Modeling Expressed Emotions in Music using Pairwise Comparisons

Jens Madsen, Jens Brehm Nielsen, Bjørn Sand Jensen, Jan Larsen

AbstractWe introduce a two-alternative forced-choice experimental paradigm to quantify expressed emotions in music using the two well-known arousal and valence (AV) dimensions. In order to produce AV scores from the pairwise comparisons and to visualize the locations of excerpts in the AV space, we introduce a flexible Gaussian process (GP) framework which learns from the pairwise comparisons directly. A novel dataset is used to evaluate the proposed framework and learning curves show that the proposed framework needs relative few comparisons in order to achieve satisfactory performance. This is further supported by visualizing the learned locations of excerpts in the AV space. Finally, by examining the predictive performance of the user-specific models we show the importance of modeling subjects individually due to significant subjective differences.
Keywordsexpressed emotion, pairwise comparison, Gaussian process
TypeConference paper [With referee]
Conference9th International Symposium on Computer Music Modeling and Retrieval (CMMR) Music and Emotions
Year2012    Month June
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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