AI-based vocal removal tool - Ultimate Vocal Remover
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- KVRAF
- 4054 posts since 8 Jan, 2005 from Hamilton, New Zealand
Dunno if this's been mentioned here, but:
https://github.com/Anjok07/ultimatevocalremovergui
The results are apparently pretty stunning. I've got to head into the studio to download the 1.6gb installer.
https://github.com/Anjok07/ultimatevocalremovergui
The results are apparently pretty stunning. I've got to head into the studio to download the 1.6gb installer.
I make music: progressive-acoustic | electronica/game-soundtrack work | progressive alt-metal
Win 10/11 Simplifier | Also, Specialized C++ containers
Win 10/11 Simplifier | Also, Specialized C++ containers
- KVRAF
- 43985 posts since 11 Aug, 2008 from clown world
metamorphosis wrote: Wed Apr 12, 2023 7:18 am I've got to head into the studio to download the 1.6gb installer.

This is the same method MJ used when he was working on Anthony Marinelli's Thriller.
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- KVRian
- 770 posts since 1 Oct, 2019
While there're online tools for vocal removal too, this is interesting nevertheless.
I may have to change the PC however, the C: drive is tight, IK amplitube don't work, NI guitar rig don't work...
I may have to change the PC however, the C: drive is tight, IK amplitube don't work, NI guitar rig don't work...
I don't record any instruments live, I construct my music.
Song Contest: Possibilities for new themes
Song Contest: Possibilities for new themes
- KVRAF
- 7675 posts since 2 Sep, 2019
450mb download that expands to 1gb installed for Apple Silicon.
UVR left the instrumental faintly in the background of a track I tested, while gaudiolab didn't. However, it sounds like UVR does a little better at minimising the frequency loss in the separated instrumental track. It also seems to leave a little bit less residual instrumental colouration in vocals transients than gaudiolab.
UVR left the instrumental faintly in the background of a track I tested, while gaudiolab didn't. However, it sounds like UVR does a little better at minimising the frequency loss in the separated instrumental track. It also seems to leave a little bit less residual instrumental colouration in vocals transients than gaudiolab.
THIS MUSIC HAS BEEN MIXED TO BE PLAYED LOUD SO TURN IT UP
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- KVRAF
- Topic Starter
- 4054 posts since 8 Jan, 2005 from Hamilton, New Zealand
Yeah no.Aloysius wrote: Wed Apr 12, 2023 10:06 ammetamorphosis wrote: Wed Apr 12, 2023 7:18 am I've got to head into the studio to download the 1.6gb installer.![]()
www.soulstudios.co.nz
I make music: progressive-acoustic | electronica/game-soundtrack work | progressive alt-metal
Win 10/11 Simplifier | Also, Specialized C++ containers
Win 10/11 Simplifier | Also, Specialized C++ containers
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- KVRAF
- Topic Starter
- 4054 posts since 8 Jan, 2005 from Hamilton, New Zealand
Nice to know.jamcat wrote: Wed Apr 12, 2023 10:35 am 450mb download that expands to 1gb installed for Apple Silicon.
UVR left the instrumental faintly in the background of a track I tested, while gaudiolab didn't. However, it sounds like UVR does a little better at minimising the frequency loss in the separated instrumental track. It also seems to leave a little bit less residual instrumental colouration in vocals transients than gaudiolab.
There's also spleeter for more generic instrument separation - which is used internally by some of izotope's stuff, if I understand correctly..
I make music: progressive-acoustic | electronica/game-soundtrack work | progressive alt-metal
Win 10/11 Simplifier | Also, Specialized C++ containers
Win 10/11 Simplifier | Also, Specialized C++ containers
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- KVRer
- 1 posts since 21 Jun, 2023
It looks like UVR uses the Demux model; spleeter is Deezer's inhouse model. I've liked spleeter for a while because it's open source, it's got the max/msp plugin for Ableton, and if you can get it running on a nice enough machine you can produce results quickly.
My problem is that I notice a lot of thinness and artifacts in my spleeter results. Something I thought of was playing around with comping+layering outputs from multiple runs on a song. Has anyone done this already or otherwise found ways to generate less lo-res sounding vocals from machine learning separation techniques?
My problem is that I notice a lot of thinness and artifacts in my spleeter results. Something I thought of was playing around with comping+layering outputs from multiple runs on a song. Has anyone done this already or otherwise found ways to generate less lo-res sounding vocals from machine learning separation techniques?
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- KVRist
- 86 posts since 13 Sep, 2022