This repository contains CryMLClassifier, a machine learning model that classifies baby cries into five categories. It utilizes 193 features extracted from the cry audio data, achieving high accuracy with Random Forest and XGBoost algorithms. The repository includes a "features_extraction" folder for feature extraction code samples.
Wearable Monitoring Device for Infants implemented with Raspberry Pi and Flutter-Dart
This repo contains scripts on how we can interpret baby cries based on donateacry-corpus. (https://github.com/gveres/donateacry-corpus)
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