moseca
Separate vocals and instruments in the browser with Demucs.
tunesplit est un projet de musique IA open source, créé par rudydelorenzo (rudydelorenzo/tunesplit sur GitHub). Il compte 62 étoiles sur GitHub et 3 forks, il est publié sous la licence Custom et a été mis à jour pour la dernière fois sur GitHub le 25 juillet 2026.
Separate music tracks into stems in a web app.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Faithful ports of published models.
Tweak models and pipelines freely.
Splits songs into vocals, drums, bass, and more.
Describe a track and get audio back.
Generate music without cloud APIs.
Studio-grade sample rates and formats.
Download the source and move into the project folder.
git clone https://github.com/rudydelorenzo/tunesplit.git
cd tunesplitPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at rudydelorenzo/tunesplit with 3 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
The project uses a custom license — read the LICENSE file in the repo before commercial use.
Typically 44.1–48kHz stereo — good enough for demos and remixes.
Separation and generation run much faster on GPU, but CPU works for short tracks.
Check the model's license — the code license and model weights may differ.
Separate vocals and instruments in the browser with Demucs.
A resource-efficient music source separation model in PyTorch.
Loss functions for training audio source separation models.
A desktop karaoke app that transforms your local music library into sing-along tracks
Mobile app that splits songs into stems with on-device deep learning.
Live-performance AI music tool — 8 tracks, 9 models, Ableton Link sync.
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Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Projets de la catégorie Musique IA proches dans le catalogue, les plus proches en étoiles de tunesplit — continuez à explorer de part et d'autre.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.