[TaupeRanger]

Always appreciate new attempts at music gen. As with every attempt thus far, even the hand picked selections sound like random nonsense locked to diatonics within a particular key, and no real harmony or counterpoint to speak of (and that's the "good" output, they never let you hear just any old output, it's always 'listen to this handful I selected, the rest may be total garbage').

[raptorraver]

What if we would train computers to compose same way as we teach composition students: renaissance counterpoint, fugues of Bach and harmonic structuring of classical era (sonata form)?

[TaupeRanger]

Unfortunately, as most people in computational creativity will tell you, teaching/learning "rules" is only a tiny sliver of the problem. But even getting a computer to "understand" those things in a way that would allow it to apply them to the act of composing is vastly beyond our current understanding.

[stephencanon]

By far the best output I've heard is still David Cope's stuff, which dates back to at least the 1990s. No one really seems to have improved on it significantly.

[TaupeRanger]

Which, even worse, was not only hand selected but also heavily influenced by Cope himself, as he selected snippets he enjoyed from the output. So it's not really an apples to apples comparison.

[aswanson]

He was just an added threshold layer to the network. :)

[p1esk]

Check out https://aiva.ai/creations

[TheOtherHobbes]

Agreed. This is barely structured musical gibberish.

I'd expect Transformer to produce slightly more structured musical gibberish.

[EADGBE]

As a musician; I'm less worried about a computer replacing me than as a software developer.