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The Effect of Perceived Complexity and Formal Location on Musical Preference.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Effect of Perceived Complexity and Formal Location on Musical Preference./
作者:
Lustig, Ethan.
面頁冊數:
1 online resource (118 pages)
附註:
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:
Dissertations Abstracts International83-03B.
標題:
Music theory. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28489978click for full text (PQDT)
ISBN:
9798535590172
The Effect of Perceived Complexity and Formal Location on Musical Preference.
Lustig, Ethan.
The Effect of Perceived Complexity and Formal Location on Musical Preference.
- 1 online resource (118 pages)
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Thesis (Ph.D.)--University of Rochester, 2021.
Includes bibliographical references
Why do we like the music that we like? This seemingly simple question is surprisingly understudied. This dissertation aims to give some answers to this question, with a focus on analyzing the dataset of the FAV Corpus, a collection of pieces and excerpts that 140 survey participants gave as their favorite musical moments. Following a review of the literature on music preference, the study presents two hypotheses that pertain to the excerpts in the FAV Corpus. Both hypotheses are grounded in existing theory, and justified from multiple viewpoints, ranging from psychology, to evolutionary biology, to anecdotes by music scholars in diverse genres. The first hypothesis (the "C-S hypothesis") predicts that the excerpts in the corpus will tend to be moments of decreased complexity. The second hypothesis (the "Returns hypothesis") predicts that the excerpts will tend to be formal returns as well.The C-S hypothesis is tested using an "AB/BC" paradigm with expert judges rating the perceived complexity of each stimulus. The result is that, surprisingly, participants' favorite excerpts in the corpus were moments of increased complexity; this result holds stable regardless of level of training. The Returns hypothesis is tested via an "XYZ" paradigm with expert assignment of formal section labels to each piece. Participants' favorite excerpts did not tend to be returns at a rate greater than chance; however, it was found that excerpt beginning times tend to align more closely with formal section beginnings than do randomly generated excerpts, suggesting that form is somewhat determinative in excerpt choices.Analysis of the composers and genres in the FAV Corpus also reveals interesting information about the historical and stylistic tendencies of people's favorite music, as do analyses of subjective participant comments. Finally, the study presents future possibilities, including potential directions in the spaces of machine learning and music information retrieval.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798535590172Subjects--Topical Terms:
547155
Music theory.
Subjects--Index Terms:
Cognitive scienceIndex Terms--Genre/Form:
542853
Electronic books.
The Effect of Perceived Complexity and Formal Location on Musical Preference.
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Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
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Why do we like the music that we like? This seemingly simple question is surprisingly understudied. This dissertation aims to give some answers to this question, with a focus on analyzing the dataset of the FAV Corpus, a collection of pieces and excerpts that 140 survey participants gave as their favorite musical moments. Following a review of the literature on music preference, the study presents two hypotheses that pertain to the excerpts in the FAV Corpus. Both hypotheses are grounded in existing theory, and justified from multiple viewpoints, ranging from psychology, to evolutionary biology, to anecdotes by music scholars in diverse genres. The first hypothesis (the "C-S hypothesis") predicts that the excerpts in the corpus will tend to be moments of decreased complexity. The second hypothesis (the "Returns hypothesis") predicts that the excerpts will tend to be formal returns as well.The C-S hypothesis is tested using an "AB/BC" paradigm with expert judges rating the perceived complexity of each stimulus. The result is that, surprisingly, participants' favorite excerpts in the corpus were moments of increased complexity; this result holds stable regardless of level of training. The Returns hypothesis is tested via an "XYZ" paradigm with expert assignment of formal section labels to each piece. Participants' favorite excerpts did not tend to be returns at a rate greater than chance; however, it was found that excerpt beginning times tend to align more closely with formal section beginnings than do randomly generated excerpts, suggesting that form is somewhat determinative in excerpt choices.Analysis of the composers and genres in the FAV Corpus also reveals interesting information about the historical and stylistic tendencies of people's favorite music, as do analyses of subjective participant comments. Finally, the study presents future possibilities, including potential directions in the spaces of machine learning and music information retrieval.
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