	PROPN
bjmsr-2230	306	23	)	)	PUNCT
bjmsr-2230	306	24	.	.	PUNCT
bjmsr-2230	307	1	ieee	ieee	PROPN
bjmsr-2230	307	2	.	.	PUNCT
bjmsr-2230	308	1	https://doi.org/10.1109/icassp.2007.367348	https://doi.org/10.1109/icassp.2007.367348	PROPN
bjmsr-2230	308	2	er	er	INTJ
bjmsr-2230	308	3	,	,	PUNCT
bjmsr-2230	308	4	m.	m.	PROPN
bjmsr-2230	308	5	b.	b.	PROPN
bjmsr-2230	308	6	,	,	PUNCT
bjmsr-2230	308	7	&	&	CCONJ
bjmsr-2230	308	8	esin	esin	PROPN
bjmsr-2230	308	9	,	,	PUNCT
bjmsr-2230	308	10	e.	e.	PROPN
bjmsr-2230	308	11	m.	m.	PROPN
bjmsr-2230	308	12	(	(	PUNCT
bjmsr-2230	308	13	2021	2021	NUM
bjmsr-2230	308	14	)	)	PUNCT
bjmsr-2230	308	15	.	.	PUNCT
bjmsr-2230	309	1	music	music	NOUN
bjmsr-2230	309	2	emotion	emotion	NOUN
bjmsr-2230	309	3	recognition	recognition	NOUN
bjmsr-2230	309	4	with	with	ADP
bjmsr-2230	309	5	machine	machine	NOUN
bjmsr-2230	309	6	learning	learning	NOUN
bjmsr-2230	309	7	based	base	VERB
bjmsr-2230	309	8	on	on	ADP
bjmsr-2230	309	9	audio	audio	ADJ
bjmsr-2230	309	10	features	feature	NOUN
bjmsr-2230	309	11	.	.	PUNCT
bjmsr-2230	310	1	computer	computer	NOUN
bjmsr-2230	310	2	science	science	NOUN
bjmsr-2230	310	3	,	,	PUNCT
bjmsr-2230	310	4	6(3	6(3	NUM
bjmsr-2230	310	5	)	)	PUNCT
bjmsr-2230	310	6	,	,	PUNCT
bjmsr-2230	310	7	133	133	NUM
bjmsr-2230	310	8	-	-	SYM
bjmsr-2230	310	9	144	144	NUM
bjmsr-2230	310	10	.	.	PUNCT
bjmsr-2230	311	1	https://doi.org/10.53070/bbd.945894	https://doi.org/10.53070/bbd.945894	PROPN
bjmsr-2230	311	2	farooq	farooq	PROPN
bjmsr-2230	311	3	,	,	PUNCT
bjmsr-2230	311	4	m.	m.	NOUN
bjmsr-2230	311	5	,	,	PUNCT
bjmsr-2230	311	6	hussain	hussain	PROPN
bjmsr-2230	311	7	,	,	PUNCT
bjmsr-2230	311	8	f.	f.	PROPN
bjmsr-2230	311	9	,	,	PUNCT
bjmsr-2230	311	10	baloch	baloch	PROPN
bjmsr-2230	311	11	,	,	PUNCT
bjmsr-2230	311	12	n.	n.	PROPN
bjmsr-2230	311	13	k.	k.	PROPN
bjmsr-2230	311	14	,	,	PUNCT
bjmsr-2230	311	15	raja	raja	PROPN
bjmsr-2230	311	16	,	,	PUNCT
bjmsr-2230	311	17	f.	f.	PROPN
bjmsr-2230	311	18	r.	r.	PROPN
bjmsr-2230	311	19	,	,	PUNCT
bjmsr-2230	311	20	yu	yu	PROPN
bjmsr-2230	311	21	,	,	PUNCT
bjmsr-2230	311	22	h.	h.	PROPN
bjmsr-2230	311	23	,	,	PUNCT
bjmsr-2230	311	24	&	&	CCONJ
bjmsr-2230	311	25	zikria	zikria	PROPN
bjmsr-2230	311	26	,	,	PUNCT
bjmsr-2230	311	27	y.	y.	PROPN
bjmsr-2230	311	28	b.	b.	PROPN
bjmsr-2230	311	29	(	(	PUNCT
bjmsr-2230	311	30	2020	2020	NUM
bjmsr-2230	311	31	)	)	PUNCT
bjmsr-2230	311	32	.	.	PUNCT
bjmsr-2230	312	1	impact	impact	NOUN
bjmsr-2230	312	2	of	of	ADP
bjmsr-2230	312	3	feature	feature	NOUN
bjmsr-2230	312	4	selection	selection	NOUN
bjmsr-2230	312	5	algorithm	algorithm	NOUN
bjmsr-2230	312	6	on	on	ADP
bjmsr-2230	312	7	speech	speech	NOUN
bjmsr-2230	312	8	emotion	emotion	NOUN
bjmsr-2230	312	9	recognition	recognition	NOUN
bjmsr-2230	312	10	using	use	VERB
bjmsr-2230	312	11	deep	deep	ADJ
bjmsr-2230	312	12	convolutional	convolutional	ADJ
bjmsr-2230	312	13	neural	neural	ADJ
bjmsr-2230	312	14	network	network	NOUN
bjmsr-2230	312	15	.	.	PUNCT
bjmsr-2230	313	1	sensors	sensor	NOUN
bjmsr-2230	313	2	,	,	PUNCT
bjmsr-2230	313	3	20(21	20(21	NUM
bjmsr-2230	313	4	)	)	PUNCT
bjmsr-2230	313	5	,	,	PUNCT
bjmsr-2230	313	6	6008	6008	NUM
bjmsr-2230	313	7	.	.	PUNCT
bjmsr-2230	314	1	https://doi.org/10.3390/s20216008	https://doi.org/10.3390/s20216008	NUM
bjmsr-2230	314	2	han	han	PROPN
bjmsr-2230	314	3	,	,	PUNCT
bjmsr-2230	314	4	x.	x.	PROPN
bjmsr-2230	314	5	,	,	PUNCT
bjmsr-2230	314	6	chen	chen	PROPN
bjmsr-2230	314	7	,	,	PUNCT
bjmsr-2230	314	8	f.	f.	PROPN
bjmsr-2230	314	9	,	,	PUNCT
bjmsr-2230	314	10	&	&	CCONJ
bjmsr-2230	314	11	ban	ban	PROPN
bjmsr-2230	314	12	,	,	PUNCT
bjmsr-2230	314	13	j.	j.	PROPN
bjmsr-2230	314	14	(	(	PUNCT
bjmsr-2230	314	15	2023	2023	NUM
bjmsr-2230	314	16	)	)	PUNCT
bjmsr-2230	314	17	.	.	PUNCT
bjmsr-2230	315	1	music	music	NOUN
bjmsr-2230	315	2	emotion	emotion	NOUN
bjmsr-2230	315	3	recognition	recognition	NOUN
bjmsr-2230	315	4	based	base	VERB
bjmsr-2230	315	5	on	on	ADP
bjmsr-2230	315	6	a	a	DET
bjmsr-2230	315	7	neural	neural	ADJ
bjmsr-2230	315	8	network	network	NOUN
bjmsr-2230	315	9	with	with	ADP
bjmsr-2230	315	10	an	an	DET
bjmsr-2230	315	11	inception	inception	NOUN
bjmsr-2230	315	12	-	-	PUNCT
bjmsr-2230	315	13	gru	gru	NOUN
bjmsr-2230	315	14	residual	residual	ADJ
bjmsr-2230	315	15	structure	structure	NOUN
bjmsr-2230	315	16	.	.	PUNCT
bjmsr-2230	316	1	electronics	electronic	NOUN
bjmsr-2230	316	2	,	,	PUNCT
bjmsr-2230	316	3	12(4	12(4	NUM
bjmsr-2230	316	4	)	)	PUNCT
bjmsr-2230	316	5	,	,	PUNCT
bjmsr-2230	316	6	978	978	NUM
bjmsr-2230	316	7	.	.	PUNCT
bjmsr-2230	317	1	https://doi.org/10.3390/electronics12040978	https://doi.org/10.3390/electronics12040978	PROPN
bjmsr-2230	317	2	he	he	PRON
bjmsr-2230	317	3	,	,	PUNCT
bjmsr-2230	317	4	n.	n.	NOUN
bjmsr-2230	317	5	,	,	PUNCT
bjmsr-2230	317	6	&	&	CCONJ
bjmsr-2230	317	7	ferguson	ferguson	PROPN
bjmsr-2230	317	8	,	,	PUNCT
bjmsr-2230	317	9	s.	s.	PROPN
bjmsr-2230	317	10	(	(	PUNCT
bjmsr-2230	317	11	2022	2022	NUM
bjmsr-2230	317	12	)	)	PUNCT
bjmsr-2230	317	13	.	.	PUNCT
bjmsr-2230	318	1	music	music	NOUN
bjmsr-2230	318	2	emotion	emotion	NOUN
bjmsr-2230	318	3	recognition	recognition	NOUN
bjmsr-2230	318	4	based	base	VERB
bjmsr-2230	318	5	on	on	ADP
bjmsr-2230	318	6	segment	segment	NOUN
bjmsr-2230	318	7	-	-	PUNCT
bjmsr-2230	318	8	level	level	NOUN
bjmsr-2230	318	9	two	two	NUM
bjmsr-2230	318	10	-	-	PUNCT
bjmsr-2230	318	11	stage	stage	NOUN
bjmsr-2230	318	12	learning	learning	NOUN
bjmsr-2230	318	13	.	.	PUNCT
bjmsr-2230	319	1	international	international	ADJ
bjmsr-2230	319	2	journal	journal	PROPN
bjmsr-2230	319	3	of	of	ADP
bjmsr-2230	319	4	multimedia	multimedia	PROPN
bjmsr-2230	319	5	information	information	NOUN
bjmsr-2230	319	6	retrieval	retrieval	NOUN
bjmsr-2230	319	7	,	,	PUNCT
bjmsr-2230	319	8	11(3	11(3	NUM
bjmsr-2230	319	9	)	)	PUNCT
bjmsr-2230	319	10	,	,	PUNCT
bjmsr-2230	319	11	383–394	383–394	NUM
bjmsr-2230	319	12	.	.	PUNCT
bjmsr-2230	320	1	https://doi.org/10.1007/s13735-022-00230-z	https://doi.org/10.1007/s13735-022-00230-z	PROPN
bjmsr-2230	320	2	hizlisoy	hizlisoy	NOUN
bjmsr-2230	320	3	,	,	PUNCT
bjmsr-2230	320	4	s.	s.	PROPN
bjmsr-2230	320	5	,	,	PUNCT
bjmsr-2230	320	6	yildirim	yildirim	PROPN
bjmsr-2230	320	7	,	,	PUNCT
bjmsr-2230	320	8	s.	s.	PROPN
bjmsr-2230	320	9	,	,	PUNCT
bjmsr-2230	320	10	&	&	CCONJ
bjmsr-2230	320	11	tufekci	tufekci	PROPN
bjmsr-2230	320	12	,	,	PUNCT
bjmsr-2230	320	13	z.	z.	PROPN
bjmsr-2230	320	14	(	(	PUNCT
bjmsr-2230	320	15	2021	2021	NUM
bjmsr-2230	320	16	)	)	PUNCT
bjmsr-2230	320	17	.	.	PUNCT
bjmsr-2230	321	1	music	music	NOUN
bjmsr-2230	321	2	emotion	emotion	NOUN
bjmsr-2230	321	3	recognition	recognition	NOUN
