Machine learning of symbolic compositional rules with genetic programming: dissonance treatment in Palestrina
We describe a method for automatically extracting symbolic compositional rules from music corpora. Resulting rules are expressed by a combination of logic and numeric relations, and they can therefore be studied by humans. These rules can also be used for algorithmic composition, where they can be c...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2019-12-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-244.pdf |