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Hungry	or	angry?	
Baby’s	crying	transla3on	with	Deep	Learning	
Ana	Laguna	Pradas	
	
Data	Scien3st	at	BBVA	Data	&	Analy,cs	
SoGooD²ata	founder
Background	
Pregnancy	=	happiness
Background	
Pregnancy	=	fear
Background	
Baby	blues
Background	
Baby’s	cries	seem	all	the	same
Background	
Baby’s	crying	app,	please!
Data	
§  Challenge	1:	no	baby’s	cries	data	available		
§  My	own	newborn’s	data:	
•  ≈	70	audios	(.wav	files)	
•  From	1st	month	un3l	4th	month	of	life
Data	
Supermum:	recognizing	every	liRle	cry
Data	
	Newborn’s	daily	life	
Baby	modes:	
Sleepy	
Hungry	
Puke	(gassy)	
Diaper	change	
	
+Angry	
+Pain	(colic)	
+Fussy
Data	
§  Challenge	2:	audio	labelling	
§  Challenge	3:	not	enough	versa3lity	(from	mul3class	to	binary	classifica3on)	
	
HUNGRY 																																																											FUSSY	
	
	
	
	
	
ANGRY 	 	 	 	 	 															SLEEPY	
	
	
	
Audio	signals
Data	
Algorithm	input	
	
HUNGRY 																																																											FUSSY	
	
	
	
	
	
ANGRY 	 	 	 	 	 															SLEEPY	
	
	
	
Spectograms
Deep	Learning	Algorithms	
Mul3layer	perceptron		
with	Tensorflow	
Recurrent	&	Convolu3onal		
Neuronal	Networks	with	Keras
Conclusion	
Results:	good	models	accuracy	(0.76	–	0.86)	
	
Learning:	no	fear	of	small	datasets	with	DL	when	the	signal	is	clear	
	
But	risk	of:	
•  Bias	
•  Overfieng
Next	steps	
§  More	mul3label	data	
§  More	babies	data	
§  More	mul3cultural	babies	data	
§  Transfer	learning	
§  CapsNets	
§  Clustering	for	labelling	
§  Try	new	2018	apps	
§  Scien3fic	papers	
§  App	release!	 sogooddata.org
[D4SG]	Social	impact	
Useful	for:		
	
§  New	parents	(mainly	the	1st	month	of	life)	
§  Grandparents	
§  BabysiRers	
§  Deaf	parents	
§  Au3sm	early	detec3on
State	of	the	art	
																					ChaRerBaby.org
THANK	YOU!		
	
anitalp/baby_crying_translator

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Baby crying translation with deep learning. Ana Laguna