There was Adobe Voco, which seemed kind of a forerunner: https://www.youtube.com/watch?v=I3l4XLZ59iw https://www.youtube.com/watch?v=I3l4XLZ59iw, https://en.wik

There was Adobe Voco, which seemed kind of a forerunner: https://www.youtube.com/watch?v=I3l4XLZ59iw https://www.youtube.com/watch?v=I3l4XLZ59iw, https://en.wikipedia.org/wiki/Adobe_Voco https://en.wikipedia.org/wiki/Adobe_Voco. It purportedly could edit speech like an audio editor and looked like a destroyer of authenticity. And then nothing was heard of it anymore. (Edit: Wikipedia says that VoCo takes “approximately 20 minutes of the desired target's speech”, and that it was a research prototype.) There was a thing called Tacotron from a team at Google, in 2018: https://google.github.io/tacotron/publications/speaker_adaptation/ https://google.github.io/tacotron/publications/speaker_adapt... (In fact, the OP repo and the original CorentinJ/Real-Time-Voice-Cloning apparently rely on Tacotron.) And there was something from 2019: https://www.ohadf.com/projects/text-based-editing/ https://www.ohadf.com/projects/text-based-editing/, https://news.stanford.edu/2019/06/05/edit-video-editing-text/ https://news.stanford.edu/2019/06/05/edit-video-editing-text... The latter two seem to need more samples than pure real-time editing. Overall, to me a layman, this space appears quieter than ‘deep-faking’ videos. Which makes me wonder if I haven't missed something.