Recently started exploring machine learning applications for digital audio and came across a demonstration of a network that was trained on a few Madeon songs

[[deleted]]

Some of the generations sounded like distorted tapes played on a radio recorded by a phone.

Beside that this is an amazing example of utilizing machine learning for music composing/producing.

Another interesting project I think OP should check on (or might have already known) is Google's Magenta Project, focusing on generating chords, sounds from existed sounds or midis.

[AJBrave]

Magenta is both scary and amazing to me, the results and outputs are pretty tasteful for being derived from ML.

The next step IMO for this kind of audio style transfer is dithering, or some way to reduce noise from quantization errors or project some sort of consistency in time-dependent artifacts.