lucidrains/BS-RoFormer

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

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

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

Repository for training models for music source separation.

Code for the paper Hybrid Spectrogram and Waveform Source Separation

The PyTorch-based audio source separation toolkit for researchers

Code for the paper Hybrid Spectrogram and Waveform Source Separation

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.