Abstract

Spleeter: a fast and efficient music source separation tool with pre-trained models

Highlights

  • Split music audio files into several stems with a single command line using pre-trained models

  • We present and release a new tool for music source separation with pre-trained models called Spleeter

  • A music audio file can be separated into 2 stems, 4 stems or 5 stems

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Summary

Summary

We present and release a new tool for music source separation with pre-trained models called Spleeter. We believe that source separation has reached a level of maturity that makes it worth considering for these tasks and that specific features computed from isolated vocals, drums or bass may help increase performances, especially in low data availability scenarios (small datasets, limited annotation availability) for which supervised learning might be difficult. Spleeter makes it possible to fine-tune the provided state-of-the-art models in order to adapt the system to a specific use-case.

Implementation details
Separation performances
Spleeter MWF
Full Text
Published version (Free)

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