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...

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Bibliographic Details
Main Authors: Torsten Anders, Benjamin Inden
Format: Article
Language:English
Published: PeerJ Inc. 2019-12-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-244.pdf