I'm absolutely flabbergasted by rapid progression of music related machine learning models. I've always seen music as the "final frontier". With images you can have tiny errors and noise that isn't that noticeable by the human eye, but with music everything has to be impeccable and if a note is slightly off, you instantly hear it. Machine learning models that will be able to create outstanding music, imo, will mark t…
> if a note is slightly off, you instantly hear it I don't know about this. I know professional musicians and they say that they make little mistakes all the time, but part of being a professional is being able to pretend those mistakes didn't exist because the audience doesn't know what it's supposed to sound like.
Very true, however it's something musicians have to specifically train for, because to a trained ear they can become painfully obvious and it's tempting for the musician to (at least) cringe in a way that the audience will detect. Musicians in the audience, though, can often tell when you flub a note, regardless of how you play it off. That's really the bar we are looking to meet.