AI-Vocal-Remover
spleeter-web
| AI-Vocal-Remover | spleeter-web | |
|---|---|---|
| 1 | 5 | |
| 11 | 387 | |
| - | - | |
| 1.6 | 9.4 | |
| about 1 year ago | 6 days ago | |
| Kotlin | TypeScript | |
| - | MIT License |
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AI-Vocal-Remover
spleeter-web
-
Instrument Isolate for foobar2000
or https://github.com/JeffreyCA/spleeter-web
- Any self hosted vocal removal utility.
-
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 -
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?
stemroller - Isolate vocals, drums, bass, and other instrumental stems from any song
demucs - Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
spleeter - Deezer source separation library including pretrained models.
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