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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