Spleeter AI Audio Source Separation by Deezer

Spleeter is Deezer's open-source audio source separation library with pretrained models. It can split audio into 2, 4, or 5 stems (vocals, drums, bass, piano, accompaniment) and runs 100x faster than real-time on GPU, making it ideal for music production, remix, and audio analysis workflows.

Installation

Use the upstream install or setup path that matches your environment:

• conda install -c conda-forge ffmpeg libsndfile
• pip install spleeter
• git clone https://github.com/Deezer/spleeter && cd spleeter
• pip install poetry

Requirements and caveats from upstream:

• [![PyPI version]...
• written in Python and uses Tensorflow. It makes it easy
• as well as directly in your own development pipeline as a Python library. It can be installed with [pip](https://github.com/deezer/spleeter/wiki/1....

Basic usage or getting-started notes:

• 2 stems and 4 stems models have high performances on the musdb dataset. Spleeter is also very fast...

• We designed Spleeter so you can use it straight from command line

• Want to try it out but don't want to install anything ? We have set up a Google Colab.

• Source: https://github.com/deezer/spleeter

• Extracted from upstream docs: https://raw.githubusercontent.com/deezer/spleeter/HEAD/README.md

Source

• Agent Skill Exchange