source-separation

Isolate vocals, drums, bass, and other instrumental stems from any song

Windows desktop front end for Spleeter - AI source separation

The PyTorch-based audio source separation toolkit for researchers

Unofficial PyTorch implementation of Google AI's VoiceFilter system

A curated list of different papers and datasets in various areas of audio-visual processing

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

A flexible source separation library in Python

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, D3Net, Demucs, Tasnet, X-UMX. Built with React and Django.

Deep Convolutional Neural Networks for Musical Source Separation

This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.

Cross-platform speech toolset, used from the command-line or as a Node.js library. Includes a variety of engines for speech synthesis, speech recognition, forced alignment, speech translation, voice isolation, language detection and more.

Tutorial covering Open Source tools for Source Separation.

Deep Recurrent Neural Networks for Source Separation

example free website for client-side music demixing with Demucs + WebAssembly

Deep learning based speech source separation using Pytorch

A PyTorch implementation of DNN-based source separation.

Collection of EM algorithms for blind source separation of audio signals

Windows desktop front end for Spleeter - AI source separation - A fork of: https://github.com/boy1dr/SpleeterGui

A neural network for end-to-end music source separation