It'd be nice if there was a #Demucs model that could separate laugh tracks from sitcom episodes. I know an #AI laugh track remover exists already, but to be honest, I wasn't impressed at all by the demo. It sounds like it just turned the episode all the way down when a laugh track came in. Unfortunately, I think the reason it can't happen easily yet is because there aren't many public domain croud sounds out there that you can just train AI on if any, or at least, not to my knowledge. #ML

Well damn. By using '-d mps' on my M1 Max, I got #Demucs to run at about 21 seconds per-second.

A tip for those wanting to try #OpenVino with #Audacity. If using #Demucs, after the process is complete, unselect all tracks in the project except the very first one, which is the original file before processing. Then, press Alt + T, then hit V to remove the selected track. Otherwise, the file will clip like hell!

So, we now have GPU support from PyTorch on M1, but how can one utilize this for #Demucs if at all? I am not able to find any references!