spleeter
spleeter-web
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spleeter | spleeter-web | |
---|---|---|
230 | 5 | |
24,878 | 381 | |
1.4% | - | |
1.5 | 9.4 | |
about 1 month ago | 7 days ago | |
Python | TypeScript | |
MIT License | MIT License |
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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.
[0] https://github.com/deezer/spleeter
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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! :)
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?
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
open-unmix-pytorch - Open-Unmix - Music Source Separation for PyTorch
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
SpleetGUI - Spleeter GUI version
Oat++ - 🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.
nodejs-poolController - An application to control pool equipment from various manufacturers.
knboard - Kanban boards with React & Django.