I guess it works fine for very formal speech, where most voices sound alike. But i have strong doubts that it would capture the subtleties of popular/queer speech
Actually the opposite, among the best ones are cartoon characters from TV shows, see https://fakeyou.com/ for example, and that is probably still far from what can be done with a bit more effort.
I guess it works fine for very formal speech, where most voices sound alike. But i have strong doubts that it would capture the subtleties of popular/queer speech
Actually the opposite, among the best ones are cartoon characters from TV shows, see https://fakeyou.com/ for example, and that is probably still far from what can be done with a bit more effort.
Edit: https://www.wired.co.uk/article/simpsons-deepfake-voice-actors-ai
You’re precisely proving my point that you need a huge sample of voice from that person in order to “replicate” them ;)
EDIT: For example, in the case of Simpsons, they have 25 seasons of voice data to train the model.