1000sharks.xyz
demucs
1000sharks.xyz | demucs | |
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1 | 108 | |
0 | 7,672 | |
- | 1.6% | |
10.0 | 5.4 | |
over 1 year ago | 14 days ago | |
HTML | Python | |
MIT License | MIT License |
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1000sharks.xyz
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Show HN: Free AI-based music demixing in the browser
OK, so, tangentially related: I tried to do something once - I took small chunks of songs generated by SampleRNN in an attempt to stitch together the ones that sounded the most similar.
The script [1] uses Essentia Chromaprint [2] to "grade" the similarity of audio tracks, and combine the ones with the closest chromaprint.
I have a track on Soundcloud which uses the above technique (mashing together short generated clips by their chromagram), trained on Cannibal Corpse [3]
1: https://github.com/sevagh/1000sharks.xyz/blob/master/sampler...
2: https://essentia.upf.edu/reference/std_Chromaprinter.html
3: https://soundcloud.com/user-167126026/1000sharks-domainal-sk...
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.
What are some alternatives?
open-unmix-pytorch - Open-Unmix - Music Source Separation for PyTorch
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
EfficientAT - This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
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.
umx.cpp - C++17 port of Open-Unmix-PyTorch with streaming LSTM inference, ggml, quantization, and Eigen
Demucs-Gui - A GUI for music separation project demucs
spleeter - Deezer source separation library including pretrained models.
free-music-demixer - free website for client-side music demixing with Demucs + WebAssembly
SpleeterGui - Windows desktop front end for Spleeter - AI source separation
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
vocal-remover - Vocal Remover using Deep Neural Networks