Demucs-Gui VS spleeter

If downloading a script and/or using the command line is too technical for you, you can get free GUI for it here.

use demucs. gotten pretty decent results with it. keep in mind that there will always be artifacts

If there's other sounds on the centre channel you could also potentially run it through vocal isolation processing (e.g. the Music Rebalance tool in iZotope RX software). There's paid software that does this, but also free software out there that can do this but lacks the creature comforts of a nice user interface (E.g. demucs-gui or Ultimate Vocal Remover).

Needing a GOOD stem separation for an upcoming set, I decided to go down the linux and python rabbit hole this evening and compile DEMUCS myself. But there in the documentation was a link to a pre-compiled GUI version! https://github.com/CarlGao4/Demucs-Gui/releases

Here is also a free program that you can run on your own computer that uses the same algorithm: https://carlgao4.github.io/demucs-gui/

Depending on what quality you need, maybe a AI stem separator would be good enough? For example https://carlgao4.github.io/demucs-gui/

You can look into Demucs GUI. It's an AI music seperation tool developed by Facebook AI research. There are other music seperation tools like Deezer's Spleeter which I think is the music seperation engine used used in iZotope's RX10 (at no cost). Demucs is ime is the best at isolating vocals if you use the unquantized trained modelsi.e mdx and mdx_extra. Personally I find mdx_extra the best trained model for Demucs.

Try Demucs-Gui. It's free. And amazing.

virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model.

I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/.

I tried to use it but I had some issues as others in the thread.

I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal.

[0] https://github.com/deezer/spleeter

Spleeter is pretty good https://github.com/deezer/spleeter. Apparently it is used in some dj applications

Haha GitHub and command lines and all can be confusing, but it’s certainly worth the effort because it lets you do everything for free.. here’s the online tutorial: https://github.com/deezer/spleeter/wiki/1.-Installation

Chopped from their website Simple Stems is a quick and easy way to decompose any audio into it’s constituent parts. The plugin uses the well established Spleeter algorithm by Deezer to deconstruct songs into 2, 4 or 5 stems. The results are stunning, though more complicated mixes and live recordings are not always perfectly decomposed.

I was going to post basic pitch from Spotify but it looks like billconan beat me to it. That said I can give you a bit more advice. The Spotify basic pitch model isn't too good at multi-track input. It's capable of it, but you may actually get better results if you separate out the tracks first and then run them individually through the basic pitch model.

In order to do this you can use a source/stem separation model like spleeter (https://github.com/deezer/spleeter) and then run the basic pitch model (or any other midi transcription model). There's other you can try which may yield better results, for example: (https://github.com/Music-and-Culture-Technology-Lab/omnizart)

Either way the key words you want to be looking for are "midi transcription" and "stem separation", should help you find more models to try for both steps. Good luck! :)