bjmsr-2230	321	4	using	use	VERB
bjmsr-2230	321	5	convolutional	convolutional	ADJ
bjmsr-2230	321	6	long	long	ADJ
bjmsr-2230	321	7	short	short	ADJ
bjmsr-2230	321	8	term	term	NOUN
bjmsr-2230	321	9	memory	memory	NOUN
bjmsr-2230	321	10	deep	deep	ADJ
bjmsr-2230	321	11	neural	neural	ADJ
bjmsr-2230	321	12	networks	network	NOUN
bjmsr-2230	321	13	.	.	PUNCT
bjmsr-2230	322	1	engineering	engineering	NOUN
bjmsr-2230	322	2	science	science	NOUN
bjmsr-2230	322	3	and	and	CCONJ
bjmsr-2230	322	4	technology	technology	NOUN
bjmsr-2230	322	5	,	,	PUNCT
bjmsr-2230	322	6	an	an	DET
bjmsr-2230	322	7	international	international	ADJ
bjmsr-2230	322	8	journal	journal	NOUN
bjmsr-2230	322	9	,	,	PUNCT
bjmsr-2230	322	10	24(3	24(3	NUM
bjmsr-2230	322	11	)	)	PUNCT
bjmsr-2230	322	12	,	,	PUNCT
bjmsr-2230	322	13	760–767	760–767	NUM
bjmsr-2230	322	14	.	.	PUNCT
bjmsr-2230	323	1	https://doi.org/10.1016/j.jestch.2020.10.009	https://doi.org/10.1016/j.jestch.2020.10.009	PROPN
bjmsr-2230	323	2	iversen	iversen	PROPN
bjmsr-2230	323	3	,	,	PUNCT
bjmsr-2230	323	4	a.	a.	PROPN
bjmsr-2230	323	5	,	,	PUNCT
bjmsr-2230	323	6	taylor	taylor	PROPN
bjmsr-2230	323	7	,	,	PUNCT
bjmsr-2230	323	8	n.	n.	NOUN
bjmsr-2230	323	9	,	,	PUNCT
bjmsr-2230	323	10	&	&	CCONJ
bjmsr-2230	323	11	brown	brown	PROPN
bjmsr-2230	323	12	,	,	PUNCT
bjmsr-2230	323	13	k.	k.	PROPN
bjmsr-2230	323	14	(	(	PUNCT
bjmsr-2230	323	15	2006	2006	NUM
bjmsr-2230	323	16	)	)	PUNCT
bjmsr-2230	323	17	.	.	PUNCT
bjmsr-2230	324	1	classification	classification	NOUN
bjmsr-2230	324	2	and	and	CCONJ
bjmsr-2230	324	3	verification	verification	NOUN
bjmsr-2230	324	4	through	through	ADP
bjmsr-2230	324	5	the	the	DET
bjmsr-2230	324	6	combination	combination	NOUN
bjmsr-2230	324	7	of	of	ADP
bjmsr-2230	324	8	the	the	DET
bjmsr-2230	324	9	multi	multi	ADJ
bjmsr-2230	324	10	-	-	ADJ
bjmsr-2230	324	11	layer	layer	ADJ
bjmsr-2230	324	12	perceptron	perceptron	NOUN
bjmsr-2230	324	13	and	and	CCONJ
bjmsr-2230	324	14	auto	auto	NOUN
bjmsr-2230	324	15	-	-	PUNCT
bjmsr-2230	324	16	association	association	NOUN
bjmsr-2230	324	17	neural	neural	ADJ
bjmsr-2230	324	18	networks	network	NOUN
bjmsr-2230	324	19	.	.	PUNCT
bjmsr-2230	325	1	proceedings	proceeding	NOUN
bjmsr-2230	325	2	.	.	PUNCT
bjmsr-2230	326	1	2005	2005	NUM
bjmsr-2230	326	2	ieee	ieee	PROPN
bjmsr-2230	326	3	international	international	ADJ
bjmsr-2230	326	4	joint	joint	ADJ
bjmsr-2230	326	5	conference	conference	NOUN
bjmsr-2230	326	6	on	on	ADP
bjmsr-2230	326	7	neural	neural	ADJ
bjmsr-2230	326	8	networks	network	NOUN
bjmsr-2230	326	9	,	,	PUNCT
bjmsr-2230	326	10	2005	2005	NUM
bjmsr-2230	326	11	.	.	PUNCT
bjmsr-2230	327	1	https://doi.org/10.1109/ijcnn.2005.1556018	https://doi.org/10.1109/ijcnn.2005.1556018	PROPN
bjmsr-2230	327	2	jamdar	jamdar	NOUN
bjmsr-2230	327	3	,	,	PUNCT
bjmsr-2230	327	4	a.	a.	PROPN
bjmsr-2230	327	5	,	,	PUNCT
bjmsr-2230	327	6	abraham	abraham	PROPN
bjmsr-2230	327	7	,	,	PUNCT
bjmsr-2230	327	8	j.	j.	PROPN
bjmsr-2230	327	9	,	,	PUNCT
bjmsr-2230	327	10	khanna	khanna	PROPN
bjmsr-2230	327	11	,	,	PUNCT
bjmsr-2230	327	12	k.	k.	PROPN
bjmsr-2230	327	13	,	,	PUNCT
bjmsr-2230	327	14	&	&	CCONJ
bjmsr-2230	327	15	dubey	dubey	PROPN
bjmsr-2230	327	16	,	,	PUNCT
bjmsr-2230	327	17	r.	r.	PROPN
bjmsr-2230	327	18	(	(	PUNCT
bjmsr-2230	327	19	2015	2015	NUM
bjmsr-2230	327	20	)	)	PUNCT
bjmsr-2230	327	21	.	.	PUNCT
bjmsr-2230	328	1	emotion	emotion	NOUN
bjmsr-2230	328	2	analysis	analysis	NOUN
bjmsr-2230	328	3	of	of	ADP
bjmsr-2230	328	4	songs	song	NOUN
bjmsr-2230	328	5	based	base	VERB
bjmsr-2230	328	6	on	on	ADP
bjmsr-2230	328	7	lyrical	lyrical	ADJ
bjmsr-2230	328	8	and	and	CCONJ
bjmsr-2230	328	9	audio	audio	NOUN
bjmsr-2230	328	10	features	feature	NOUN
bjmsr-2230	328	11	.	.	PUNCT
bjmsr-2230	329	1	international	international	ADJ
bjmsr-2230	329	2	journal	journal	NOUN
bjmsr-2230	329	3	of	of	ADP
bjmsr-2230	329	4	artificial	artificial	ADJ
bjmsr-2230	329	5	intelligence	intelligence	NOUN
bjmsr-2230	329	6	and	and	CCONJ
bjmsr-2230	329	7	applications	application	NOUN
bjmsr-2230	329	8	,	,	PUNCT
bjmsr-2230	329	9	6(3	6(3	NUM
bjmsr-2230	329	10	)	)	PUNCT
bjmsr-2230	329	11	,	,	PUNCT
bjmsr-2230	329	12	35–50	35–50	NUM
bjmsr-2230	329	13	.	.	PUNCT
bjmsr-2230	330	1	https://doi.org/10.5121/ijaia.2015.6304	https://doi.org/10.5121/ijaia.2015.6304	PROPN
bjmsr-2230	330	2	jitendra	jitendra	PROPN
bjmsr-2230	330	3	,	,	PUNCT
bjmsr-2230	330	4	m.	m.	NOUN
bjmsr-2230	330	5	,	,	PUNCT
bjmsr-2230	330	6	&	&	CCONJ
bjmsr-2230	330	7	radhika	radhika	PROPN
bjmsr-2230	330	8	,	,	PUNCT
bjmsr-2230	330	9	y.	y.	PROPN
bjmsr-2230	330	10	(	(	PUNCT
bjmsr-2230	330	11	2021	2021	NUM
bjmsr-2230	330	12	)	)	PUNCT
bjmsr-2230	330	13	.	.	PUNCT
bjmsr-2230	331	1	an	an	DET
bjmsr-2230	331	2	automated	automate	VERB
bjmsr-2230	331	3	music	music	NOUN
bjmsr-2230	331	4	recommendation	recommendation	NOUN
bjmsr-2230	331	5	system	system	NOUN
bjmsr-2230	331	6	based	base	VERB
bjmsr-2230	331	7	on	on	ADP
bjmsr-2230	331	8	listener	listener	NOUN
bjmsr-2230	331	9	preferences	preference	NOUN
bjmsr-2230	331	10	.	.	PUNCT
bjmsr-2230	332	1	in	in	ADP
bjmsr-2230	332	2	recent	recent	ADJ
bjmsr-2230	332	3	trends	trend	NOUN
bjmsr-2230	332	4	in	in	ADP
bjmsr-2230	332	5	intensive	intensive	ADJ
bjmsr-2230	332	6	computing	computing	NOUN
bjmsr-2230	332	7	(	(	PUNCT
bjmsr-2230	332	8	pp	pp	ADJ
bjmsr-2230	332	9	.	.	PUNCT
bjmsr-2230	332	10	80	80	NUM
bjmsr-2230	332	11	-	-	SYM
bjmsr-2230	332	12	87	87	NUM
bjmsr-2230	332	13	)	)	PUNCT
bjmsr-2230	332	14	.	.	PUNCT
bjmsr-2230	333	1	ios	ios	PROPN
bjmsr-2230	333	2	press	press	NOUN
bjmsr-2230	333	3	.	.	PUNCT
bjmsr-2230	334	1	https://doi.org/10.3233/apc210182	https://doi.org/10.3233/apc210182	PROPN
bjmsr-2230	334	2	kaya	kaya	PROPN
bjmsr-2230	334	3	,	,	PUNCT
bjmsr-2230	334	4	e.	e.	PROPN
bjmsr-2230	334	5	m.	m.	PROPN
bjmsr-2230	334	6	,	,	PUNCT
bjmsr-2230	334	7	huang	huang	PROPN
bjmsr-2230	334	8	,	,	PUNCT
bjmsr-2230	334	9	n.	n.	PROPN
bjmsr-2230	334	10	,	,	PUNCT
bjmsr-2230	334	11	&	&	CCONJ
bjmsr-2230	334	12	elhilali	elhilali	PROPN
bjmsr-2230	334	13	,	,	PUNCT
bjmsr-2230	334	14	m.	m.	NOUN
bjmsr-2230	334	15	(	(	PUNCT
bjmsr-2230	334	16	2020	2020	NUM
bjmsr-2230	334	17	)	)	PUNCT
bjmsr-2230	334	18	.	.	PUNCT
bjmsr-2230	335	1	pitch	pitch	NOUN
bjmsr-2230	335	2	,	,	PUNCT
bjmsr-2230	335	3	timbre	timbre	NOUN
bjmsr-2230	335	4	and	and	CCONJ
bjmsr-2230	335	5	intensity	intensity	NOUN
bjmsr-2230	335	6	interdependently	interdependently	ADV
bjmsr-2230	335	7	modulate	modulate	VERB
bjmsr-2230	335	8	neural	neural	ADJ
bjmsr-2230	335	9	responses	response	NOUN
bjmsr-2230	335	10	to	to	ADP
bjmsr-2230	335	11	salient	salient	NOUN
bjmsr-2230	335	12	sounds	sound	NOUN
bjmsr-2230	335	13	.	.	PUNCT
