Conference proceeding
A Model of Perceived Musical Affect Accurately Predicts Self-Report Ratings
Proceedings of the 12th International Conference of Music Perception and Cognition, pp.35-43
2012
Abstract
A new method of collecting self-report assessments of the perceived affective content of short musical passages is described in Albrecht & Huron (2010). This study used a procedure termed the progressive exposure method in which a large passage is divided into discrete five-second excerpts. These excerpts are then presented in random order, and participants evaluate the perceived affective content of these short passages. In that study, 110 participants used the progressive exposure method to analyze the second movement from Beethoven's Pathétique sonata. The results from this study provide a mosaic portrait of eleven affective dimensions across the movement. In this study, a model of perceived affective content is built by measuring sixteen different musical features of each excerpt and using these measurements as predictors of participant ratings. This model is used to make predictions of participant evaluations of the same eleven affective dimensions for fifteen excerpts from different Beethoven piano sonatas. To anticipate the results, the predictions for each of the fifteen excerpts along each of the eleven affective dimensions are significantly correlated with participant ratings.
Details
- Title: Subtitle
- A Model of Perceived Musical Affect Accurately Predicts Self-Report Ratings
- Creators
- Joshua Albrecht - The Ohio State University
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the 12th International Conference of Music Perception and Cognition, pp.35-43
- Publisher
- Thessaloniki, Greece
- Copyright
- Copyright © 2012 the author
- Language
- English
- Date published
- 2012
- Academic Unit
- School of Music
- Record Identifier
- 9985219828302771
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