Commentary on "A Computational Approach to the Detection and Prediction of (Ir)Regularity in Children's Folk Songs"

Authors

  • Carlos Eduardo Cancino-Chacon Johannes Kepler University Linz

DOI:

https://doi.org/10.18061/emr.v16i2.9159

Keywords:

computational modeling, cognitively-plausible models, machine listening, regularity

Abstract

This commentary on "A Computational Approach to the Detection and Prediction of (Ir)Regularity in Children's Folk Songs" by Mihelač, Povoh, and Wiggins reflects on the use of methods of (statistical) expectation to analyze musical structure and regularity, including potential biases of such methods, and provides some perspectives on leveraging information theoretic models of musical expectation to design cognitively plausible computational listeners of music.

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Published

2023-03-07

How to Cite

Cancino-Chacon, C. E. (2023). Commentary on "A Computational Approach to the Detection and Prediction of (Ir)Regularity in Children’s Folk Songs". Empirical Musicology Review, 16(2), 328–335. https://doi.org/10.18061/emr.v16i2.9159

Issue

Section

Commentaries