bjmsr-2230	336	1	neuroscience	neuroscience	NOUN
bjmsr-2230	336	2	,	,	PUNCT
bjmsr-2230	336	3	440	440	NUM
bjmsr-2230	336	4	,	,	PUNCT
bjmsr-2230	336	5	1–14	1–14	PROPN
bjmsr-2230	336	6	.	.	PROPN
bjmsr-2230	337	1	https://doi.org/10.1016/j.neuroscience.2020.05.018	https://doi.org/10.1016/j.neuroscience.2020.05.018	PROPN
bjmsr-2230	337	2	kim	kim	PROPN
bjmsr-2230	337	3	,	,	PUNCT
bjmsr-2230	337	4	y.	y.	PROPN
bjmsr-2230	337	5	,	,	PUNCT
bjmsr-2230	337	6	lee	lee	PROPN
bjmsr-2230	337	7	,	,	PUNCT
bjmsr-2230	337	8	h.	h.	PROPN
bjmsr-2230	337	9	,	,	PUNCT
bjmsr-2230	337	10	&	&	CCONJ
bjmsr-2230	337	11	provost	provost	PROPN
bjmsr-2230	337	12	,	,	PUNCT
bjmsr-2230	338	1	e.	e.	PROPN
bjmsr-2230	338	2	m.	m.	PROPN
bjmsr-2230	338	3	(	(	PUNCT
bjmsr-2230	338	4	2013	2013	NUM
bjmsr-2230	338	5	,	,	PUNCT
bjmsr-2230	338	6	may	may	AUX
bjmsr-2230	338	7	)	)	PUNCT
bjmsr-2230	338	8	.	.	PUNCT
bjmsr-2230	339	1	deep	deep	ADJ
bjmsr-2230	339	2	learning	learning	NOUN
bjmsr-2230	339	3	for	for	ADP
bjmsr-2230	339	4	robust	robust	ADJ
bjmsr-2230	339	5	feature	feature	NOUN
bjmsr-2230	339	6	generation	generation	NOUN
bjmsr-2230	339	7	in	in	ADP
bjmsr-2230	339	8	audiovisual	audiovisual	ADJ
bjmsr-2230	339	9	emotion	emotion	NOUN
bjmsr-2230	339	10	recognition	recognition	NOUN
bjmsr-2230	339	11	.	.	PUNCT
bjmsr-2230	340	1	in	in	ADP
bjmsr-2230	340	2	2013	2013	NUM
bjmsr-2230	340	3	ieee	ieee	NOUN
bjmsr-2230	340	4	international	international	ADJ
bjmsr-2230	340	5	conference	conference	NOUN
bjmsr-2230	340	6	on	on	ADP
bjmsr-2230	340	7	acoustics	acoustic	NOUN
bjmsr-2230	340	8	,	,	PUNCT
bjmsr-2230	340	9	speech	speech	NOUN
bjmsr-2230	340	10	and	and	CCONJ
bjmsr-2230	340	11	signal	signal	NOUN
bjmsr-2230	340	12	processing	processing	NOUN
bjmsr-2230	340	13	(	(	PUNCT
bjmsr-2230	340	14	pp	pp	ADJ
bjmsr-2230	340	15	.	.	PUNCT
bjmsr-2230	341	1	3687	3687	NUM
bjmsr-2230	341	2	-	-	SYM
bjmsr-2230	341	3	3691	3691	NUM
bjmsr-2230	341	4	)	)	PUNCT
bjmsr-2230	341	5	.	.	PUNCT
bjmsr-2230	342	1	ieee	ieee	NOUN
bjmsr-2230	342	2	.	.	PUNCT
bjmsr-2230	343	1	https://doi.org/10.1109/icassp.2013.6638346	https://doi.org/10.1109/icassp.2013.6638346	PROPN
bjmsr-2230	343	2	liu	liu	PROPN
bjmsr-2230	343	3	,	,	PUNCT
bjmsr-2230	343	4	h.	h.	PROPN
bjmsr-2230	343	5	,	,	PUNCT
bjmsr-2230	343	6	mi	mi	PROPN
bjmsr-2230	343	7	,	,	PUNCT
bjmsr-2230	343	8	x.	x.	PROPN
bjmsr-2230	343	9	w.	w.	PROPN
bjmsr-2230	343	10	,	,	PUNCT
bjmsr-2230	343	11	&	&	CCONJ
bjmsr-2230	343	12	li	li	PROPN
bjmsr-2230	343	13	,	,	PUNCT
bjmsr-2230	343	14	y.	y.	PROPN
bjmsr-2230	343	15	f.	f.	PROPN
bjmsr-2230	343	16	(	(	PUNCT
bjmsr-2230	343	17	2018	2018	NUM
bjmsr-2230	343	18	)	)	PUNCT
bjmsr-2230	343	19	.	.	PUNCT
bjmsr-2230	344	1	wind	wind	NOUN
bjmsr-2230	344	2	speed	speed	NOUN
bjmsr-2230	344	3	forecasting	forecasting	NOUN
bjmsr-2230	344	4	method	method	NOUN
bjmsr-2230	344	5	based	base	VERB
bjmsr-2230	344	6	on	on	ADP
bjmsr-2230	344	7	deep	deep	ADJ
bjmsr-2230	344	8	learning	learning	NOUN
bjmsr-2230	344	9	strategy	strategy	NOUN
bjmsr-2230	344	10	using	use	VERB
bjmsr-2230	344	11	empirical	empirical	ADJ
bjmsr-2230	344	12	wavelet	wavelet	NOUN
bjmsr-2230	344	13	transform	transform	NOUN
bjmsr-2230	344	14	,	,	PUNCT
bjmsr-2230	344	15	long	long	ADJ
bjmsr-2230	344	16	short	short	ADJ
bjmsr-2230	344	17	term	term	NOUN
bjmsr-2230	344	18	memory	memory	NOUN
bjmsr-2230	344	19	neural	neural	ADJ
bjmsr-2230	344	20	network	network	NOUN
bjmsr-2230	344	21	and	and	CCONJ
bjmsr-2230	344	22	elman	elman	PROPN
bjmsr-2230	344	23	neural	neural	ADJ
bjmsr-2230	344	24	network	network	NOUN
bjmsr-2230	344	25	.	.	PUNCT
bjmsr-2230	345	1	energy	energy	NOUN
bjmsr-2230	345	2	conversion	conversion	NOUN
bjmsr-2230	345	3	and	and	CCONJ
bjmsr-2230	345	4	management	management	NOUN
bjmsr-2230	345	5	,	,	PUNCT
bjmsr-2230	345	6	156	156	NUM
bjmsr-2230	345	7	,	,	PUNCT
bjmsr-2230	345	8	498–514	498–514	NUM
bjmsr-2230	345	9	.	.	PUNCT
bjmsr-2230	346	1	https://doi.org/10.1016/j.enconman.2017.11.053	https://doi.org/10.1016/j.enconman.2017.11.053	PROPN
bjmsr-2230	346	2	liu	liu	PROPN
bjmsr-2230	346	3	,	,	PUNCT
bjmsr-2230	346	4	x.	x.	PROPN
bjmsr-2230	346	5	,	,	PUNCT
bjmsr-2230	346	6	chen	chen	PROPN
bjmsr-2230	346	7	,	,	PUNCT
bjmsr-2230	346	8	q.	q.	PROPN
bjmsr-2230	346	9	,	,	PUNCT
bjmsr-2230	346	10	wu	wu	PROPN
bjmsr-2230	346	11	,	,	PUNCT
bjmsr-2230	346	12	x.	x.	PROPN
bjmsr-2230	346	13	,	,	PUNCT
bjmsr-2230	346	14	liu	liu	PROPN
bjmsr-2230	346	15	,	,	PUNCT
bjmsr-2230	346	16	y.	y.	PROPN
bjmsr-2230	346	17	,	,	PUNCT
bjmsr-2230	346	18	&	&	CCONJ
bjmsr-2230	346	19	yang	yang	PROPN
bjmsr-2230	346	20	,	,	PUNCT
bjmsr-2230	346	21	l.	l.	PROPN
bjmsr-2230	346	22	(	(	PUNCT
bjmsr-2230	346	23	2017	2017	NUM
bjmsr-2230	346	24	)	)	PUNCT
bjmsr-2230	346	25	.	.	PUNCT
bjmsr-2230	347	1	cnn	cnn	PROPN
bjmsr-2230	347	2	based	base	VERB
bjmsr-2230	347	3	music	music	NOUN
bjmsr-2230	347	4	emotion	emotion	NOUN
bjmsr-2230	347	5	classification	classification	NOUN
bjmsr-2230	347	6	.	.	PUNCT
bjmsr-2230	348	1	arxiv	arxiv	PROPN
bjmsr-2230	348	2	(	(	PUNCT
bjmsr-2230	348	3	cornell	cornell	PROPN
bjmsr-2230	348	4	university	university	PROPN
bjmsr-2230	348	5	)	)	PUNCT
bjmsr-2230	348	6	.	.	PUNCT
bjmsr-2230	349	1	https://doi.org/10.48550/arxiv.1704.05665	https://doi.org/10.48550/arxiv.1704.05665	NOUN
bjmsr-2230	349	2	livingstone	livingstone	PROPN
bjmsr-2230	349	3	,	,	PUNCT
bjmsr-2230	349	4	s.	s.	PROPN
bjmsr-2230	349	5	r.	r.	PROPN
bjmsr-2230	349	6	,	,	PUNCT
bjmsr-2230	349	7	&	&	CCONJ
bjmsr-2230	349	8	russo	russo	PROPN
bjmsr-2230	349	9	,	,	PUNCT
bjmsr-2230	349	10	f.	f.	PROPN
bjmsr-2230	349	11	a.	a.	PROPN
bjmsr-2230	349	12	(	(	PUNCT
bjmsr-2230	349	13	2018	2018	NUM
bjmsr-2230	349	14	)	)	PUNCT
bjmsr-2230	349	15	.	.	PUNCT
bjmsr-2230	350	1	the	the	DET
bjmsr-2230	350	2	ryerson	ryerson	NOUN
bjmsr-2230	350	3	audio	audio	ADJ
bjmsr-2230	350	4	-	-	ADJ
bjmsr-2230	350	5	visual	visual	ADJ
bjmsr-2230	350	6	database	database	NOUN
bjmsr-2230	350	7	of	of	ADP
bjmsr-2230	350	8	emotional	emotional	ADJ
bjmsr-2230	350	9	speech	speech	NOUN
bjmsr-2230	350	10	and	and	CCONJ
bjmsr-2230	350	11	song	song	NOUN
bjmsr-2230	350	12	(	(	PUNCT
bjmsr-2230	350	13	ravdess	ravdess	NOUN
bjmsr-2230	350	14	):	):	PUNCT
bjmsr-2230	350	15	a	a	DET
bjmsr-2230	350	16	dynamic	dynamic	ADJ
bjmsr-2230	350	17	,	,	PUNCT
bjmsr-2230	350	18	multimodal	multimodal	ADJ
bjmsr-2230	350	19	set	set	NOUN
bjmsr-2230	350	20	of	of	ADP
bjmsr-2230	350	21	facial	facial	ADJ
bjmsr-2230	350	22	and	and	CCONJ
bjmsr-2230	350	23	vocal	vocal	ADJ
bjmsr-2230	350	24	expressions	expression	NOUN
bjmsr-2230	350	25	in	in	ADP
bjmsr-2230	350	26	north	north	PROPN
bjmsr-2230	350	27	american	american	PROPN
