Abstract
The paper reviewed research work on comparative analysis of baby crying. N numbers of literature papers are reviewed on cross domain, signal processing technique and machine learning techniques. Crying is one of the forms of communication where infants try to communicate with the surrounding people. The paper depicts comparative analysis betweenAlgorithm CNN, KNN and RNN applied on features of sound collected while the baby iscrying on the basis of Body pain, hunger, colic,sleep, Pee and Poop and fake crying of a baby.The existing model monitors the baby crying speech signal and understands the crying signal pattern for Body pain, Hunger, colic, sleep Pee and Poop and Fake crying.
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