Dissertation
Affective Analysis of Music Using the Progressive Exposure Method: The Influence of Bottom-Up Features on Perceived Musical Affect
The Ohio State University
Doctor of Philosophy (PhD), Ohio State University
2012
Abstract
Existing paradigms for measuring the perceived affective content of music each present their own unique strengths and limitations. This dissertation describes a series of studies conducted to develop and implement a new paradigm called the progressive exposure method. This method presents a long passage in short, discrete segments and asks participants to rate the perceived affective content of those segments. This study uses the second movement of Beethoven's Pathétique sonata (No. 8, Op. 13) as a case study for the method. The results provide a mosaic portrait of the perceived affective content of surface features in the movement. From this data, a model of perceived affective content in the movement is constructed and is tested for generalizability across many excerpts sampled from the Beethoven piano sonata corpus.
Details
- Title: Subtitle
- Affective Analysis of Music Using the Progressive Exposure Method: The Influence of Bottom-Up Features on Perceived Musical Affect
- Creators
- Joshua David Albrecht - University of Iowa, School of Music
- Contributors
- David Huron (Advisor) - The Ohio State University
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), Ohio State University
- Degree in
- Music
- Publisher
- The Ohio State University
- Number of pages
- vi, 235 pages
- Language
- English
- Record Identifier
- 9985219223002771
- Academic Unit
- Music
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