jukebox
music-demixing-challenge-starter-kit
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| jukebox | music-demixing-challenge-starter-kit | |
|---|---|---|
| 129 | 1 | |
| 7,563 | 127 | |
| 1.8% | 0.0% | |
| 0.0 | 0.0 | |
| about 2 months ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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jukebox
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Open Source Libraries
openai/jukebox: Music Generation
- Will AI be able to create similar sounding music based off input?
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Best model for music generation?
https://github.com/openai/jukebox The demo code is there.
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Why didn't OpenAI MIT license Jukebox the same way they did CLIP?
I didn't even know about it until I heard Sam Altman casually mention it in an interview, I was expecting some basic tunes generator, but this is so amazing! I mean yeah the voices are not clear, it's muffled, but look at how far have image models progressed, if you applied the same amount of collaborative effort here, the results could be amazing! ElevenLabs showed how good and clear can AI-created voices sound. The only reason I can think of is that the Jukebox code is under view license only.
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[R] [N] Noise2Music - Diffusion models for generating high quality music audio from text prompts, by Google Research
OpenAI had this figured out 3 years ago: https://openai.com/blog/jukebox/ . You could then even define your own text. Model is open source too.
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Is music next?
They've had jukebox for a few years now, so I'm sure some new model will get released and explode overnight, like what chatGPT did.
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Mongolian Gabba Goat Techno
That already exists
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
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Implementation of Google's MusicLM in PyTorch
This model is designed to output raw audio.
However, there are many models which do output midi. That's actually much simpler, and has been done already a few years ago.
I thought OpenAI did this. But then, I might misremember, because their Jukebox actually also seems to produce raw audio (https://openai.com/blog/jukebox/).
However, midi generation is so easy, you even find it in some tutorials: https://www.tensorflow.org/tutorials/audio/music_generation
- FREE AI THINGS
music-demixing-challenge-starter-kit
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Sound source separation (Music Demixing) challenge by Sony | Easy baselines
There are some great baselines to get started easily: https://github.com/AIcrowd/music-demixing-challenge-starter-kit
What are some alternatives?
lucid-sonic-dreams
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.
spotify-downloader - Download your Spotify playlists and songs along with album art and metadata (from YouTube if a match is found).
spleeter - Deezer source separation library including pretrained models.
librosa - Python library for audio and music analysis
dalle-mini - DALL·E Mini - Generate images from a text prompt
mkdocs-material-boilerplate - MkDocs Material Boilerplate (Starter Kit) - Deploy documentation to hosting platforms (Netlify, GitHub Pages, GitLab Pages, and AWS Amplify Console) with Docker, pipenv, and GitHub Actions.
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
sidewinder - Django starter kit that focuses on good defaults, developer experience, and deployment. Updated for Django 5.
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
moseca - A Streamilt web app for music source separation & karaoke