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.

hunterformsbs

Flexible frequency-band splitter for music source separation. The BandSplitRoformer module supports BSRoformer, MelBandRoformer, and custom overlapping or non-overlapping band configurations. Fully typed, modular, and documented, including migration help, usage, and paper references. PyTorch; CUDA-accelerated.

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.

ssspy

A Python toolkit for sound source separation.