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by big_t
2757 days ago
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I actually just recently took a shot at something very similar to this for my undergrad thesis! [0] I used genetic algorithms to generate 4 measure melodies, using a long short-term memory (LSTM) neural network to determine the fitness of melodies. I trained the LSTM on snippets of music by J.S. Bach. It was able to distinguish between random noise notes and actual music quite well, and to a somewhat lesser degree between Bach and other composers. The melodies it produced were...mixed in quality. I really liked some of them, but quite often it would get stuck at some local maxima of the fitness and couldn't mutate its way to something better. [0] https://github.com/ThomasMatlak/is-software/tree/master/gene... |
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