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No, he's still just experimenting with the audio representation. However, you certainly can generate halfway intelligible rap, and much more, if you check out https://openai.com/blog/jukebox/ (with GPT-3 lyrics) or consider other kinds of audio synthesis like https://speechbot.github.io/dgslm/ (fully end to end).
This blog is by the author of Tortoise-TTS (stylised as TorToiSe): https://github.com/neonbjb/tortoise-tts
Very cool work being done in ML these days, both inside large corps, and also by independent researchers/"hobbyists" (quotation marks because there is some really expert work being produced by them).
From yesterday, an open-source version of Google's Imagen by lucidrains: https://github.com/lucidrains/imagen-pytorch
This blog is by the author of Tortoise-TTS (stylised as TorToiSe): https://github.com/neonbjb/tortoise-tts
Very cool work being done in ML these days, both inside large corps, and also by independent researchers/"hobbyists" (quotation marks because there is some really expert work being produced by them).
From yesterday, an open-source version of Google's Imagen by lucidrains: https://github.com/lucidrains/imagen-pytorch
Related posts
- [D] Is it possible to create an AI that learns to make mashups of songs?
- Will AI be able to create similar sounding music based off input?
- Best model for music generation?
- Why didn't OpenAI MIT license Jukebox the same way they did CLIP?
- [R] [N] Noise2Music - Diffusion models for generating high quality music audio from text prompts, by Google Research