What does HackerNews think of demucs?
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Language:
Python
demucs for the win. https://github.com/facebookresearch/demucs
For those interested, Facebook's Demucs page (https://github.com/facebookresearch/demucs) gives performance comparison for several models including open-unmix.
See also: https://www.stemroller.com This runs as a local app on Windows and Mac.
Demucs [1], one of the leading/SOTA systems, has an experimental 6-source model, `htdemucs_6s`, which adds piano and guitar:
>We are also releasing an experimental 6 sources model, that adds a guitar and piano source. Quick testing seems to show okay quality for guitar, but a lot of bleeding and artifacts for the piano source.
I also believe Audioshake [2] (a company in the space) is doing guitar separation as well.
1: https://github.com/facebookresearch/demucs 2: https://www.audioshake.ai/
I wonder if this would yield even better results if it were to be split into multiple tracks in the pre-processing stage with something like Demucs.[1]