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Perceptual processes and emotional responses of music: cross-cultural investigation and cognitive modeling

音乐的感知过程和情感反应：跨文化调查和认知建模

基本信息

批准号：
15200019
负责人：
ABE Jun-ichi
金额：
$ 32.03万
依托单位：
Hokkaido University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (A)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2006
项目状态：
已结题

项目摘要

This research project investigated the perceptual processes and emotional responses of music. We especially focused on the tonal organization processes of music, and executed several experimental studies on that processes as follows.Pitch set appears to serve as a primary cue for key identification of a melody. Previous studies have proposed additional sequence properties in a melody (e.g., augmented fourth, the diminished fifth, perfect fifth and so on) that may function as further cues, however, the role of the latter in key identification is controversial. One of our experimental studies was designed to investigate what kinds of sequence properties, i.e., local properties, if any, function as reliable cues for key identification. Listeners were asked to identify keys for 450 melodies that consisted of the same pitch set but differed in sequential constraints. Using multiple discriminant analyses, we evaluated relative contributions of as many kinds of local sequence properties as possible (e.g., single intervals, single intervals in each sequential position, single pitch classes in each sequential position, and so on). The results showed that, except for the pitch class of the final tone, for which interpretation should be taken cautiously, none of local sequence properties examined contributed significantly to key identification. This finding suggests that, contrary to prior findings, key identification is derived from unidentified properties other than the specific sequence properties.

本研究旨在探讨音乐的知觉过程与情绪反应。我们特别关注音乐的音调组织过程，并对该过程进行了以下几项实验研究：音高集似乎是旋律基调识别的主要线索。先前的研究已经提出了旋律中的附加序列属性（例如，增四度、减五度、完全五度等），但后者在调识别中的作用存在争议。我们的一项实验研究旨在研究什么样的序列特性，即，局部属性（如果有的话）用作密钥识别的可靠线索。听众被要求识别450个旋律的键，这些旋律由相同的音高设置组成，但顺序约束不同。使用多重判别分析，我们评估了尽可能多的局部序列特性的相对贡献（例如，单个音程、每个顺序位置中的单个音程、每个顺序位置中的单个音高类等）。结果表明，除了声调的音高类别，应采取谨慎的解释，没有本地序列特性的检查有助于关键识别。这一发现表明，与先前的发现相反，关键识别来自于特定序列特性之外的未识别特性。