I'm not 100% up to speed on my AI, but this sounds about like what you'd get with random variations on a signal, where the neural net is the "which sounds like

I'm not 100% up to speed on my AI, but this sounds about like what you'd get with random variations on a signal, where the neural net is the "which sounds like X" filter, and picks one of the two to survive. But that would be using both some form of a genetic algorithm (details TBD?) and the neural net as the checker. But is it? If they aren't doing it that way, I'd be interested in hearing how it's evolving the signal in that given direction - and also how that filter works (what libraries does it use?). Sounds like it hit some sort of local maxima, so this system won't ever produce the original song, but something a percentage of the way toward it. I'm a bit more interested in algorithmic composition, but this could be interesting if trying to blend genres. For a long time I've wanted to build a program that could produce essentially an infinite song morphing between genres with lots of tunable parameters.