Last time I checked, it was https://github.com/w-okada/voice-changer

Requires a decent amount of VRAM and runs poorly with pretty bad quality (IMO)

Once again we see evidence that AI-for-all is not bottlenecked by research but by the physical limitations of compute infrastructure.

I wouldn't say that when the application is a strung-up Python Frankenstein monster (not to be too demeaning to the author).

More efficient architectures are possible. It's bottlenecked by research.