Audio Source Separation Python Packages

torch-log-wmse

logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

torch-l1-snr

Variations of L1 SNR Loss function for training audio source separation machine learning models

torch-log-wmse-audio-quality

logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.

hunterformsbs

Universal frequency-band splitter for music source separation: one interface for BSRoformer, MelBandRoformer, or any Band Split. RoPE, PoPE, HyperACE. Documentation, citations, and explanations. PyTorch; CUDA-accelerated.

ssspy

A Python toolkit for sound source separation.