Generation of folk song melodies using Bayes transforms

Thornton, Chris (2011) Generation of folk song melodies using Bayes transforms. Journal of New Music Research, 40 (4). pp. 293-312. ISSN 0929-8215

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Abstract

The paper introduces the `Bayes transform', a mathematical procedure for putting data into a hierarchical representation. Applicable to any type of data, the procedure yields interesting results when applied to sequences. In this case, the representation obtained implicitly models the repetition hierarchy of the source. There are then natural applications to music. Derivation of Bayes transforms can be the means of determining the repetition hierarchy of note sequences (melodies) in an empirical and domain-general way. The paper investigates application of this approach to Folk Song, examining the results that can be obtained by treating such transforms as generative models.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: M Music. Literature on music. Musical instruction and study > M Music
Depositing User: Chris Thornton
Date Deposited: 31 Oct 2012 10:54
Last Modified: 10 Mar 2017 22:49
URI: http://sro.sussex.ac.uk/id/eprint/41029

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