openmirlab/bs-roformer-infer

Inference package for music source separation models

Official PyTorch implementation for "Iterative Audio Separation with Mixture Consistency via MIMO Model Extension"

Implementation of HS-TasNet, "Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet"

Repository for training models for music source separation.

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Official implementation of “Learning Where to Split: Dynamic Band Splitting for Audio Source Separation”

The PyTorch-based audio source separation toolkit for researchers

The repository provides code for running inference with the Meta Segment Anything Audio Model (SAM-Audio), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Deezer source separation library including pretrained models.