基于感知的音乐表达术语分类

IF 1.3 2区 心理学 0 MUSIC Music Perception Pub Date : 2019-12-01 DOI:10.1525/mp.2019.37.2.147
Aviel Sulem, E. Bodner, N. Amir
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引用次数: 4

摘要

表达性音乐术语(emt)通常被作曲家用来描述音乐表现力和表演者被要求传达的特征。根据专业音乐表演者的感知,我们建议对其中的55个术语进行分类:1)将考虑的emt组织在二维平面上,以一种接近度反映相似性的方式;2)采用7级李克特量表,根据效价、觉醒、外向性和神经质程度对emt进行评分。使用最小化程序,我们发现一个令人满意的划分要求这些急救医生被组织在四个集群中(其质心与温柔、快乐、愤怒和悲伤有关),这些集群位于罗素(1980)开发的情感循环模型的价-觉醒平面的四个季度。根据Watson和Tellegen(1985)引入的相关正负激活参数,我们得到了正激活与外向性、负激活与神经质之间的显著相关性。这表明,沃森和克拉克(1992)之前在人格研究中观察到的这些关系延伸到了音乐领域。
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Perception-Based Classification of Expressive Musical Terms
Expressive Musical Terms (EMTs) are commonly used by composers as verbal descriptions of musical expressiveness and characters that performers are requested to convey. We suggest a classification of 55 of these terms, based on the perception of professional music performers who were asked to: 1) organize the considered EMTs in a two-dimensional plane in such a way that proximity reflects similarity; and 2) rate these EMTs according to valence, arousal, extraversion, and neuroticism, using 7-level Likert scales. Using a minimization procedure, we found that a satisfactory partition requires these EMTs to be organized in four clusters (whose centroids are associated with tenderness, happiness, anger, and sadness) located in the four quarters of the valence-arousal plane of the circumplex model of affect developed by Russell (1980). In terms of the related positive-negative activation parameters, introduced by Watson and Tellegen (1985), we obtained a significant correlation between positive activation and extraversion and between negative activation and neuroticism. This demonstrates that these relations, previously observed in personality studies by Watson & Clark (1992a), extend to the musical field.
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来源期刊
Music Perception
Music Perception Multiple-
CiteScore
3.70
自引率
4.30%
发文量
22
期刊介绍: Music Perception charts the ongoing scholarly discussion and study of musical phenomena. Publishing original empirical and theoretical papers, methodological articles and critical reviews from renowned scientists and musicians, Music Perception is a repository of insightful research. The broad range of disciplines covered in the journal includes: •Psychology •Psychophysics •Linguistics •Neurology •Neurophysiology •Artificial intelligence •Computer technology •Physical and architectural acoustics •Music theory
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