Saw a post on the watmm forum about free music separation using machine learning and thought I’d drop a link for the technical able folks here as I have no idea on how to get it working on my pc & hope for a renoise tool 
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Find more info here;
(Fast and Free Music Separation with Deezer's Machine Learning Library - Waxy.org)
" Fast and Free Music Separation with Deezer’s Machine Learning Library
POSTED NOVEMBER 4, 2019 BY ANDY BAIO
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.)
The team at @Deezer just released #Spleeter, a Python music source separation library with state-of-the-art pre-trained models!
Straight from command line, you can extract voice, piano, drums… from any music track! Uses @TensorFlow and #Keras.https://github.com/deezer/spleeter pic.twitter.com/tDsBMSYiJD
—
DynamicWebPaige @ #TFWorld
(@DynamicWebPaige) November 2, 2019
You can train it yourself if you have the resources, but the three models they released already far surpass any available free tool that I know of, and rival commercial plugins and services. The library ships with three pre-trained models:
- Two stems – Vocals and Other Accompaniment
- Four stems – Vocals, Drums, Bass, Other
- Five stems – Vocals, Drums, Bass, Piano, Other
It took a couple minutes to install the library, which includes installing Conda, and processing audio was much faster than expected.
On my five-year-old MacBook Pro using the CPU only, Spleeter processed audio at a rate of about 5.5x faster than real-time for the simplest two-stem separation, or about one minute of processing time for every 5.5 minutes of audio. Five-stem separation took around three minutes for 5.5 minutes of audio.
When running on a GPU, the Deezer team report speeds 100x faster than real-time for four stems, converting 3.5 hours of music in less than 90 seconds on a single GeForce GTX 1080."
Gethub source separation library;
If someone could get this working through a tool in Renoise sample editor, processing samples like the cdp tool for example that would be awesome! Could take digging to a whole new level! 