Mathematical and Computational Analysis of Context Effects on Musical Expectancy: Chord Sequences and Brain Activities

2016 Fiscal Year Final Research Report

• Project/Area Number: 26540145
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Kansei informatics
• Research Institution: Kyushu University
• Principal Investigator: Nakajima Yoshitaka 九州大学, 芸術工学研究院, 教授 (90127267)
• Research Collaborator: UEDA Kazuo 九州大学, 大学院芸術工学研究院, 准教授 (80254316) ; HASUO Emi 東京電機大学, 研究員 (60725969) ; TOMIMATSU Erika , 日本学術振興会・特別研究員 (20584668) ; MORIMOTO Satoshi 九州大学, 大学院生
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: 音楽知覚 / 音楽的期待 / 和音進行 / 計算モデル / 音脈 / 時間的規則性 / 調性

Outline of Final Research Achievements

In music theory, expectancy for an upcoming musical chord, harmonic expectancy, had been supposed to be based on automatic activation of tonal knowledge. Short chord sequences which cannot lead to unique keys are difficult to interpret in this case. We examined effects of a preceding chord or preceding chords on harmonic expectancy from a computational perspective, using stochastic modeling. We also investigated how beat structures affect the perception of dotted rhythms, but the observed effects were limited. Finally, principles of music perception were examined based on previous data in the literature. Ambiguity of auditory stream formation, temporal regularity, and tonality turned out to be essential in music perception.

Free Research Field

知覚心理学