- Deezer source separation library including pretrained models. ⚠️ Spleeter 2.1.0 release introduces some breaking changes, including new CLI option naming for input, and the drop of dedicated GPU package. Please read CHANGELOG for more details. Spleeter is Deezer source separation library with pretrained models written in Python and uses Tensorflow.
- What will you listen to today? Log in to your Deezer account to access more than 73 million tracks.
Deezer Open Source Free
The models available are:
Deezer Open Source Software
- Vocals (singing voice) / accompaniment separation (2 stems)
- Vocals / drums / bass / other separation (4 stems)
- Vocals / drums / bass / piano / other separation (5 stems)
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-03-23. Spotify is a freemium music streaming service providing digital rights management.
Deezer Open Source
2 stems and 4 stems models have state of the art performances on the musdb dataset. Spleeter is also very fast as it can perform separation of audio files to 4 stems 100x faster than real-time when run on a GPU.
Deezer Open Source Music
We designed Spleeter so you can use it straight from command line as well as directly in your own development pipeline as a Python library. It can be installed with Conda, with pip or be used with Docker.