GitHub - suweyba1/Respiratory-Sound-Classification: This project uses a Kaggle dataset of 920 annotated respiratory sound recordings from 126 patients to classify respiratory conditions and detect wheezes/crackles. It compares CNNs for diagnostic classification (e.g., pneumonia, bronchiectasis) and RNNs for detecting wheezes and crackles.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Trained_models		Trained_models
128_1b3_Tc_mc_LittC2SE.wav		128_1b3_Tc_mc_LittC2SE.wav
filename_format.txt		filename_format.txt
patient_diagnosis.csv		patient_diagnosis.csv
respitory_sound.ipynb		respitory_sound.ipynb

About

This project uses a Kaggle dataset of 920 annotated respiratory sound recordings from 126 patients to classify respiratory conditions and detect wheezes/crackles. It compares CNNs for diagnostic classification (e.g., pneumonia, bronchiectasis) and RNNs for detecting wheezes and crackles.