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Natural Computing
Erschienen in: Natural Computing 1/2019

31.05.2016

Evolving the process of a virtual composer

verfasst von: Csaba Sulyok, Andrew McPherson, Christopher Harte

Erschienen in: Natural Computing | Ausgabe 1/2019

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Abstract

In this paper we present a genetic programming system that evolves the music composition process rather than the musical product. We model the composition process using a Turing-complete virtual register machine, which renders musical pieces. These are evaluated using a series of fitness tests, which judge their statistical similarity against a corpus of Bach keyboard exercises. We explore the space of parameters for the system, looking specifically at population size, single-versus multi-track pieces and virtual machine instruction set design. Results demonstrate that the methodology succeeds in creating pieces of music that converge towards the properties of the chosen corpus. The output pieces exhibit certain musical qualities (repetition and variation) not specifically targeted by our fitness tests, emerging solely based on the statistical similarities.
Vorheriger Artikel Challenges in cooperative coevolution of physically heterogeneous robot teams
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Fußnoten
1
It should be noted that the corpus information is only used to inform our fitness evaluation. If desired, tests based on alternative criteria could be readily substituted without requiring changes to any other part of the system.
 
2
Musical Instrument Digital Interface.
 
3
Works BWV 772-801, MIDI files for which were downloaded from www.​midiworld.​com/​bach.​htm.
 
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Metadaten
Titel
Evolving the process of a virtual composer
verfasst von
Csaba Sulyok
Andrew McPherson
Christopher Harte
Publikationsdatum
31.05.2016
Verlag
Springer Netherlands
Erschienen in
Natural Computing / Ausgabe 1/2019
Print ISSN: 1567-7818
Elektronische ISSN: 1572-9796
DOI
https://doi.org/10.1007/s11047-016-9561-6

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