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Spleeter Alternatives
Similar projects and alternatives to spleeter
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demucs
Code for the paper Hybrid Spectrogram and Waveform Source Separation, but the goddamm motherfucker doesn't work.
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ultimatevocalremovergui
GUI for a Vocal Remover that uses Deep Neural Networks.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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youtube-dl-gui
A cross-platform GUI for youtube-dl made in Electron and node.js (by jely2002)
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stemroller
Isolate vocals, drums, bass, and other instrumental stems from any song
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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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.
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riffusion-app
Stable diffusion for real-time music generation [Moved to: https://github.com/riffusion/riffusion-app] (by hmartiro)
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riffusion-inference
Stable diffusion for real-time music generation [Moved to: https://github.com/riffusion/riffusion-inference]
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deemix-foobar2000
Converts foobar2000 corrupted text list to Deezer album URL with Deezer API.
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rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
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nodejs-poolController
An application to control pool equipment from various manufacturers.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
spleeter reviews and mentions
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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! :)
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Anyone here have experience writing VST audio plugins in C++, or 'wrapping'/converting a VST to an AU plug-in?
I'm chasing my white whale, which is to create a real-time version of the audio stem separation tool 'Spleeter' that I've been using for a few years now to remove instruments like drums/bass guitar from existing music so that I can play along at home.
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Separate soundtrack from voices
I use Spleeter.
- [Audio Engineering] Le dissolvant vocal ultime est \ "Holy Sh * t \" niveau bon
- Any self hosted vocal removal utility.
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Ultimate Vocal Remover is "holy sh*t" level good
Some of you have probably heard of spleeter, a machine learning program developed by Deezer that isolates instruments. It was pretty good, but it had some obvious weaknesses. But what if I told you that there's something even better? Ultimate Vocal Remover is so good I audibly said "holy sh*t" when I listened to what it produced. It recently released a full-band model (UVR-MDX-NET Inst HQ 1), unlike spleeter which has an 11kHz cutoff.
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Drumsthesia - a simple software that helps you to learn how to play the drums
I'm actually planning on using something like spleeter to create drumless tracks from youtube videos on a website where people can share the pre-synced music sheets and audio.
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I have questions about producing covers on Synth V
2) It's possible to separate vocals (and other stems) using software like Demucs, LALAL.AI, etc... While it isn't a perfect solution, the technology for this is getting better and better. I originally used Spleeter but now exclusively use Demucs (v4) since the results are highly impressive. If you're not comfortable setting up a python environment, there are some websites like AudioStrip that allow you to try it online with limitations.
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Suppressing audio with Python
If you want better results, you can use Spleter , source separation library including pretrained models .
- Is it possible to segment an audio signal?
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Stats
deezer/spleeter is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of spleeter is Python.