Towards predicting expressed emotion in music from pairwise comparisons

Madsen, J., Sand Jensen, B. , Larsen, J. and Nielsen, J. B. (2012) Towards predicting expressed emotion in music from pairwise comparisons. In: 9th Sound and Music Computing Conference (SMC 2012), Copenhagen, Denmark, 11-14 Jul 2012, pp. 350-357.

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Abstract

We introduce five regression models for the modeling of expressed emotion in music using data obtained in a two alternative forced choice listening experiment. The predictive performance of the proposed models is compared using learning curves, showing that all models converge to produce a similar classification error. The predictive ranking of the models is compared using Kendall's tau rank correlation coefficient which shows a difference despite similar classification error. The variation in predictions across subjects and the difference in ranking is investigated visually in the arousal-valence space and quantified using Kendall's τ.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jensen, Dr Bjorn Sand
Authors: Madsen, J., Sand Jensen, B., Larsen, J., and Nielsen, J. B.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2012 The Authors
First Published:First published in Proceedings of the 9th Sound and Music Computing Conference 2012: 350-357
Publisher Policy:Reproduced under a Creative Commons License

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