bjmsr-2230	350	28	english	english	PROPN
bjmsr-2230	350	29	.	.	PUNCT
bjmsr-2230	351	1	plos	plos	PROPN
bjmsr-2230	351	2	one	one	NUM
bjmsr-2230	351	3	,	,	PUNCT
bjmsr-2230	351	4	13(5	13(5	NUM
bjmsr-2230	351	5	)	)	PUNCT
bjmsr-2230	351	6	,	,	PUNCT
bjmsr-2230	351	7	e0196391	e0196391	PROPN
bjmsr-2230	351	8	.	.	PUNCT
bjmsr-2230	352	1	https://doi.org/10.1371/journal.pone.0196391	https://doi.org/10.1371/journal.pone.0196391	PROPN
bjmsr-2230	352	2	masood	masood	PROPN
bjmsr-2230	352	3	,	,	PUNCT
bjmsr-2230	352	4	s.	s.	PROPN
bjmsr-2230	352	5	,	,	PUNCT
bjmsr-2230	352	6	nayal	nayal	PROPN
bjmsr-2230	352	7	,	,	PUNCT
bjmsr-2230	352	8	j.	j.	PROPN
bjmsr-2230	352	9	s.	s.	PROPN
bjmsr-2230	352	10	,	,	PUNCT
bjmsr-2230	352	11	&	&	CCONJ
bjmsr-2230	352	12	jain	jain	PROPN
bjmsr-2230	352	13	,	,	PUNCT
bjmsr-2230	352	14	r.	r.	PROPN
bjmsr-2230	352	15	k.	k.	PROPN
bjmsr-2230	353	1	(	(	PUNCT
bjmsr-2230	353	2	2016	2016	NUM
bjmsr-2230	353	3	,	,	PUNCT
bjmsr-2230	353	4	july	july	PROPN
bjmsr-2230	353	5	)	)	PUNCT
bjmsr-2230	353	6	.	.	PUNCT
bjmsr-2230	354	1	singer	singer	NOUN
bjmsr-2230	354	2	identification	identification	NOUN
bjmsr-2230	354	3	in	in	ADP
bjmsr-2230	354	4	indian	indian	ADJ
bjmsr-2230	354	5	hindi	hindi	NOUN
bjmsr-2230	354	6	songs	song	NOUN
bjmsr-2230	354	7	using	use	VERB
bjmsr-2230	354	8	mfcc	mfcc	NOUN
bjmsr-2230	354	9	and	and	CCONJ
bjmsr-2230	354	10	spectral	spectral	ADJ
bjmsr-2230	354	11	features	feature	NOUN
bjmsr-2230	354	12	.	.	PUNCT
bjmsr-2230	355	1	in	in	ADP
bjmsr-2230	355	2	2016	2016	NUM
bjmsr-2230	355	3	ieee	ieee	NOUN
bjmsr-2230	355	4	1st	1st	PROPN
bjmsr-2230	355	5	international	international	ADJ
bjmsr-2230	355	6	conference	conference	NOUN
bjmsr-2230	355	7	on	on	ADP
bjmsr-2230	355	8	power	power	NOUN
bjmsr-2230	355	9	electronics	electronic	NOUN
bjmsr-2230	355	10	,	,	PUNCT
bjmsr-2230	355	11	intelligent	intelligent	ADJ
bjmsr-2230	355	12	control	control	NOUN
bjmsr-2230	355	13	and	and	CCONJ
bjmsr-2230	355	14	energy	energy	NOUN
bjmsr-2230	355	15	systems	system	NOUN
bjmsr-2230	355	16	(	(	PUNCT
bjmsr-2230	355	17	icpeices	icpeice	NOUN
bjmsr-2230	355	18	)	)	PUNCT
bjmsr-2230	355	19	(	(	PUNCT
bjmsr-2230	355	20	pp	pp	X
bjmsr-2230	355	21	.	.	PUNCT
bjmsr-2230	356	1	1	1	NUM
bjmsr-2230	356	2	-	-	SYM
bjmsr-2230	356	3	5	5	NUM
bjmsr-2230	356	4	)	)	PUNCT
bjmsr-2230	356	5	.	.	PUNCT
bjmsr-2230	357	1	ieee	ieee	PROPN
bjmsr-2230	357	2	.	.	PUNCT
bjmsr-2230	358	1	https://doi.org/10.1109/icpeices.2016.7853641	https://doi.org/10.1109/icpeices.2016.7853641	PROPN
bjmsr-2230	358	2	modran	modran	VERB
bjmsr-2230	358	3	,	,	PUNCT
bjmsr-2230	358	4	h.	h.	PROPN
bjmsr-2230	358	5	a.	a.	PROPN
bjmsr-2230	358	6	,	,	PUNCT
bjmsr-2230	358	7	chamunorwa	chamunorwa	NOUN
bjmsr-2230	358	8	,	,	PUNCT
bjmsr-2230	358	9	t.	t.	PROPN
bjmsr-2230	358	10	,	,	PUNCT
bjmsr-2230	358	11	ursuțiu	ursuțiu	PROPN
bjmsr-2230	358	12	,	,	PUNCT
bjmsr-2230	358	13	d.	d.	PROPN
bjmsr-2230	358	14	,	,	PUNCT
bjmsr-2230	358	15	samoilă	samoilă	PROPN
bjmsr-2230	358	16	,	,	PUNCT
bjmsr-2230	358	17	c.	c.	PROPN
bjmsr-2230	358	18	,	,	PUNCT
bjmsr-2230	358	19	&	&	CCONJ
bjmsr-2230	358	20	hedeșiu	hedeșiu	PROPN
bjmsr-2230	358	21	,	,	PUNCT
bjmsr-2230	358	22	h.	h.	PROPN
bjmsr-2230	358	23	(	(	PUNCT
bjmsr-2230	358	24	2023	2023	NUM
bjmsr-2230	358	25	)	)	PUNCT
bjmsr-2230	358	26	.	.	PUNCT
bjmsr-2230	359	1	using	use	VERB
bjmsr-2230	359	2	deep	deep	ADJ
bjmsr-2230	359	3	learning	learning	NOUN
bjmsr-2230	359	4	to	to	PART
bjmsr-2230	359	5	recognize	recognize	VERB
bjmsr-2230	359	6	therapeutic	therapeutic	ADJ
bjmsr-2230	359	7	effects	effect	NOUN
bjmsr-2230	359	8	of	of	ADP
bjmsr-2230	359	9	music	music	NOUN
bjmsr-2230	359	10	based	base	VERB
bjmsr-2230	359	11	on	on	ADP
bjmsr-2230	359	12	emotions	emotion	NOUN
bjmsr-2230	359	13	.	.	PUNCT
bjmsr-2230	360	1	sensors	sensor	NOUN
bjmsr-2230	360	2	,	,	PUNCT
bjmsr-2230	360	3	23(2	23(2	NOUN
bjmsr-2230	360	4	)	)	PUNCT
bjmsr-2230	360	5	,	,	PUNCT
bjmsr-2230	360	6	986	986	NUM
bjmsr-2230	360	7	.	.	PUNCT
bjmsr-2230	361	1	https://doi.org/10.3390/s23020986	https://doi.org/10.3390/s23020986	ADJ
bjmsr-2230	361	2	https://doi.org/10.5121/ijaia.2015.6304	https://doi.org/10.5121/ijaia.2015.6304	PROPN
bjmsr-2230	361	3	https://doi.org/10.1109/icpeices.2016.7853641	https://doi.org/10.1109/icpeices.2016.7853641	PROPN
bjmsr-2230	361	4	https://doi.org/10.3390/s23020986	https://doi.org/10.3390/s23020986	PROPN
bjmsr-2230	361	5	dutta	dutta	PROPN
bjmsr-2230	361	6	&	&	CCONJ
bjmsr-2230	361	7	chanda	chanda	PROPN
bjmsr-2230	361	8	,	,	PUNCT
bjmsr-2230	361	9	bangladesh	bangladesh	PROPN
bjmsr-2230	361	10	journal	journal	NOUN
bjmsr-2230	361	11	of	of	ADP
bjmsr-2230	361	12	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	361	13	scientific	scientific	ADJ
bjmsr-2230	361	14	research	research	NOUN
bjmsr-2230	361	15	9(3	9(3	NUM
bjmsr-2230	361	16	)	)	PUNCT
bjmsr-2230	361	17	(	(	PUNCT
bjmsr-2230	361	18	2024	2024	NUM
bjmsr-2230	361	19	)	)	PUNCT
bjmsr-2230	361	20	,	,	PUNCT
bjmsr-2230	361	21	21	21	NUM
bjmsr-2230	361	22	-	-	SYM
bjmsr-2230	361	23	32	32	NUM
bjmsr-2230	361	24	32	32	NUM
bjmsr-2230	361	25	murthy	murthy	ADJ
bjmsr-2230	361	26	,	,	PUNCT
bjmsr-2230	361	27	y.	y.	PROPN
bjmsr-2230	361	28	v.	v.	PROPN
bjmsr-2230	361	29	,	,	PUNCT
bjmsr-2230	361	30	jeshventh	jeshventh	NOUN
bjmsr-2230	361	31	,	,	PUNCT
bjmsr-2230	361	32	t.	t.	PROPN
bjmsr-2230	361	33	k.	k.	PROPN
bjmsr-2230	361	34	r.	r.	PROPN
bjmsr-2230	361	35	,	,	PUNCT
bjmsr-2230	361	36	zoeb	zoeb	PROPN
bjmsr-2230	361	37	,	,	PUNCT
bjmsr-2230	361	38	m.	m.	NOUN
bjmsr-2230	361	39	,	,	PUNCT
bjmsr-2230	361	40	saumyadip	saumyadip	NOUN
bjmsr-2230	361	41	,	,	PUNCT
bjmsr-2230	361	42	m.	m.	NOUN
bjmsr-2230	361	43	,	,	PUNCT
bjmsr-2230	361	44	&	&	CCONJ
bjmsr-2230	361	45	shashidhar	shashidhar	PROPN
bjmsr-2230	361	46	,	,	PUNCT
bjmsr-2230	361	47	g.	g.	PROPN
bjmsr-2230	361	48	k.	k.	PROPN
bjmsr-2230	361	49	(	(	PUNCT
bjmsr-2230	361	50	2018	2018	NUM
bjmsr-2230	361	51	,	,	PUNCT
bjmsr-2230	361	52	august	august	PROPN
bjmsr-2230	361	53	)	)	PUNCT
bjmsr-2230	361	54	.	.	PUNCT
bjmsr-2230	362	1	singer	singer	NOUN
bjmsr-2230	362	2	identification	identification	NOUN
bjmsr-2230	362	3	from	from	ADP
bjmsr-2230	362	4	smaller	small	ADJ
bjmsr-2230	362	5	snippets	snippet	NOUN
bjmsr-2230	362	6	of	of	ADP
bjmsr-2230	362	7	audio	audio	ADJ
bjmsr-2230	362	8	clips	clip	NOUN
bjmsr-2230	362	9	using	use	VERB
bjmsr-2230	362	10	acoustic	acoustic	ADJ
bjmsr-2230	362	11	features	feature	NOUN
bjmsr-2230	362	12	and	and	CCONJ
bjmsr-2230	362	13	dnns	dnn	NOUN
bjmsr-2230	362	14	.	.	PUNCT
bjmsr-2230	363	1	in	in	ADP
bjmsr-2230	363	2	2018	2018	NUM
bjmsr-2230	363	3	eleventh	eleventh	ADJ
