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Optimising Computational Measures from Behavioural Data Predicts Perceived Consonance Cover

Optimising Computational Measures from Behavioural Data Predicts Perceived Consonance

Transactions of the International Society for Music Information Retrieval
Volume 8 (2025): Issue 1
By: Edward T. R. Hall,  Ran Tamir and  Martin Rohrmeier  
Open Access
|Sep 2025

Authors

Edward T. R. Hall

edward.hall@epfl.ch

Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne, Lausanne

Ran Tamir

ran.tamir@epfl.ch

Department of Signal Theory and Communications, Universitat Politècnica de Catalunya Barcelona, Spain; Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne, Lausanne

Martin Rohrmeier

martin.rohrmeier@epfl.ch

Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne, Lausanne
DOI: https://doi.org/10.5334/tismir.243 | Journal eISSN: 2514-3298
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Language: English
Submitted on: Dec 5, 2024
Accepted on: Jul 24, 2025
Published on: Sep 5, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
consonance,
dissonance,
computational measure,
chords,
interval class

© 2025 Edward T. R. Hall, Ran Tamir, Martin Rohrmeier, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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