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Affective Analysis of Music Using the Progressive Exposure Method: The Influence of Bottom-Up Features on Perceived Musical Affect
Albrecht, Joshua David

2012, Doctor of Philosophy, Ohio State University, Music.
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.
David Huron (Advisor)
David Clampitt (Committee Member)
Robert Cudeck (Committee Member)
Elizabeth Renker (Committee Member)

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Albrecht, J. (2012). Affective Analysis of Music Using the Progressive Exposure Method: The Influence of Bottom-Up Features on Perceived Musical Affect. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Albrecht, Joshua. "Affective Analysis of Music Using the Progressive Exposure Method: The Influence of Bottom-Up Features on Perceived Musical Affect." Electronic Thesis or Dissertation. Ohio State University, 2012. OhioLINK Electronic Theses and Dissertations Center. 28 Apr 2017.

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Albrecht, Joshua "Affective Analysis of Music Using the Progressive Exposure Method: The Influence of Bottom-Up Features on Perceived Musical Affect." Electronic Thesis or Dissertation. Ohio State University, 2012. https://etd.ohiolink.edu/

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