AI-based vocal removal tool - Ultimate Vocal Remover

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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.

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metamorphosis wrote: Wed Apr 12, 2023 7:18 am I've got to head into the studio to download the 1.6gb installer.
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This is the same method MJ used when he was working on Anthony Marinelli's Thriller.

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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 don't record any instruments live, I construct my music.
Song Contest: Possibilities for new themes

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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.
THIS MUSIC HAS BEEN MIXED TO BE PLAYED LOUD SO TURN IT UP

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Aloysius wrote: Wed Apr 12, 2023 10:06 am
metamorphosis wrote: Wed Apr 12, 2023 7:18 am I've got to head into the studio to download the 1.6gb installer.
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Yeah no.
www.soulstudios.co.nz

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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.
Nice to know.
There's also spleeter for more generic instrument separation - which is used internally by some of izotope's stuff, if I understand correctly..

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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?

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https://hitnmix.com/

Now this Vocal stem separation tool I've found to be really cool

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