An aesthetic comparison of rule-based and genetic algorithms for generating melodies

Brown, Andrew R. (2004) An aesthetic comparison of rule-based and genetic algorithms for generating melodies. Organised Sound, 9(2), pp. 191-198.

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Various algorithmic techniques are available for generating music, many of which come from the field of artificial intelligence, which is rich with potential in this regard. However, the musical appropriateness of these techniques is less clearly understood. In this paper, I will report on a study that aimed to describe the characteristics of two of these techniques, rule-based and genetic algorithms, as they apply to melody generation. The appropriateness of these characteristics in contributing to well-formed melodies was judged by aesthetic criteria. The results indicate that most combinations of rules, mutations and evolutionary selection result in poor or average melodies, but that careful combination of these techniques can generate melodiesthat are not simply well-formed but in many cases display some elegance and novelty.

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ID Code: 6183
Item Type: Journal Article
Refereed: Yes
Keywords: algorithm sound computer melody
DOI: 10.1017/S1355771804000275
ISSN: 1469-8153
Subjects: Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > PERFORMING ARTS AND CREATIVE WRITING (190400) > Musicology and Ethnomusicology (190409)
Divisions: Current > QUT Faculties and Divisions > Creative Industries Faculty
Copyright Owner: Copyright 2004 Cambridge University Press
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 09 Mar 2007 00:00
Last Modified: 29 Feb 2012 13:10

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