bjmsr-2230	363	4	international	international	ADJ
bjmsr-2230	363	5	conference	conference	NOUN
bjmsr-2230	363	6	on	on	ADP
bjmsr-2230	363	7	contemporary	contemporary	ADJ
bjmsr-2230	363	8	computing	computing	PROPN
bjmsr-2230	363	9	(	(	PUNCT
bjmsr-2230	363	10	ic3	ic3	PROPN
bjmsr-2230	363	11	)	)	PUNCT
bjmsr-2230	363	12	(	(	PUNCT
bjmsr-2230	363	13	pp	pp	X
bjmsr-2230	363	14	.	.	PUNCT
bjmsr-2230	364	1	1	1	NUM
bjmsr-2230	364	2	-	-	SYM
bjmsr-2230	364	3	6	6	NUM
bjmsr-2230	364	4	)	)	PUNCT
bjmsr-2230	364	5	.	.	PUNCT
bjmsr-2230	365	1	ieee	ieee	PROPN
bjmsr-2230	365	2	.	.	PUNCT
bjmsr-2230	366	1	https://doi.org/10.1109/ic3.2018.8530602	https://doi.org/10.1109/ic3.2018.8530602	PROPN
bjmsr-2230	366	2	mustaqeem	mustaqeem	PROPN
bjmsr-2230	366	3	,	,	PUNCT
bjmsr-2230	366	4	n.	n.	NOUN
bjmsr-2230	366	5	,	,	PUNCT
bjmsr-2230	366	6	&	&	CCONJ
bjmsr-2230	366	7	kwon	kwon	PROPN
bjmsr-2230	366	8	,	,	PUNCT
bjmsr-2230	366	9	s.	s.	PROPN
bjmsr-2230	366	10	(	(	PUNCT
bjmsr-2230	366	11	2019	2019	NUM
bjmsr-2230	366	12	)	)	PUNCT
bjmsr-2230	366	13	.	.	PUNCT
bjmsr-2230	367	1	a	a	DET
bjmsr-2230	367	2	cnn	cnn	PROPN
bjmsr-2230	367	3	-	-	PUNCT
bjmsr-2230	367	4	assisted	assist	VERB
bjmsr-2230	367	5	enhanced	enhanced	ADJ
bjmsr-2230	367	6	audio	audio	NOUN
bjmsr-2230	367	7	signal	signal	NOUN
bjmsr-2230	367	8	processing	processing	NOUN
bjmsr-2230	367	9	for	for	ADP
bjmsr-2230	367	10	speech	speech	NOUN
bjmsr-2230	367	11	emotion	emotion	NOUN
bjmsr-2230	367	12	recognition	recognition	NOUN
bjmsr-2230	367	13	.	.	PUNCT
bjmsr-2230	368	1	sensors	sensor	NOUN
bjmsr-2230	368	2	,	,	PUNCT
bjmsr-2230	368	3	20(1	20(1	NUM
bjmsr-2230	368	4	)	)	PUNCT
bjmsr-2230	368	5	,	,	PUNCT
bjmsr-2230	368	6	183	183	NUM
bjmsr-2230	368	7	.	.	PUNCT
bjmsr-2230	369	1	https://doi.org/10.3390/s20010183	https://doi.org/10.3390/s20010183	NUM
bjmsr-2230	369	2	panda	panda	NOUN
bjmsr-2230	369	3	,	,	PUNCT
bjmsr-2230	369	4	r.	r.	PROPN
bjmsr-2230	369	5	,	,	PUNCT
bjmsr-2230	369	6	malheiro	malheiro	PROPN
bjmsr-2230	369	7	,	,	PUNCT
bjmsr-2230	369	8	r.	r.	PROPN
bjmsr-2230	369	9	,	,	PUNCT
bjmsr-2230	369	10	&	&	CCONJ
bjmsr-2230	369	11	paiva	paiva	PROPN
bjmsr-2230	369	12	,	,	PUNCT
bjmsr-2230	369	13	r.	r.	PROPN
bjmsr-2230	369	14	p.	p.	PROPN
bjmsr-2230	369	15	(	(	PUNCT
bjmsr-2230	369	16	2020	2020	NUM
bjmsr-2230	369	17	)	)	PUNCT
bjmsr-2230	369	18	.	.	PUNCT
bjmsr-2230	370	1	novel	novel	ADJ
bjmsr-2230	370	2	audio	audio	NOUN
bjmsr-2230	370	3	features	feature	NOUN
bjmsr-2230	370	4	for	for	ADP
bjmsr-2230	370	5	music	music	NOUN
bjmsr-2230	370	6	emotion	emotion	NOUN
bjmsr-2230	370	7	recognition	recognition	NOUN
bjmsr-2230	370	8	.	.	PUNCT
bjmsr-2230	371	1	ieee	ieee	NOUN
bjmsr-2230	371	2	transactions	transaction	NOUN
bjmsr-2230	371	3	on	on	ADP
bjmsr-2230	371	4	affective	affective	ADJ
bjmsr-2230	371	5	computing	computing	NOUN
bjmsr-2230	371	6	,	,	PUNCT
bjmsr-2230	371	7	11(4	11(4	NUM
bjmsr-2230	371	8	)	)	PUNCT
bjmsr-2230	371	9	,	,	PUNCT
bjmsr-2230	371	10	614–626	614–626	NUM
bjmsr-2230	371	11	.	.	PUNCT
bjmsr-2230	372	1	https://doi.org/10.1109/taffc.2018.2820691	https://doi.org/10.1109/taffc.2018.2820691	PROPN
bjmsr-2230	372	2	panda	panda	NOUN
bjmsr-2230	372	3	,	,	PUNCT
bjmsr-2230	372	4	r.	r.	PROPN
bjmsr-2230	372	5	,	,	PUNCT
bjmsr-2230	372	6	rocha	rocha	PROPN
bjmsr-2230	372	7	,	,	PUNCT
bjmsr-2230	372	8	b.	b.	PROPN
bjmsr-2230	372	9	,	,	PUNCT
bjmsr-2230	372	10	&	&	CCONJ
bjmsr-2230	372	11	paiva	paiva	PROPN
bjmsr-2230	372	12	,	,	PUNCT
bjmsr-2230	372	13	r.	r.	PROPN
bjmsr-2230	372	14	p.	p.	PROPN
bjmsr-2230	372	15	(	(	PUNCT
bjmsr-2230	372	16	2015	2015	NUM
bjmsr-2230	372	17	)	)	PUNCT
bjmsr-2230	372	18	.	.	PUNCT
bjmsr-2230	373	1	music	music	NOUN
bjmsr-2230	373	2	emotion	emotion	NOUN
bjmsr-2230	373	3	recognition	recognition	NOUN
bjmsr-2230	373	4	with	with	ADP
bjmsr-2230	373	5	standard	standard	ADJ
bjmsr-2230	373	6	and	and	CCONJ
bjmsr-2230	373	7	melodic	melodic	ADJ
bjmsr-2230	373	8	audio	audio	ADJ
bjmsr-2230	373	9	features	feature	NOUN
bjmsr-2230	373	10	.	.	PUNCT
bjmsr-2230	374	1	applied	apply	VERB
bjmsr-2230	374	2	artificial	artificial	ADJ
bjmsr-2230	374	3	intelligence	intelligence	NOUN
bjmsr-2230	374	4	,	,	PUNCT
bjmsr-2230	374	5	29(4	29(4	NOUN
bjmsr-2230	374	6	)	)	PUNCT
bjmsr-2230	374	7	,	,	PUNCT
bjmsr-2230	374	8	313–334	313–334	NUM
bjmsr-2230	374	9	.	.	PUNCT
bjmsr-2230	375	1	https://doi.org/10.1080/08839514.2015.1016389	https://doi.org/10.1080/08839514.2015.1016389	PROPN
bjmsr-2230	375	2	patra	patra	PROPN
bjmsr-2230	375	3	,	,	PUNCT
bjmsr-2230	375	4	b.	b.	PROPN
bjmsr-2230	375	5	g.	g.	PROPN
bjmsr-2230	375	6	,	,	PUNCT
bjmsr-2230	375	7	das	das	PROPN
bjmsr-2230	375	8	,	,	PUNCT
bjmsr-2230	375	9	d.	d.	PROPN
bjmsr-2230	375	10	,	,	PUNCT
bjmsr-2230	375	11	&	&	CCONJ
bjmsr-2230	375	12	bandyopadhyay	bandyopadhyay	PROPN
bjmsr-2230	375	13	,	,	PUNCT
bjmsr-2230	375	14	s.	s.	PROPN
bjmsr-2230	375	15	(	(	PUNCT
bjmsr-2230	375	16	2016	2016	NUM
bjmsr-2230	375	17	)	)	PUNCT
bjmsr-2230	375	18	.	.	PUNCT
bjmsr-2230	376	1	labeling	labeling	NOUN
bjmsr-2230	376	2	data	datum	NOUN
bjmsr-2230	376	3	and	and	CCONJ
bjmsr-2230	376	4	developing	develop	VERB
bjmsr-2230	376	5	supervised	supervised	ADJ
bjmsr-2230	376	6	framework	framework	NOUN
bjmsr-2230	376	7	for	for	ADP
bjmsr-2230	376	8	hindi	hindi	NOUN
bjmsr-2230	376	9	music	music	NOUN
bjmsr-2230	376	10	mood	mood	NOUN
bjmsr-2230	376	11	analysis	analysis	NOUN
bjmsr-2230	376	12	.	.	PUNCT
bjmsr-2230	377	1	journal	journal	NOUN
bjmsr-2230	377	2	of	of	ADP
bjmsr-2230	377	3	intelligent	intelligent	ADJ
bjmsr-2230	377	4	information	information	NOUN
bjmsr-2230	377	5	systems	system	NOUN
bjmsr-2230	377	6	,	,	PUNCT
bjmsr-2230	377	7	48(3	48(3	NOUN
bjmsr-2230	377	8	)	)	PUNCT
bjmsr-2230	377	9	,	,	PUNCT
bjmsr-2230	377	10	633–651	633–651	NUM
bjmsr-2230	377	11	.	.	PUNCT
bjmsr-2230	378	1	https://doi.org/10.1007/s10844-0160436-1	https://doi.org/10.1007/s10844-0160436-1	PROPN
bjmsr-2230	378	2	patra	patra	PROPN
bjmsr-2230	378	3	,	,	PUNCT
bjmsr-2230	378	4	b.	b.	PROPN
bjmsr-2230	378	5	g.	g.	PROPN
bjmsr-2230	378	6	,	,	PUNCT
bjmsr-2230	378	7	das	das	PROPN
bjmsr-2230	378	8	,	,	PUNCT
bjmsr-2230	378	9	d.	d.	PROPN
bjmsr-2230	378	10	,	,	PUNCT
bjmsr-2230	378	11	&	&	CCONJ
bjmsr-2230	378	12	bandyopadhyay	bandyopadhyay	PROPN
bjmsr-2230	378	13	,	,	PUNCT
bjmsr-2230	378	14	s.	s.	PROPN
bjmsr-2230	378	15	(	(	PUNCT
bjmsr-2230	378	16	2018	2018	NUM
bjmsr-2230	378	17	)	)	PUNCT
bjmsr-2230	378	18	.	.	PUNCT
bjmsr-2230	379	1	multimodal	multimodal	ADJ
bjmsr-2230	379	2	mood	mood	NOUN
bjmsr-2230	379	3	classification	classification	NOUN
bjmsr-2230	379	4	of	of	ADP
bjmsr-2230	379	5	hindi	hindi	ADJ
bjmsr-2230	379	6	and	and	CCONJ
