This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.
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Updated
Jul 6, 2024 - Python
This repository contains audio samples and supplementary materials accompanying publications by the "Speaker, Voice and Language" team at Google.
Isolate vocals, drums, bass, and other instrumental stems from any song
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.
Knowledge Boosting
Tools of soundscape information retrieval, this repository is a developing project. Please go to https://github.com/meil-brcas-org/soundscape_IR for full releases.
Banquet: A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
Implements ML audio separation algorithm on audio from YouTube or Spotify resulting in "stems" for download (e.g. vocals, drums, bass) in MP3, WAV or FLAC.
free website for client-side music demixing with Demucs + WebAssembly
Unofficial PyTorch implementation of Music Source Separation with Band-split RNN
Tutorial covering Open Source tools for Source Separation.
Easy-to-use speech toolset. Written in TypeScript. Includes tools for synthesis, recognition, alignment, speech translation, language detection, source separation and more.
Source separation of underwater acoustic radiated noise signals from ships with unknown numbers of signals. Using keras 2.2.4 with tensorflow-gpu 1.12.0 backend.
hyperspectral galaxy modeling and deblending
Separation models for Audio Fingerprinting
Mirror from github enterprise; bachelor thesis; timbre transfer with DDSP and tensorflow
The Open Source AI Musical Toolkit
Unofficial PyTorch implementation of "SCNet: Sparse Compression Network for Music Source Separation"
The PyTorch-based audio source separation toolkit for researchers
Source Separation of Multi-source Raw Music using Residual Quantization
A Fast Speech Enhancement toolkit using Conv-TasNet
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