Adversarial and Noise Robust Training for Lightweight Audio Event Detection

This project focuses on detecting respiratory diseases using medical acoustic signals. It applies lightweight Audio Event Detection (AED) models trained with adversarial and noise-robust techniques to identify coughs, wheezes, and breathing anomalies.Enabling accurate and reliable respiratory sound classification