that first example is jaw dropping. its just like what good musicians do when they are noodling. damn. well done! probably the best results i've ever heard for this type of effort.
I'm curious how many tries it took to get that. I've tried chopping up samples from piano music using onset detection and then recombining samples programmatically. The results were more interesting musically to me actually, but also not as reminiscent of a traditional classical / romantic piano piece.
So, this is probably the best RNN generated music that I've heard too but overall I'm still not extremely impressed.
I'm passionate about this subject so here's my take on it. Until neural networks can create music better than humans it will be nothing more than table talk.
Usually for something to gain any real traction it needs to solve a problem or do it better than current solutions. AI generated music does neither.
From a music nerd who loves programming and neural networks I find this stuff very interesting. But I feel that neural networks could be much more useful to composers in other ways.
Yeah, I make electronic music and I'm really interested in algorithmic techniques as an aid to the composer too.
I have python scripts that just generate many minutes worth of music in an instant, and then I comb through the result and cut out the interesting parts for further processing. It's a really productive technique and you hit on melodies and rhythms that normally a human wouldn't.
If AI is used as a tool to help composers become more productive it would be a massive hit. The ability to create new interesting stuff in less time is valuable.
When I hear this I just think of Apple's Drummer Track in Logic X and what sort of cool generative tools could be developed that can be trained on different source inputs and such. It's really exciting.
