demucs VS spleeter-web

I've had the best results from Facebook's DEMUCs. It's not too difficult to install, and I like the sound quality of their mdx_extra model. This is the command line I use (this will use the 2 stem version -- vocals, and everything else)

facebookresearch/demucs: Stem seperation

For those interested, Facebook's Demucs page (https://github.com/facebookresearch/demucs) gives performance comparison for several models including open-unmix.

See also: https://www.stemroller.com This runs as a local app on Windows and Mac.

Demucs [1], one of the leading/SOTA systems, has an experimental 6-source model, `htdemucs_6s`, which adds piano and guitar:

>We are also releasing an experimental 6 sources model, that adds a guitar and piano source. Quick testing seems to show okay quality for guitar, but a lot of bleeding and artifacts for the piano source.

I also believe Audioshake [2] (a company in the space) is doing guitar separation as well.

1: https://github.com/facebookresearch/demucs

I don't know which one /u/DarkMemoria used exactly but I use demucs. If you go to the Colab section you can run it by putting the audio files you want to separate into Google Drive.

Demucs v4 is the best open source currently, that's also what the snippet from the video sounds like uses

already exist, for example I use demucs to separate songs into 6 tracks, and then I mute what i need to be silenced in any daw.

I regularly use demucs (https://github.com/facebookresearch/demucs). It might be overwhelming when you are not used to work with the terminal, but it's as good as all the wrapper sites that ask for payment. Also, there are probably GUI projects that makes it even easier.

There's also the open source software https://github.com/facebookresearch/demucs which I assume is what many of the free websites are using behind the scenes. There's a demo site here: https://huggingface.co/spaces/akhaliq/demucs but I haven't tested it for time limits/upload limits etc.

I used demucs to try and separate the vocals from the instrumental with fairly decent results. When playing the instrumental you can still vaguely hear some remnants of the vocals and I worry when it's played over a real sound system at the wedding it will be very obvious.

or https://github.com/JeffreyCA/spleeter-web

There's a webservice to separate a song using Demucs here:

https://demucs.danielfrg.com/

And a great Dockerized webapp that lets you choose from several models and parameters here:

https://github.com/JeffreyCA/spleeter-web

Otherwise you can just install them locally and run them through the CLI, it's pretty easy (one command)

https://github.com/facebookresearch/demucs#for-musicians

https://github.com/deezer/spleeter#quick-start

  2. Now you can take the isolated vocals, and build the rest of the song yourself

For the more tech-savvy folks and programmers alike: I've been working self-hostable web app that does this and supports Spleeter and many other models (fully open source): https://github.com/JeffreyCA/spleeter-web

Spleeter Web, a self-hostable web app for music source separation. It lets you isolate the vocal, accompaniment, bass, and/or drums of any piece of music using deep learning-based source separation models. It's like moises.ai/ezstems.com but open-source.

I learned lots about building a full-stack web app ground-up as well as how to containerize the whole thing with Docker.

GitHub: https://github.com/JeffreyCA/spleeter-web