source-separation

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

The PyTorch-based audio source separation toolkit for researchers

Windows desktop front end for Spleeter - AI source separation

Unofficial PyTorch implementation of Google AI's VoiceFilter system

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 Convolutional Neural Networks for Musical Source Separation

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

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

Deep Recurrent Neural Networks for Source Separation

Tutorial covering Open Source tools for Source Separation.

Deep learning based speech source separation using Pytorch

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.

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

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

Collection of EM algorithms for blind source separation of audio signals

A PyTorch implementation of DNN-based source separation.

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

Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF

Microphone Array Speech Processing