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Baby crying translation with deep learning. Ana Laguna

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WiMLDS 2nd event @BCG

Publicada em: Tecnologia
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Baby crying translation with deep learning. Ana Laguna

  1. 1. Hungry or angry? Baby’s crying transla3on with Deep Learning Ana Laguna Pradas Data Scien3st at BBVA Data & Analy,cs SoGooD²ata founder
  2. 2. Background Pregnancy = happiness
  3. 3. Background Pregnancy = fear
  4. 4. Background Baby blues
  5. 5. Background Baby’s cries seem all the same
  6. 6. Background Baby’s crying app, please!
  7. 7. 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
  8. 8. Data Supermum: recognizing every liRle cry
  9. 9. Data Newborn’s daily life Baby modes: Sleepy Hungry Puke (gassy) Diaper change +Angry +Pain (colic) +Fussy
  10. 10. Data §  Challenge 2: audio labelling §  Challenge 3: not enough versa3lity (from mul3class to binary classifica3on) HUNGRY FUSSY ANGRY SLEEPY Audio signals
  11. 11. Data Algorithm input HUNGRY FUSSY ANGRY SLEEPY Spectograms
  12. 12. Deep Learning Algorithms Mul3layer perceptron with Tensorflow Recurrent & Convolu3onal Neuronal Networks with Keras
  13. 13. 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
  14. 14. 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
  15. 15. [D4SG] Social impact Useful for: §  New parents (mainly the 1st month of life) §  Grandparents §  BabysiRers §  Deaf parents §  Au3sm early detec3on
  16. 16. State of the art ChaRerBaby.org
  17. 17. THANK YOU! anitalp/baby_crying_translator

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