Professor Tuomas Eerola tuomas.eerola@durham.ac.uk
Professor
Expectancy-Violation and Information-Theoretic Models of Melodic Complexity
Eerola, T.
Authors
Abstract
The present study assesses two types of models for melodic complexity: one based on expectancy violations and the other one related to an information-theoretic account of redundancy in music. Seven different datasets spanning artificial sequences, folk and pop songs were used to refine and assess the models. The refinement eliminated unnecessary components from both types of models. The final analysis pitted three variants of the two model types against each other and could explain from 46-74% of the variance in the ratings across the datasets. The most parsimonious models were identified with an information-theoretic criterion. This suggested that the simplified expectancy-violation models were the most efficient for these sets of data. However, the differences between all optimised models were subtle in terms both of performance and simplicity.
Citation
Eerola, T. (2016). Expectancy-Violation and Information-Theoretic Models of Melodic Complexity. Empirical Musicology Review, 11(1), 2-17. https://doi.org/10.18061/emr.v11i1.4836
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 15, 2015 |
Online Publication Date | Jul 8, 2016 |
Publication Date | Jul 8, 2016 |
Deposit Date | Jun 7, 2016 |
Publicly Available Date | Mar 29, 2024 |
Journal | Empirical Musicology Review |
Publisher | The Ohio State University |
Peer Reviewed | Peer Reviewed |
Volume | 11 |
Issue | 1 |
Pages | 2-17 |
DOI | https://doi.org/10.18061/emr.v11i1.4836 |
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Copyright Statement
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Published Journal Article
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
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