5 ms·

Audacity is very very very far from state of the art in that respect.

by TylerE 10mo ago

wellthisisgreat 10mo ago
What’s a good alternative ?
- 5-0 10mo ago
  I suppose that depends on the use case. For mash-ups specifically, using yt-dlp to download music and split into stems with Demucs, using the UVR frontend, before importing into a DAW is effortless. The catch is that you can't expect to get OK-ish separation on anything other than vocals and "other", which really isn't a problem for mash-ups. https://github.com/Anjok07/ultimatevocalremovergui https://github.com/Anjok07/ultimatevocalremovergui
  - deleted 10mo ago
    [deleted]
  - nartho 10mo ago
    IS there any DAW plugins that do that ?
    - 5-0 10mo ago
      There are several. I've only tried one of them (free, can't remember which) but went back to UVR5. While it's convenient not having to split stems into separate files beforehand, by using a VST, you usually end up doing so anyway while editing and arranging.
- embedding-shape 10mo ago
  If you're already in the Ableton ecosystem, their newly released stem separation is actually very good, at least for the small amount of testing I've done so far. Much better than demucs, which shouldn't come as a surprise I suppose.
- TylerE 10mo ago
  I use RipX DAW personally. It very cleanly seperates vocals, guitar, bass, and drums.
vhcr 10mo ago
This new SAM model actually competes against SOTA models. https://www.reddit.com/r/LocalLLaMA/comments/1pp9w31/ama_with_the_meta_researchers_behind_sam_3_sam_3d/nulnacm/ https://www.reddit.com/r/LocalLLaMA/comments/1pp9w31/ama_wit...
- embedding-shape 10mo ago
  Their answer: > If you are interested in how well we do compared to demucs in particular, we can use the MUSDB18 dataset since that is the domain that demucs is trained to work well on. There our net win rate against demucs is ~17%, meaning we do perform better on the MUSDB18 test set. There are actually stronger competitors on both this domain and our "in-the-wild" instrument stem separation domain that we built for SAM Audio Bench, but we either match or beat all of the ones we tested (AudioShake, LalalAI, MoisesAI, etc.) So ~20% better than demucs, better than the ones they tested, but the acknowledge there are better models out there even today. So not sure "competes against SOTA models" is right, but "getting close to compete against SOTA models" might be more accurate.

Audacity is very very very far from state of the art in that respect.

by TylerE 10mo ago

Audacity is very very very far from state of the art in that respect.

wellthisisgreat 10mo ago

What’s a good alternative ?

5-0 10mo ago
I suppose that depends on the use case. For mash-ups specifically, using yt-dlp to download music and split into stems with Demucs, using the UVR frontend, before importing into a DAW is effortless. The catch is that you can't expect to get OK-ish separation on anything other than vocals and "other", which really isn't a problem for mash-ups. https://github.com/Anjok07/ultimatevocalremovergui https://github.com/Anjok07/ultimatevocalremovergui
- deleted 10mo ago
  [deleted]
- nartho 10mo ago
  IS there any DAW plugins that do that ?
  - 5-0 10mo ago
    There are several. I've only tried one of them (free, can't remember which) but went back to UVR5. While it's convenient not having to split stems into separate files beforehand, by using a VST, you usually end up doing so anyway while editing and arranging.
embedding-shape 10mo ago
If you're already in the Ableton ecosystem, their newly released stem separation is actually very good, at least for the small amount of testing I've done so far. Much better than demucs, which shouldn't come as a surprise I suppose.
TylerE 10mo ago
I use RipX DAW personally. It very cleanly seperates vocals, guitar, bass, and drums.

vhcr 10mo ago

This new SAM model actually competes against SOTA models. https://www.reddit.com/r/LocalLLaMA/comments/1pp9w31/ama_with_the_meta_researchers_behind_sam_3_sam_3d/nulnacm/ https://www.reddit.com/r/LocalLLaMA/comments/1pp9w31/ama_wit...

embedding-shape 10mo ago
Their answer: > If you are interested in how well we do compared to demucs in particular, we can use the MUSDB18 dataset since that is the domain that demucs is trained to work well on. There our net win rate against demucs is ~17%, meaning we do perform better on the MUSDB18 test set. There are actually stronger competitors on both this domain and our "in-the-wild" instrument stem separation domain that we built for SAM Audio Bench, but we either match or beat all of the ones we tested (AudioShake, LalalAI, MoisesAI, etc.) So ~20% better than demucs, better than the ones they tested, but the acknowledge there are better models out there even today. So not sure "competes against SOTA models" is right, but "getting close to compete against SOTA models" might be more accurate.