demucs
open-unmix-pytorch
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demucs | open-unmix-pytorch | |
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108 | 11 | |
7,644 | 1,157 | |
2.4% | 2.3% | |
5.4 | 5.6 | |
4 days ago | 13 days ago | |
Python | Python | |
MIT License | MIT License |
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demucs
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Best way to extract a vocal stem from a song
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)
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Open Source Libraries
facebookresearch/demucs: Stem seperation
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Show HN: Improved freemusicdemixer (AI music demixing in the browser)
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.
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Show HN: Free AI-based music demixing in the browser
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
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Romy & Fred again.. - Strong (Yelow Bootleg Remix) [2023]
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.
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AI integration has just been teased by Scott on the official forum.
Demucs v4 is the best open source currently, that's also what the snippet from the video sounds like uses
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Is there anyway I can play along to songs where the original guitar has been muted?
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.
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I need help removing vocals
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.
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Are there any websites or programs that can separate vocals and drums from samples?
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.
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[Request] Need help cleaning up an instrumental to play at my wedding.
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.
open-unmix-pytorch
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Show HN: Improved freemusicdemixer (AI music demixing in the browser)
In my first post, quite a lot of alternatives were discussed: https://news.ycombinator.com/item?id=36707877
The model I'm using is called Open-Unmix (https://github.com/sigsep/open-unmix-pytorch). In 2021, there was an update to Open-Unmix to include new weights, UMX-L, which made it perform better than it used to on the older weights (UMXHQ).
In the grand landscape of music demixing, I don't think UMX-L is near the top anymore.
_However_, the demixing performance of freemusicdemixer.com is very close to the full PyTorch performance of Open-Unmix UMX-L, despite the tricks I needed to get it working in the browser, such as splitting up the inference to operate on segments of the song, or making the LSTM operate on streaming segments rather than holding the entire track in the LSTM memory.
In my first release, I loaded and did inference on the entire track at once (like the PyTorch model), which frequently crashed or exceeded the 4GB WASM memory for medium or large-size tracks.
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Show HN: Free AI-based music demixing in the browser
* Post-processing step (bigger impact)
I tried to tackle the post-processing step in my C++ code (which would win ~1 dB in quality across all targets) but it's too tricky for now [2]. Maybe some other day.
1: https://github.com/sevagh/free-music-demixer/blob/main/examp...
2: https://github.com/sigsep/open-unmix-pytorch/blob/master/ope...
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Splitter.fm: Listen to the individual instrument/vocal tracks (known as "stems") for over 700 songs uploaded by 150+ artists
Or open-unmix. I've found it performs better than spleeter in some of my tests.
- I've created a website that extracts audio stems from songs using Spleeter, Demucs3, and Open Unmix for free.
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Cassiopeia: New Audio Splitter Superior to Spleeter and UMX
There's maybe something useful for you here?
https://github.com/facebookresearch/demucs
https://github.com/sigsep/open-unmix-pytorch
https://github.com/bytedance/music_source_separation
https://github.com/deezer/spleeter
- [N] Music Demixing (Audio Source Separation) Competition by Sony | ISMIR 2021
- [N Music Demixing (Audio Source Separation) Competition by Sony | ISMIR 2021
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[Research] Music Source Separation with AI networks: Comparison Tests incl. Spleeter, Lalal.ai, OpenUnmix and Extended Unmix
OpenUnmix ( is a neural network solution from Yuki Mitsufuji and Stefan Uhlich, music industry luminaries that work in Sony's core divisions.
What are some alternatives?
mdx-net - KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021
spleeter - Deezer source separation library including pretrained models.
spleeter-web - Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, D3Net, Demucs, Tasnet, X-UMX. Built with React and Django.
music_source_separation
Demucs-Gui - A GUI for music separation project demucs
free-music-demixer - free website for client-side music demixing with Demucs + WebAssembly
ai-research-code
SpleeterGui - Windows desktop front end for Spleeter - AI source separation
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
1000sharks.xyz - AI "metal artist" with SampleRNN (mirror from GitLab)