bjmsr-2230	379	7	western	western	ADJ
bjmsr-2230	379	8	songs	song	NOUN
bjmsr-2230	379	9	.	.	PUNCT
bjmsr-2230	380	1	journal	journal	PROPN
bjmsr-2230	380	2	of	of	ADP
bjmsr-2230	380	3	intelligent	intelligent	ADJ
bjmsr-2230	380	4	information	information	NOUN
bjmsr-2230	380	5	systems	system	NOUN
bjmsr-2230	380	6	,	,	PUNCT
bjmsr-2230	380	7	51(3	51(3	NUM
bjmsr-2230	380	8	)	)	PUNCT
bjmsr-2230	380	9	,	,	PUNCT
bjmsr-2230	380	10	579–596	579–596	NUM
bjmsr-2230	380	11	.	.	PUNCT
bjmsr-2230	381	1	https://doi.org/10.1007/s10844-018-0497-4	https://doi.org/10.1007/s10844-018-0497-4	PROPN
bjmsr-2230	382	1	qing	qing	NOUN
bjmsr-2230	382	2	,	,	PUNCT
bjmsr-2230	382	3	x.	x.	PROPN
bjmsr-2230	382	4	,	,	PUNCT
bjmsr-2230	382	5	&	&	CCONJ
bjmsr-2230	382	6	niu	niu	PROPN
bjmsr-2230	382	7	,	,	PUNCT
bjmsr-2230	382	8	y.	y.	PROPN
bjmsr-2230	382	9	(	(	PUNCT
bjmsr-2230	382	10	2018	2018	NUM
bjmsr-2230	382	11	)	)	PUNCT
bjmsr-2230	382	12	.	.	PUNCT
bjmsr-2230	383	1	hourly	hourly	ADJ
bjmsr-2230	383	2	day	day	NOUN
bjmsr-2230	383	3	-	-	PUNCT
bjmsr-2230	383	4	ahead	ahead	ADV
bjmsr-2230	383	5	solar	solar	ADJ
bjmsr-2230	383	6	irradiance	irradiance	NOUN
bjmsr-2230	383	7	prediction	prediction	NOUN
bjmsr-2230	383	8	using	use	VERB
bjmsr-2230	383	9	weather	weather	NOUN
bjmsr-2230	383	10	forecasts	forecast	NOUN
bjmsr-2230	383	11	by	by	ADP
bjmsr-2230	383	12	lstm	lstm	PROPN
bjmsr-2230	383	13	.	.	PUNCT
bjmsr-2230	384	1	energy	energy	NOUN
bjmsr-2230	384	2	,	,	PUNCT
bjmsr-2230	384	3	148	148	NUM
bjmsr-2230	384	4	,	,	PUNCT
bjmsr-2230	384	5	461–468	461–468	NUM
bjmsr-2230	384	6	.	.	PUNCT
bjmsr-2230	385	1	https://doi.org/10.1016/j.energy.2018.01.177	https://doi.org/10.1016/j.energy.2018.01.177	PROPN
bjmsr-2230	385	2	russell	russell	PROPN
bjmsr-2230	385	3	,	,	PUNCT
bjmsr-2230	385	4	j.	j.	PROPN
bjmsr-2230	385	5	a.	a.	PROPN
bjmsr-2230	385	6	(	(	PUNCT
bjmsr-2230	385	7	1980	1980	NUM
bjmsr-2230	385	8	)	)	PUNCT
bjmsr-2230	385	9	.	.	PUNCT
bjmsr-2230	386	1	a	a	DET
bjmsr-2230	386	2	circumplex	circumplex	NOUN
bjmsr-2230	386	3	model	model	NOUN
bjmsr-2230	386	4	of	of	ADP
bjmsr-2230	386	5	affect	affect	PROPN
bjmsr-2230	386	6	.	.	PUNCT
bjmsr-2230	387	1	journal	journal	NOUN
bjmsr-2230	387	2	of	of	ADP
bjmsr-2230	387	3	personality	personality	NOUN
bjmsr-2230	387	4	and	and	CCONJ
bjmsr-2230	387	5	social	social	ADJ
bjmsr-2230	387	6	psychology	psychology	NOUN
bjmsr-2230	387	7	,	,	PUNCT
bjmsr-2230	387	8	39(6	39(6	NUM
bjmsr-2230	387	9	)	)	PUNCT
bjmsr-2230	387	10	,	,	PUNCT
bjmsr-2230	387	11	1161–1178	1161–1178	NUM
bjmsr-2230	387	12	.	.	PUNCT
bjmsr-2230	388	1	https://doi.org/10.1037/h0077714	https://doi.org/10.1037/h0077714	NUM
bjmsr-2230	388	2	schmidt	schmidt	NOUN
bjmsr-2230	388	3	,	,	PUNCT
bjmsr-2230	388	4	e.	e.	PROPN
bjmsr-2230	388	5	m.	m.	PROPN
bjmsr-2230	388	6	,	,	PUNCT
bjmsr-2230	388	7	turnbull	turnbull	PROPN
bjmsr-2230	388	8	,	,	PUNCT
bjmsr-2230	388	9	d.	d.	PROPN
bjmsr-2230	388	10	,	,	PUNCT
bjmsr-2230	388	11	&	&	CCONJ
bjmsr-2230	388	12	kim	kim	PROPN
bjmsr-2230	388	13	,	,	PUNCT
bjmsr-2230	388	14	y.	y.	PROPN
bjmsr-2230	388	15	e.	e.	PROPN
bjmsr-2230	388	16	(	(	PUNCT
bjmsr-2230	388	17	2010	2010	NUM
bjmsr-2230	388	18	,	,	PUNCT
bjmsr-2230	388	19	march	march	PROPN
bjmsr-2230	388	20	)	)	PUNCT
bjmsr-2230	388	21	.	.	PUNCT
bjmsr-2230	389	1	feature	feature	NOUN
bjmsr-2230	389	2	selection	selection	NOUN
bjmsr-2230	389	3	for	for	ADP
bjmsr-2230	389	4	content	content	NOUN
bjmsr-2230	389	5	-	-	PUNCT
bjmsr-2230	389	6	based	base	VERB
bjmsr-2230	389	7	,	,	PUNCT
bjmsr-2230	389	8	time	time	NOUN
bjmsr-2230	389	9	-	-	PUNCT
bjmsr-2230	389	10	varying	vary	VERB
bjmsr-2230	389	11	musical	musical	ADJ
bjmsr-2230	389	12	emotion	emotion	NOUN
bjmsr-2230	389	13	regression	regression	NOUN
bjmsr-2230	389	14	.	.	PUNCT
bjmsr-2230	390	1	in	in	ADP
bjmsr-2230	390	2	proceedings	proceeding	NOUN
bjmsr-2230	390	3	of	of	ADP
bjmsr-2230	390	4	the	the	DET
bjmsr-2230	390	5	international	international	ADJ
bjmsr-2230	390	6	conference	conference	NOUN
bjmsr-2230	390	7	on	on	ADP
bjmsr-2230	390	8	multimedia	multimedia	NOUN
bjmsr-2230	390	9	information	information	NOUN
bjmsr-2230	390	10	retrieval	retrieval	NOUN
bjmsr-2230	390	11	(	(	PUNCT
bjmsr-2230	390	12	pp	pp	ADJ
bjmsr-2230	390	13	.	.	PUNCT
bjmsr-2230	390	14	267274	267274	NUM
bjmsr-2230	390	15	)	)	PUNCT
bjmsr-2230	390	16	.	.	PUNCT
bjmsr-2230	391	1	https://doi.org/10.1145/1743384.1743431	https://doi.org/10.1145/1743384.1743431	PROPN
bjmsr-2230	391	2	soleymani	soleymani	PROPN
bjmsr-2230	391	3	,	,	PUNCT
bjmsr-2230	391	4	m.	m.	NOUN
bjmsr-2230	391	5	,	,	PUNCT
bjmsr-2230	391	6	caro	caro	NOUN
bjmsr-2230	391	7	,	,	PUNCT
bjmsr-2230	391	8	m.	m.	NOUN
bjmsr-2230	391	9	n.	n.	PROPN
bjmsr-2230	391	10	,	,	PUNCT
bjmsr-2230	391	11	schmidt	schmidt	PROPN
bjmsr-2230	391	12	,	,	PUNCT
bjmsr-2230	391	13	e.	e.	PROPN
bjmsr-2230	391	14	m.	m.	PROPN
bjmsr-2230	391	15	,	,	PUNCT
bjmsr-2230	391	16	sha	sha	PROPN
bjmsr-2230	391	17	,	,	PUNCT
bjmsr-2230	391	18	c.	c.	PROPN
bjmsr-2230	391	19	y.	y.	PROPN
bjmsr-2230	391	20	,	,	PUNCT
bjmsr-2230	391	21	&	&	CCONJ
bjmsr-2230	391	22	yang	yang	PROPN
bjmsr-2230	391	23	,	,	PUNCT
bjmsr-2230	391	24	y.	y.	PROPN
bjmsr-2230	391	25	h.	h.	PROPN
bjmsr-2230	391	26	(	(	PUNCT
bjmsr-2230	391	27	2013	2013	NUM
bjmsr-2230	391	28	,	,	PUNCT
bjmsr-2230	391	29	october	october	PROPN
bjmsr-2230	391	30	)	)	PUNCT
bjmsr-2230	391	31	.	.	PUNCT
bjmsr-2230	392	1	1000	1000	NUM
bjmsr-2230	392	2	songs	song	NOUN
bjmsr-2230	392	3	for	for	ADP
bjmsr-2230	392	4	emotional	emotional	ADJ
bjmsr-2230	392	5	analysis	analysis	NOUN
bjmsr-2230	392	6	of	of	ADP
bjmsr-2230	392	7	music	music	NOUN
bjmsr-2230	392	8	.	.	PUNCT
bjmsr-2230	393	1	in	in	ADP
bjmsr-2230	393	2	proceedings	proceeding	NOUN
bjmsr-2230	393	3	of	of	ADP
bjmsr-2230	393	4	the	the	DET
bjmsr-2230	393	5	2nd	2nd	PROPN
bjmsr-2230	393	6	acm	acm	PROPN
bjmsr-2230	393	7	international	international	ADJ
bjmsr-2230	393	8	workshop	workshop	NOUN
bjmsr-2230	393	9	on	on	ADP
bjmsr-2230	393	10	crowdsourcing	crowdsource	VERB
bjmsr-2230	393	11	for	for	ADP
bjmsr-2230	393	12	multimedia	multimedia	NOUN
bjmsr-2230	393	13	(	(	PUNCT
bjmsr-2230	393	14	pp	pp	ADJ
bjmsr-2230	393	15	.	.	PUNCT
bjmsr-2230	393	16	1	1	NUM
bjmsr-2230	393	17	-	-	SYM
bjmsr-2230	393	18	6	6	NUM
bjmsr-2230	393	19	)	)	PUNCT
bjmsr-2230	393	20	.	.	PUNCT
bjmsr-2230	394	1	https://doi.org/10.1145/2506364.2506365	https://doi.org/10.1145/2506364.2506365	NOUN
bjmsr-2230	394	2	tasdelen	tasdelen	ADJ
bjmsr-2230	394	3	,	,	PUNCT
bjmsr-2230	394	4	a.	a.	NOUN
bjmsr-2230	394	5	,	,	PUNCT
bjmsr-2230	394	6	&	&	CCONJ
bjmsr-2230	394	7	sen	sen	PROPN
bjmsr-2230	394	8	,	,	PUNCT
bjmsr-2230	394	9	b.	b.	PROPN
