Computational-model-based analysis of context effects on harmonic expectancy

研究成果: ジャーナルへの寄稿記事

抄録

Expectancy for an upcoming musical chord, harmonic expectancy, is supposedly based on automatic activation of tonal knowledge. Since previous studies implicitly relied on interpretations based on Western music theory, the underlying computational processes involved in harmonic expectancy and how it relates to tonality need further clarification. In particular, short chord sequences which cannot lead to unique keys are difficult to interpret in music theory. In this study, we examined effects of preceding chords on harmonic expectancy from a computational perspective, using stochastic modeling. We conducted a behavioral experiment, in which participants listened to short chord sequences and evaluated the subjective relatedness of the last chord to the preceding ones. Based on these judgments, we built stochastic models of the computational process underlying harmonic expectancy. Following this, we compared the explanatory power of the models. Our results imply that, even when listening to short chord sequences, internally constructed and updated tonal assumptions determine the expectancy of the upcoming chord.

元の言語英語
記事番号e0151374
ジャーナルPloS one
11
発行部数3
DOI
出版物ステータス出版済み - 3 1 2016

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Stochastic models
Music
music
Chemical activation
Experiments

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

これを引用

Computational-model-based analysis of context effects on harmonic expectancy. / Morimoto, Satoshi; Remijn, Gerard Bastiaan; Nakajima, Yoshitaka.

:: PloS one, 巻 11, 番号 3, e0151374, 01.03.2016.

研究成果: ジャーナルへの寄稿記事

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