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Author Topic: Music Separation with Deezer’s Machine Learning Library  (Read 581 times)

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Offline dfave

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Music Separation with Deezer’s Machine Learning Library
« on: November 07, 2019, 12:33:30 PM »
https://waxy.org/2019/11/fast-and-free-music-separation-with-deezers-machine-learning-library/

Cleanly isolating vocals from drums, bass, piano, and other musical accompaniment is the dream of every mashup artist, karaoke fan, and producer. Commercial solutions exist, but can be expensive and unreliable. Techniques like phase cancellation have very mixed results.

The engineering team behind streaming music service Deezer just open-sourced Spleeter, their audio separation library built on Python and TensorFlow that uses machine learning to quickly and freely separate music into stems. (Read more in today’s announcement.)

See link for more info ... https://waxy.org/2019/11/fast-and-free-music-separation-with-deezers-machine-learning-library/

 

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