free-music-demixer
demucs
free-music-demixer | demucs | |
---|---|---|
7 | 108 | |
323 | 7,672 | |
- | 1.6% | |
8.0 | 5.4 | |
about 1 month ago | 15 days ago | |
Python | Python | |
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.
free-music-demixer
- Ask HN: What are some of the best user experiences with AI?
-
Free-music-demixer adds multi-threading to run Demucs faster in the browser
Hi HN,
Over the Christmas break I added multi-threading to the WASM Demucs module in freemusicdemixer
Demucs (v4 hybrid transformer) is a much higher quality model than the previous default, but it ran very slowly when limited to one worker: ~17 minutes for an average 4-minute song
I have since implemented multi-threading with WebWorkers.
If you raise the "MAX MEMORY" setting to 16 GB or 32 GB, your track will demix within 7-5 minutes, producing state-of-the-art results.
There is also support for the Demucs 6-source model which adds piano and guitar stems.
Please reach out and be loud about any bugs or UX issues you encounter!: https://github.com/sevagh/free-music-demixer/issues
- Show HN: Improved freemusicdemixer – AI music demixing in the browser
- Show HN: Improved freemusicdemixer (AI music demixing in the browser)
- FLaNK Stack Weekly for 17 July 2023
-
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...
demucs
-
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)
-
Open Source Libraries
facebookresearch/demucs: Stem seperation
-
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.
-
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
-
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.
-
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
-
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.
-
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.
-
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.
-
[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.
What are some alternatives?
danswer - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
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
open-unmix-pytorch - Open-Unmix - Music Source Separation for PyTorch
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.
heimdall - Dashboard for operating Flink jobs and deployments.
Demucs-Gui - A GUI for music separation project demucs
dt - dt - duct tape for your unix pipes
spleeter - Deezer source separation library including pretrained models.
video2dataset - Easily create large video dataset from video urls
SpleeterGui - Windows desktop front end for Spleeter - AI source separation
khoj - Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.