generating-folk-melodies.pdf (828.58 kB)
Generation of folk song melodies using Bayes transforms
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.
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Publication status
- Published
File Version
- Submitted version
Journal
Journal of New Music ResearchISSN
0929-8215Publisher
Taylor & FrancisExternal DOI
Issue
4Volume
40Page range
293-312Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2012-10-31Usage metrics
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