Title
Exploiting Functional Relationships In Musical Composition
Keywords
Compositional pattern-producing networks; Computer-generated music; CPPNs; IEC; Interactive evolutionary computation; NeuroEvolution of Augmenting Topologies
Abstract
The ability of gifted composers like Mozart to create complex multipart musical compositions with relative ease suggests a highly efficient mechanism for generating multiple parts simultaneously. Computational modelsofhumanmusiccompositioncanpotentiallyshedlightonhowsuchrapidcreativityispossible.This article proposes such a model based on the idea that the multiple threads of a song are temporal patterns that are functionally related, which means that one instrument's sequence is a function of another's. This idea is implemented in a program called NEAT Drummer that interactively evolves a type of artificial neural network called a compositional pattern-producing network, which represents the functional relationship between the instruments and drums. The main result is that richly textured drum tracks that tightly follow the structure of the original song are easily generated because of their functional relationship to it. © 2009 Taylor & Francis.
Publication Date
11-23-2009
Publication Title
Connection Science
Volume
21
Issue
2-3
Number of Pages
227-251
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/09540090902733871
Copyright Status
Unknown
Socpus ID
69249176757 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/69249176757
STARS Citation
Hoover, Amy K. and Stanley, Kenneth O., "Exploiting Functional Relationships In Musical Composition" (2009). Scopus Export 2000s. 11134.
https://stars.library.ucf.edu/scopus2000/11134