spleeter-thomasesr is an open-source community fork of Deezer Spleeter, providing music source separation using TensorFlow and Keras. It allows users to extract vocals and instrument stems from audio files via the command line.
spleeter-thomasesr sits in PulseGate's Audio editing & DAW category. It enables musicians and audio engineers to separate vocals and instruments from music tracks using AI models locally. It is built as an open-source project for musicians, audio engineers, and researchers. spleeter-thomasesr is open source under the MIT license. It runs on the web and the command line, and it can be self-hosted.
Deezer (community fork) builds and maintains spleeter-thomasesr, and the product first shipped in 2019. Development happens publicly on GitHub with 28.2k stars. Key capabilities include music source separation, tensorFlow support, and keras-based inference.
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