Fast and Free Music Separation with Deezer's Machine Learning Library – Waxy.org


39 bookmarks. First posted by mymarkup 9 days ago.


Favorite tweet:

My experiments with Spleeter, a jaw-dropping new library that quickly and freely separates vocals from music with machine learning. https://t.co/8lwvpaTDCU

— Waxy.org (@waxy) November 4, 2019

waxy : http://twitter.com/waxy/status/1191432430298775555 My experiments with Spleeter, a jaw-dropping new library that quickly and freely separates vocals from music with machine learning. https://t.co/8lwvpaTDCU
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yesterday by apolaine
Cleanly isolating vocals from drums, bass, piano, and other musical accompaniment is the dream of every mashup artist, karaoke fan, and producer. Commercial…
from instapaper
2 days ago by wahoo5
Music track separation with machine learning
music 
8 days ago by edraves
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.


The results, just using the pretrained models, are frankly incredible. Gonna be a lot of random mashups and remixes using this....
audio  music  spleeter  deezer  tensorflow  python  cool  hacks  machine-learning 
8 days ago by jm
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.)
audio  music  weekly  tool  ai 
8 days ago by twwoodward
Technology is amazing
audio 
8 days ago by glass
Fast and Free Music Separation with Deezer’s Machine Learning Library by Andy Baio via Waxy.org https://ift.tt/2Nj3rlv
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9 days ago by acdha