Spleeter
An open-source audio source separation tool released by Deezer, known for its speed and ease of deployment. It separates mixed audio into independent stems such as vocals, drums, and bass, and is designed to run on consumer-grade hardware.
Timeline (last 90 days)
Vocal separation is usually implemented based on spectral masks or deep learning models (such as Demucs and Spleeter).
Demucs, open-sourced by Meta Research, and Spleeter, developed by Deezer, are milestone models in the field of audio source separation, based on U-Net or Transformer architectures.
Spleeter was open-sourced and released in 2019 by French music streaming platform Deezer.
Spleeter is based on a U-Net architecture and works in the spectrogram domain, converting audio via Short-Time Fourier Transform and then predicting spectral masks to separate stems.
All Facts (4)
Vocal separation is usually implemented based on spectral masks or deep learning models (such as Demucs and Spleeter).
50%UnverifiedDemucs, open-sourced by Meta Research, and Spleeter, developed by Deezer, are milestone models in the field of audio source separation, based on U-Net or Transformer architectures.
50%UnverifiedSpleeter was open-sourced and released in 2019 by French music streaming platform Deezer.
50%UnverifiedSpleeter is based on a U-Net architecture and works in the spectrogram domain, converting audio via Short-Time Fourier Transform and then predicting spectral masks to separate stems.
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