bjmsr-2230	394	10	(	(	PUNCT
bjmsr-2230	394	11	2021	2021	NUM
bjmsr-2230	394	12	)	)	PUNCT
bjmsr-2230	394	13	.	.	PUNCT
bjmsr-2230	395	1	a	a	DET
bjmsr-2230	395	2	hybrid	hybrid	ADJ
bjmsr-2230	395	3	cnn	cnn	PROPN
bjmsr-2230	395	4	-	-	PUNCT
bjmsr-2230	395	5	lstm	lstm	PROPN
bjmsr-2230	395	6	model	model	NOUN
bjmsr-2230	395	7	for	for	ADP
bjmsr-2230	395	8	pre	pre	ADJ
bjmsr-2230	395	9	-	-	ADJ
bjmsr-2230	395	10	mirna	mirna	ADJ
bjmsr-2230	395	11	classification	classification	NOUN
bjmsr-2230	395	12	.	.	PUNCT
bjmsr-2230	396	1	scientific	scientific	ADJ
bjmsr-2230	396	2	reports	report	NOUN
bjmsr-2230	396	3	,	,	PUNCT
bjmsr-2230	396	4	11(1	11(1	NUM
bjmsr-2230	396	5	)	)	PUNCT
bjmsr-2230	396	6	,	,	PUNCT
bjmsr-2230	396	7	14125	14125	NUM
bjmsr-2230	396	8	.	.	PUNCT
bjmsr-2230	397	1	https://doi.org/10.1038/s41598-021-93656-0	https://doi.org/10.1038/s41598-021-93656-0	NUM
bjmsr-2230	397	2	weninger	weninger	NOUN
bjmsr-2230	397	3	,	,	PUNCT
bjmsr-2230	397	4	f.	f.	PROPN
bjmsr-2230	397	5	,	,	PUNCT
bjmsr-2230	397	6	eyben	eyben	PROPN
bjmsr-2230	397	7	,	,	PUNCT
bjmsr-2230	397	8	f.	f.	PROPN
bjmsr-2230	397	9	,	,	PUNCT
bjmsr-2230	397	10	&	&	CCONJ
bjmsr-2230	397	11	schuller	schuller	PROPN
bjmsr-2230	397	12	,	,	PUNCT
bjmsr-2230	397	13	b.	b.	PROPN
bjmsr-2230	397	14	(	(	PUNCT
bjmsr-2230	397	15	2014	2014	NUM
bjmsr-2230	397	16	,	,	PUNCT
bjmsr-2230	397	17	may	may	AUX
bjmsr-2230	397	18	)	)	PUNCT
bjmsr-2230	397	19	.	.	PUNCT
bjmsr-2230	398	1	on	on	ADP
bjmsr-2230	398	2	-	-	PUNCT
bjmsr-2230	398	3	line	line	NOUN
bjmsr-2230	398	4	continuous	continuous	ADJ
bjmsr-2230	398	5	-	-	PUNCT
bjmsr-2230	398	6	time	time	NOUN
bjmsr-2230	398	7	music	music	NOUN
bjmsr-2230	398	8	mood	mood	NOUN
bjmsr-2230	398	9	regression	regression	NOUN
bjmsr-2230	398	10	with	with	ADP
bjmsr-2230	398	11	deep	deep	ADJ
bjmsr-2230	398	12	recurrent	recurrent	ADJ
bjmsr-2230	398	13	neural	neural	ADJ
bjmsr-2230	398	14	networks	network	NOUN
bjmsr-2230	398	15	.	.	PUNCT
bjmsr-2230	399	1	in	in	ADP
bjmsr-2230	399	2	2014	2014	NUM
bjmsr-2230	399	3	ieee	ieee	PROPN
bjmsr-2230	399	4	international	international	ADJ
bjmsr-2230	399	5	conference	conference	NOUN
bjmsr-2230	399	6	on	on	ADP
bjmsr-2230	399	7	acoustics	acoustic	NOUN
bjmsr-2230	399	8	,	,	PUNCT
bjmsr-2230	399	9	speech	speech	NOUN
bjmsr-2230	399	10	and	and	CCONJ
bjmsr-2230	399	11	signal	signal	NOUN
bjmsr-2230	399	12	processing	processing	NOUN
bjmsr-2230	399	13	(	(	PUNCT
bjmsr-2230	399	14	icassp	icassp	PROPN
bjmsr-2230	399	15	)	)	PUNCT
bjmsr-2230	399	16	(	(	PUNCT
bjmsr-2230	399	17	pp	pp	ADV
bjmsr-2230	399	18	.	.	PUNCT
bjmsr-2230	400	1	5412	5412	NUM
bjmsr-2230	400	2	-	-	SYM
bjmsr-2230	400	3	5416	5416	NUM
bjmsr-2230	400	4	)	)	PUNCT
bjmsr-2230	400	5	.	.	PUNCT
bjmsr-2230	401	1	ieee	ieee	NOUN
bjmsr-2230	401	2	.	.	PUNCT
bjmsr-2230	402	1	https://doi.org/10.1109/icassp.2014.6854637	https://doi.org/10.1109/icassp.2014.6854637	PROPN
bjmsr-2230	402	2	yang	yang	PROPN
bjmsr-2230	402	3	,	,	PUNCT
bjmsr-2230	402	4	j.	j.	PROPN
bjmsr-2230	402	5	(	(	PUNCT
bjmsr-2230	402	6	2021	2021	NUM
bjmsr-2230	402	7	)	)	PUNCT
bjmsr-2230	402	8	.	.	PUNCT
bjmsr-2230	403	1	a	a	DET
bjmsr-2230	403	2	novel	novel	ADJ
bjmsr-2230	403	3	music	music	NOUN
bjmsr-2230	403	4	emotion	emotion	NOUN
bjmsr-2230	403	5	recognition	recognition	NOUN
bjmsr-2230	403	6	model	model	NOUN
bjmsr-2230	403	7	using	use	VERB
bjmsr-2230	403	8	neural	neural	ADJ
bjmsr-2230	403	9	network	network	NOUN
bjmsr-2230	403	10	technology	technology	NOUN
bjmsr-2230	403	11	.	.	PUNCT
bjmsr-2230	404	1	frontiers	frontier	NOUN
bjmsr-2230	404	2	in	in	ADP
bjmsr-2230	404	3	psychology	psychology	NOUN
bjmsr-2230	404	4	,	,	PUNCT
bjmsr-2230	404	5	12	12	NUM
bjmsr-2230	404	6	,	,	PUNCT
bjmsr-2230	404	7	760060	760060	NUM
bjmsr-2230	404	8	.	.	PUNCT
bjmsr-2230	405	1	https://doi.org/10.3389/fpsyg.2021.760060	https://doi.org/10.3389/fpsyg.2021.760060	PROPN
bjmsr-2230	405	2	zhang	zhang	PROPN
bjmsr-2230	405	3	,	,	PUNCT
bjmsr-2230	405	4	f.	f.	PROPN
bjmsr-2230	405	5	,	,	PUNCT
bjmsr-2230	405	6	meng	meng	PROPN
bjmsr-2230	405	7	,	,	PUNCT
bjmsr-2230	405	8	h.	h.	PROPN
bjmsr-2230	405	9	,	,	PUNCT
bjmsr-2230	405	10	&	&	CCONJ
bjmsr-2230	405	11	li	li	PROPN
bjmsr-2230	405	12	,	,	PUNCT
bjmsr-2230	405	13	m.	m.	NOUN
bjmsr-2230	405	14	(	(	PUNCT
bjmsr-2230	405	15	2016	2016	NUM
bjmsr-2230	405	16	,	,	PUNCT
bjmsr-2230	405	17	august	august	PROPN
bjmsr-2230	405	18	)	)	PUNCT
bjmsr-2230	405	19	.	.	PUNCT
bjmsr-2230	406	1	emotion	emotion	NOUN
bjmsr-2230	406	2	extraction	extraction	NOUN
bjmsr-2230	406	3	and	and	CCONJ
bjmsr-2230	406	4	recognition	recognition	NOUN
bjmsr-2230	406	5	from	from	ADP
bjmsr-2230	406	6	music	music	NOUN
bjmsr-2230	406	7	.	.	PUNCT
bjmsr-2230	407	1	in	in	ADP
bjmsr-2230	407	2	2016	2016	NUM
bjmsr-2230	407	3	12th	12th	NOUN
bjmsr-2230	407	4	international	international	ADJ
bjmsr-2230	407	5	conference	conference	NOUN
bjmsr-2230	407	6	on	on	ADP
bjmsr-2230	407	7	natural	natural	ADJ
bjmsr-2230	407	8	computation	computation	NOUN
bjmsr-2230	407	9	,	,	PUNCT
bjmsr-2230	407	10	fuzzy	fuzzy	ADJ
bjmsr-2230	407	11	systems	system	NOUN
bjmsr-2230	407	12	and	and	CCONJ
bjmsr-2230	407	13	knowledge	knowledge	NOUN
bjmsr-2230	407	14	discovery	discovery	PROPN
bjmsr-2230	407	15	(	(	PUNCT
bjmsr-2230	407	16	icnc	icnc	ADJ
bjmsr-2230	407	17	-	-	PUNCT
bjmsr-2230	407	18	fskd	fskd	NOUN
bjmsr-2230	407	19	)	)	PUNCT
bjmsr-2230	407	20	(	(	PUNCT
bjmsr-2230	407	21	pp	pp	ADJ
bjmsr-2230	407	22	.	.	PUNCT
bjmsr-2230	408	1	1728	1728	NUM
bjmsr-2230	408	2	-	-	SYM
bjmsr-2230	408	3	1733	1733	NUM
bjmsr-2230	408	4	)	)	PUNCT
bjmsr-2230	408	5	.	.	PUNCT
bjmsr-2230	409	1	ieee	ieee	NOUN
bjmsr-2230	409	2	.	.	PUNCT
bjmsr-2230	410	1	https://doi.org/10.1109/fskd.2016.7603438	https://doi.org/10.1109/fskd.2016.7603438	PROPN
bjmsr-2230	410	2	zhou	zhou	PROPN
bjmsr-2230	410	3	,	,	PUNCT
bjmsr-2230	410	4	q.	q.	PROPN
bjmsr-2230	410	5	,	,	PUNCT
bjmsr-2230	410	6	shan	shan	PROPN
bjmsr-2230	410	7	,	,	PUNCT
bjmsr-2230	410	8	j.	j.	PROPN
bjmsr-2230	410	9	,	,	PUNCT
bjmsr-2230	410	10	ding	ding	PROPN
bjmsr-2230	410	11	,	,	PUNCT
bjmsr-2230	410	12	w.	w.	PROPN
bjmsr-2230	410	13	,	,	PUNCT
bjmsr-2230	410	14	wang	wang	PROPN
bjmsr-2230	410	15	,	,	PUNCT
bjmsr-2230	410	16	c.	c.	PROPN
bjmsr-2230	410	17	,	,	PUNCT
bjmsr-2230	410	18	yuan	yuan	PROPN
bjmsr-2230	410	19	,	,	PUNCT
bjmsr-2230	410	20	s.	s.	PROPN
bjmsr-2230	410	21	,	,	PUNCT
bjmsr-2230	410	22	sun	sun	PROPN
bjmsr-2230	410	23	,	,	PUNCT
bjmsr-2230	410	24	f.	f.	PROPN
bjmsr-2230	410	25	,	,	PUNCT
bjmsr-2230	410	26	...	...	PUNCT
bjmsr-2230	410	27	&	&	CCONJ
bjmsr-2230	410	28	fang	fang	PROPN
bjmsr-2230	410	29	,	,	PUNCT
bjmsr-2230	410	30	b.	b.	PROPN
bjmsr-2230	410	31	(	(	PUNCT
