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If you want to keep up to date with the latest updates on audio machine-learning models, you can find at this google docs link a file that’s frequently updated. The newest information is on top, the file is hundreds of pages, but don’t need to read it all.
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news database
This is the most comprehensive document that covers the latest advances in machine-learning audio processing (stem extraction, cleaning etc.).
📂 docs.google.com/document/d/17fjNvJzj8ZGSer7c7OFe_CNfUKbAxEh_OBv94ZdRG5c
stem splitter
Stem splitting tool. This uses Facebook’s Demucs research. Works locally, and at least on my old machine (nVidia 1060 GPU) it’s faster than MVSep-MDX23 with comparable results.
stem splitter
Stem splitting tool. Probably the best out there. It won the 3rd place at the Sound demixing challenge 2023, qualifying a bit lower than the proprietary models from Facebook and TikTok (which are not available for public use).
MVSep-MDX23 detailed use instructions
https://github.com/jarredou/MVSEP-MDX23-Colab_v2/
stem splitter