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Modeling listeners' emotional response to music.
Top Cogn Sci. 2012 Oct; 4(4):607-24.TC

Abstract

An overview of the computational prediction of emotional responses to music is presented. Communication of emotions by music has received a great deal of attention during the last years and a large number of empirical studies have described the role of individual features (tempo, mode, articulation, timbre) in predicting the emotions suggested or invoked by the music. However, unlike the present work, relatively few studies have attempted to model continua of expressed emotions using a variety of musical features from audio-based representations in a correlation design. The construction of the computational model is divided into four separate phases, with a different focus for evaluation. These phases include the theoretical selection of relevant features, empirical assessment of feature validity, actual feature selection, and overall evaluation of the model. Existing research on music and emotions and extraction of musical features is reviewed in terms of these criteria. Examples drawn from recent studies of emotions within the context of film soundtracks are used to demonstrate each phase in the construction of the model. These models are able to explain the dominant part of the listeners' self-reports of the emotions expressed by music and the models show potential to generalize over different genres within Western music. Possible applications of the computational models of emotions are discussed.

Authors+Show Affiliations

Department of Music, Finnish Centre of Excellence in Interdisciplinary Music Research, University of Jyväskylä, Jyväskylä, Finland. tuomas.eerola@jyu.fi

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

22389191

Citation

Eerola, Tuomas. "Modeling Listeners' Emotional Response to Music." Topics in Cognitive Science, vol. 4, no. 4, 2012, pp. 607-24.
Eerola T. Modeling listeners' emotional response to music. Top Cogn Sci. 2012;4(4):607-24.
Eerola, T. (2012). Modeling listeners' emotional response to music. Topics in Cognitive Science, 4(4), 607-24. https://doi.org/10.1111/j.1756-8765.2012.01188.x
Eerola T. Modeling Listeners' Emotional Response to Music. Top Cogn Sci. 2012;4(4):607-24. PubMed PMID: 22389191.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Modeling listeners' emotional response to music. A1 - Eerola,Tuomas, Y1 - 2012/03/02/ PY - 2012/3/6/entrez PY - 2012/3/6/pubmed PY - 2013/3/21/medline SP - 607 EP - 24 JF - Topics in cognitive science JO - Top Cogn Sci VL - 4 IS - 4 N2 - An overview of the computational prediction of emotional responses to music is presented. Communication of emotions by music has received a great deal of attention during the last years and a large number of empirical studies have described the role of individual features (tempo, mode, articulation, timbre) in predicting the emotions suggested or invoked by the music. However, unlike the present work, relatively few studies have attempted to model continua of expressed emotions using a variety of musical features from audio-based representations in a correlation design. The construction of the computational model is divided into four separate phases, with a different focus for evaluation. These phases include the theoretical selection of relevant features, empirical assessment of feature validity, actual feature selection, and overall evaluation of the model. Existing research on music and emotions and extraction of musical features is reviewed in terms of these criteria. Examples drawn from recent studies of emotions within the context of film soundtracks are used to demonstrate each phase in the construction of the model. These models are able to explain the dominant part of the listeners' self-reports of the emotions expressed by music and the models show potential to generalize over different genres within Western music. Possible applications of the computational models of emotions are discussed. SN - 1756-8765 UR - https://www.unboundmedicine.com/medline/citation/22389191/Modeling_listeners'_emotional_response_to_music_ L2 - https://doi.org/10.1111/j.1756-8765.2012.01188.x DB - PRIME DP - Unbound Medicine ER -