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> To think we managed to solve composition by scrambling together some melodies from an input of thousand melodies and thinking we are done with the hardest par
by 0815test 7y ago
> To think we managed to solve composition by scrambling together some melodies from an input of thousand melodies and thinking we are done with the hardest part is hubris at it’s best.
To me, that's missing the point. The output of systems like BachBot and DeepBach is musically interesting precisely because of how weird and serendipitous the results of that "scrambling together" are. IOW, it's not just scrambling, but scrambling that manages to learn and preserve at least the short-term structures that we associate with "music". (That's a big improvement over simple Markov models.) It's nowhere near what humans would make, same as a picture of an actual dog is not similar to what the DeepDream network outputs as "dog-like" - but it's already interesting in its own right.