demucs
spleeter-web
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demucs | spleeter-web | |
---|---|---|
108 | 5 | |
7,621 | 381 | |
2.2% | - | |
5.9 | 9.4 | |
11 days ago | 5 days ago | |
Python | TypeScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
spleeter-web
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Instrument Isolate for foobar2000
or https://github.com/JeffreyCA/spleeter-web
- Any self hosted vocal removal utility.
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Get Started Making Music
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
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LALAL.AI: 100% AI-Powered separation of instrumental and vocal track, seriously impressive.
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
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Ask HN: What Are You Working On?
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
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.
Demucs-Gui - A GUI for music separation project demucs
LIPS - Scheme based powerful lisp interpreter in JavaScript
maplibre-gl-js - MapLibre GL JS - Interactive vector tile maps in WebGL2
SpleeterGui - Windows desktop front end for Spleeter - AI source separation
Rev-Registration - Automatic class scheduler for Texas A&M written with Python+Django and React+Typescript
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
vocal-remover - Vocal Remover using Deep Neural Networks
knboard - Kanban boards with React & Django.