jukebox
tt-vae-gan
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jukebox | tt-vae-gan | |
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129 | 4 | |
7,563 | 64 | |
1.8% | - | |
0.0 | 1.8 | |
about 2 months ago | over 2 years ago | |
Python | Python | |
GNU General Public License v3.0 or later | - |
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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
tt-vae-gan
- Use deep fake tech to say stuff with your favorite characters
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[Project] I've successfully applied a VAE-GAN model (initially for voice conversion ) to the problem of timbre transfer between musical instruments. This showcases the generalisability of the approach with the potential for more than just one audio style transfer problem.
Link for demonstration, code, and tutorial: https://github.com/RussellSB/tt-vae-gan
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[P] Voice Conversion VAE-Cycle-GAN on Melspectrograms
I've been working on an open source implementation for the past month. The link for it can be found here. But have since been struggling with a load of mode collapse - or the model outputting "blurry" spectrograms not quite capturing the same initial structure as they should.
What are some alternatives?
lucid-sonic-dreams
PyTorch-GAN - PyTorch implementations of Generative Adversarial Networks.
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
CoGAN
spleeter - Deezer source separation library including pretrained models.
YourTTS - YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
music-demixing-challenge-starter-kit - Starter kit for getting started in the Music Demixing Challenge.
StarGANv2-VC - StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
dalle-mini - DALL·E Mini - Generate images from a text prompt
autovc - AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
voice_conversion