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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319261/ https://www.ncbi.nlm.nih.gov/pubmed/37408839 http://dx.doi.org/10.7717/peerj-cs.244 |