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

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Article numbere0151374
JournalPloS one
Volume11
Issue number3
DOIs
Publication statusPublished - Mar 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)

Cite this

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

In: PloS one, Vol. 11, No. 3, e0151374, 01.03.2016.

Research output: Contribution to journalArticle

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