Baby cry detection and analysis

This project is developed on Python programming with Machine Learning algorithm, K-Nearest Neighbor (KNN) algorithm

The project used Audio pre-processing with MFCC technique to extract feature.

ML is used to train and detect the infant cry type. There are five types used in this project are

Belly Pain





The project gets accuracy of 88% with KNN algorithm

Python Demo video

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