stemroller
spleeter
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stemroller | spleeter | |
---|---|---|
37 | 230 | |
2,385 | 24,839 | |
3.0% | 1.2% | |
3.1 | 1.5 | |
11 days ago | about 1 month ago | |
Svelte | Python | |
GNU General Public License v3.0 or later | MIT License |
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stemroller
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Instrument Isolate for foobar2000
Would be possible to make this into a foobar2000 component https://github.com/stemrollerapp/stemroller
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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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How can I find instrumentals of rap songs?
This is a pay as you go service that works pretty well. This one is free and works slightly less better (IMO) than the first. Website makes it sound like you have to use their search function but you can just drag and drop audio files in.
- Drum tracks
- Ich finde Gesang in Musik mehrheitlich störend.
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[QUESTION] Do you guys have any specific websites with drum tracks for songs or do i just hope the song im after is on youtube?
Try Stemroller (https://github.com/stemrollerapp/stemroller). It can break an mp3 down into individual stems. Very CPU intensive though.
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Separate soundtrack from voices
I usually try a few options to test for the best results, including Vocalremover and Spleeter, but also https://www.stemroller.com/
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RTJ acapellas
Stem Roller
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Why won't Ubisoft isolate the stems so we can only hear our guitar on rocksmith+?
I wonder why ubisoft hasn't used ai to split the tracks in rocksmith. There are tools like https://github.com/stemrollerapp/stemroller that can do it easily. DJs are doing this live with audio they are mixing. It would make the game more fun and realistic. I don't like hearing the original guitar over mine. I wish I could mute it and play solo.
- are Acapellas hard to find?
spleeter
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Are stems a good way of making mashups
virtual dj and others stem separator is shrinked model of this https://github.com/deezer/spleeter you will get better results downloading original + their large model.
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Big News!
I have used multiple tools at this point. It depends on the scene. I use https://ultimatevocalremover.com/, https://github.com/deezer/spleeter/, iZotope RX. There are also multiple options online, I would personally recommend https://vocalremover.org/.
- Anybody here know what AI model does Steinberg's Spectralayers use to do stem separation?
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Show HN: Free AI-based music demixing in the browser
I tried to use it but I had some issues as others in the thread.
I have tried many sources and method over the years and settled on spleeter [0]. Works well even for 10+ minute songs, varying styles from flamenco to heavy metal.
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AI tools list sorted by category in one place
Spleeter is pretty good https://github.com/deezer/spleeter. Apparently it is used in some dj applications
- Software to lower tracks?
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Where does one legally get stems for remixes?
Haha GitHub and command lines and all can be confusing, but it’s certainly worth the effort because it lets you do everything for free.. here’s the online tutorial: https://github.com/deezer/spleeter/wiki/1.-Installation
- Audio and python help
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Are there any websites or programs that can separate vocals and drums from samples?
Chopped from their website Simple Stems is a quick and easy way to decompose any audio into it’s constituent parts. The plugin uses the well established Spleeter algorithm by Deezer to deconstruct songs into 2, 4 or 5 stems. The results are stunning, though more complicated mixes and live recordings are not always perfectly decomposed.
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Ask HN: Is there an ML model that can go from an audio song to sheet music?
I was going to post basic pitch from Spotify but it looks like billconan beat me to it. That said I can give you a bit more advice. The Spotify basic pitch model isn't too good at multi-track input. It's capable of it, but you may actually get better results if you separate out the tracks first and then run them individually through the basic pitch model.
In order to do this you can use a source/stem separation model like spleeter (https://github.com/deezer/spleeter) and then run the basic pitch model (or any other midi transcription model). There's other you can try which may yield better results, for example: (https://github.com/Music-and-Culture-Technology-Lab/omnizart)
Either way the key words you want to be looking for are "midi transcription" and "stem separation", should help you find more models to try for both steps. Good luck! :)
What are some alternatives?
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
open-unmix-pytorch - Open-Unmix - Music Source Separation for PyTorch
demucs-cxfreeze
demucs4max - Demucs as a max4live device
SpleeterGui - Windows desktop front end for Spleeter - AI source separation
music-source-separation-using-Unets - This repo explores the concept of blind source separation by training a U-Net model that separated a song into its vocal and accompaniments
SpleetGUI - Spleeter GUI version
tortoise-tts-fast - Fast TorToiSe inference (5x or your money back!)
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.