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

Socpus ID

69249176757 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/69249176757

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