bjmsr-2230	410	32	2021	2021	NUM
bjmsr-2230	410	33	)	)	PUNCT
bjmsr-2230	410	34	.	.	PUNCT
bjmsr-2230	411	1	cough	cough	NOUN
bjmsr-2230	411	2	recognition	recognition	NOUN
bjmsr-2230	411	3	based	base	VERB
bjmsr-2230	411	4	on	on	ADP
bjmsr-2230	411	5	melspectrogram	melspectrogram	NOUN
bjmsr-2230	411	6	and	and	CCONJ
bjmsr-2230	411	7	convolutional	convolutional	ADJ
bjmsr-2230	411	8	neural	neural	ADJ
bjmsr-2230	411	9	network	network	NOUN
bjmsr-2230	411	10	.	.	PUNCT
bjmsr-2230	412	1	frontiers	frontier	NOUN
bjmsr-2230	412	2	in	in	ADP
bjmsr-2230	412	3	robotics	robotic	NOUN
bjmsr-2230	412	4	and	and	CCONJ
bjmsr-2230	412	5	ai	ai	VERB
bjmsr-2230	412	6	,	,	PUNCT
bjmsr-2230	412	7	8	8	NUM
bjmsr-2230	412	8	,	,	PUNCT
bjmsr-2230	412	9	580080	580080	NUM
bjmsr-2230	412	10	.	.	PUNCT
bjmsr-2230	413	1	https://doi.org/10.3389/frobt.2021.580080	https://doi.org/10.3389/frobt.2021.580080	PROPN
bjmsr-2230	413	2	zuber	zuber	PROPN
bjmsr-2230	413	3	,	,	PUNCT
bjmsr-2230	413	4	s.	s.	PROPN
bjmsr-2230	413	5	,	,	PUNCT
bjmsr-2230	413	6	&	&	CCONJ
bjmsr-2230	413	7	vidhya	vidhya	PROPN
bjmsr-2230	413	8	,	,	PUNCT
bjmsr-2230	413	9	k.	k.	PROPN
bjmsr-2230	413	10	(	(	PUNCT
bjmsr-2230	413	11	2022	2022	NUM
bjmsr-2230	413	12	,	,	PUNCT
bjmsr-2230	413	13	july	july	PROPN
bjmsr-2230	413	14	)	)	PUNCT
bjmsr-2230	413	15	.	.	PUNCT
bjmsr-2230	414	1	detection	detection	NOUN
bjmsr-2230	414	2	and	and	CCONJ
bjmsr-2230	414	3	analysis	analysis	NOUN
bjmsr-2230	414	4	of	of	ADP
bjmsr-2230	414	5	emotion	emotion	NOUN
bjmsr-2230	414	6	recognition	recognition	NOUN
bjmsr-2230	414	7	from	from	ADP
bjmsr-2230	414	8	speech	speech	NOUN
bjmsr-2230	414	9	signals	signal	NOUN
bjmsr-2230	414	10	using	use	VERB
bjmsr-2230	414	11	decision	decision	NOUN
bjmsr-2230	414	12	tree	tree	NOUN
bjmsr-2230	414	13	and	and	CCONJ
bjmsr-2230	414	14	comparing	compare	VERB
bjmsr-2230	414	15	with	with	ADP
bjmsr-2230	414	16	support	support	NOUN
bjmsr-2230	414	17	vector	vector	NOUN
bjmsr-2230	414	18	machine	machine	NOUN
bjmsr-2230	414	19	.	.	PUNCT
bjmsr-2230	415	1	in	in	ADP
bjmsr-2230	415	2	2022	2022	NUM
bjmsr-2230	415	3	international	international	ADJ
bjmsr-2230	415	4	conference	conference	NOUN
bjmsr-2230	415	5	on	on	ADP
bjmsr-2230	415	6	innovative	innovative	ADJ
bjmsr-2230	415	7	computing	computing	NOUN
bjmsr-2230	415	8	,	,	PUNCT
bjmsr-2230	415	9	intelligent	intelligent	ADJ
bjmsr-2230	415	10	communication	communication	NOUN
bjmsr-2230	415	11	and	and	CCONJ
bjmsr-2230	415	12	smart	smart	ADJ
bjmsr-2230	415	13	electrical	electrical	ADJ
bjmsr-2230	415	14	systems	system	NOUN
bjmsr-2230	415	15	(	(	PUNCT
bjmsr-2230	415	16	icses	icse	NOUN
bjmsr-2230	415	17	)	)	PUNCT
bjmsr-2230	415	18	(	(	PUNCT
bjmsr-2230	415	19	pp	pp	X
bjmsr-2230	415	20	.	.	PUNCT
bjmsr-2230	416	1	1	1	NUM
bjmsr-2230	416	2	-	-	SYM
bjmsr-2230	416	3	5	5	NUM
bjmsr-2230	416	4	)	)	PUNCT
bjmsr-2230	416	5	.	.	PUNCT
bjmsr-2230	417	1	ieee	ieee	PROPN
bjmsr-2230	417	2	.	.	PUNCT
bjmsr-2230	417	3	https://doi.org/10.1109/icses55317.2022.9914046	https://doi.org/10.1109/icses55317.2022.9914046	PROPN
bjmsr-2230	417	4	publisher	publisher	PROPN
bjmsr-2230	417	5	’s	’s	PART
bjmsr-2230	417	6	note	note	NOUN
bjmsr-2230	417	7	:	:	PUNCT
bjmsr-2230	417	8	cribfb	cribfb	PROPN
bjmsr-2230	417	9	stays	stay	VERB
bjmsr-2230	417	10	neutral	neutral	ADJ
bjmsr-2230	417	11	with	with	ADP
bjmsr-2230	417	12	regard	regard	NOUN
bjmsr-2230	417	13	to	to	ADP
bjmsr-2230	417	14	jurisdictional	jurisdictional	ADJ
bjmsr-2230	417	15	claims	claim	NOUN
bjmsr-2230	417	16	in	in	ADP
bjmsr-2230	417	17	published	publish	VERB
bjmsr-2230	417	18	maps	map	NOUN
bjmsr-2230	417	19	and	and	CCONJ
bjmsr-2230	417	20	institutional	institutional	ADJ
bjmsr-2230	417	21	affiliations	affiliation	NOUN
bjmsr-2230	417	22	©	©	ADP
bjmsr-2230	417	23	2024	2024	NUM
bjmsr-2230	417	24	by	by	ADP
bjmsr-2230	417	25	the	the	DET
bjmsr-2230	417	26	authors	author	NOUN
bjmsr-2230	417	27	.	.	PUNCT
bjmsr-2230	418	1	licensee	licensee	PROPN
bjmsr-2230	418	2	cribfb	cribfb	PROPN
bjmsr-2230	418	3	,	,	PUNCT
bjmsr-2230	418	4	usa	usa	PROPN
bjmsr-2230	418	5	.	.	PROPN
bjmsr-2230	419	1	this	this	DET
bjmsr-2230	419	2	open	open	ADJ
bjmsr-2230	419	3	-	-	PUNCT
bjmsr-2230	419	4	access	access	NOUN
bjmsr-2230	419	5	article	article	NOUN
bjmsr-2230	419	6	is	be	AUX
bjmsr-2230	419	7	distributed	distribute	VERB
bjmsr-2230	419	8	under	under	ADP
bjmsr-2230	419	9	the	the	DET
bjmsr-2230	419	10	terms	term	NOUN
bjmsr-2230	419	11	and	and	CCONJ
bjmsr-2230	419	12	conditions	condition	NOUN
bjmsr-2230	419	13	of	of	ADP
bjmsr-2230	419	14	the	the	DET
bjmsr-2230	419	15	creative	creative	ADJ
bjmsr-2230	419	16	commons	common	NOUN
bjmsr-2230	419	17	attribution	attribution	NOUN
bjmsr-2230	419	18	(	(	PUNCT
bjmsr-2230	419	19	cc	cc	NOUN
bjmsr-2230	419	20	by	by	ADP
bjmsr-2230	419	21	)	)	PUNCT
bjmsr-2230	419	22	license	license	NOUN
bjmsr-2230	419	23	(	(	PUNCT
bjmsr-2230	419	24	http://creativecommons.org/licenses/by/4.0	http://creativecommons.org/licenses/by/4.0	NOUN
bjmsr-2230	419	25	)	)	PUNCT
bjmsr-2230	419	26	.	.	PUNCT
bjmsr-2230	420	1	bangladesh	bangladesh	PROPN
bjmsr-2230	420	2	journal	journal	PROPN
bjmsr-2230	420	3	of	of	ADP
bjmsr-2230	420	4	multidisciplinary	multidisciplinary	ADJ
bjmsr-2230	420	5	scientific	scientific	ADJ
bjmsr-2230	420	6	research	research	NOUN
bjmsr-2230	420	7	(	(	PUNCT
bjmsr-2230	420	8	p	p	NOUN
bjmsr-2230	420	9	-	-	PUNCT
bjmsr-2230	420	10	issn	issn	PROPN
bjmsr-2230	420	11	2687	2687	NUM
bjmsr-2230	420	12	-	-	PUNCT
bjmsr-2230	420	13	850x	850x	NUM
bjmsr-2230	420	14	e	e	NOUN
bjmsr-2230	420	15	-	-	PROPN
bjmsr-2230	420	16	issn	issn	PROPN
bjmsr-2230	420	17	2687	2687	NUM
bjmsr-2230	420	18	-	-	SYM
bjmsr-2230	420	19	8518	8518	NUM
bjmsr-2230	420	20	)	)	PUNCT
bjmsr-2230	420	21	by	by	ADP
bjmsr-2230	420	22	cribfb	cribfb	PROPN
bjmsr-2230	420	23	is	be	AUX
bjmsr-2230	420	24	licensed	license	VERB
bjmsr-2230	420	25	under	under	ADP
bjmsr-2230	420	26	a	a	DET
bjmsr-2230	420	27	creative	creative	ADJ
bjmsr-2230	420	28	commons	common	NOUN
bjmsr-2230	420	29	attribution	attribution	NOUN
bjmsr-2230	420	30	4.0	4.0	NUM
bjmsr-2230	420	31	international	international	ADJ
bjmsr-2230	420	32	license	license	NOUN
bjmsr-2230	420	33	.	.	PUNCT
bjmsr-2230	421	1	http://creativecommons.org/licenses/by/4.0	http://creativecommons.org/licenses/by/4.0	X
bjmsr-2230	421	2	)	)	PUNCT
bjmsr-2230	421	3	.	.	PUNCT
bjmsr-2230	422	1	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
bjmsr-2230	422	2	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN
bjmsr-2230	422	3	http://creativecommons.org/licenses/by/4.0/	http://creativecommons.org/licenses/by/4.0/	PROPN