Detects AI-generated (deepfake) voices using MFCC features with CNN, Random Forest, and KNN models. Achieves ~98% accuracy using engineered audio features and the SceneFake dataset.

MelScalogram is a Python class that leverages continuous wavelet transforms and the Mel scale for enhanced audio signal analysis and visualization.