音色和影响维度:来自孤立乐器声音的影响和相似等级和声学相关性的证据

IF 1.3 2区 心理学 0 MUSIC
T. Eerola, R. Ferrer, Vinoo Alluri
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引用次数: 81

摘要

在理解声学和结构特征如何促进音乐中的情感表达方面,人们付出了相当大的努力,但相对而言,很少有人关注音色在这一过程中的作用。我们的目的是通过三个行为实验来研究音色在孤立的音乐声音中对情感维度的感知中的作用。在实验1中,参与者使用三维情感模型(效价、能量唤醒和紧张唤醒)、偏好和情绪强度来评估110种在持续时间、音高和动态上相同的乐器声音的感知影响。在实验2中,为了更好地揭示潜在的情感结构,我们对实验1中使用的乐器声音子集进行了情绪差异任务。在实验3中,被试对一组新的105种乐器声音的感知影响维度以及偏好和强度进行评分。这些声音在音高、持续时间和重放动态方面也是一致的,但在声音产生、发音和高频与低频能量的比例方面包含系统的动态操作。然后,根据提取的三种声学特征来解释所有实验的影响维度:光谱(如高频与低频能量的比率)、时间(如攻击斜率)和光谱-时间(如光谱通量)。在实验中,参与者评分的高度一致表明,即使是孤立的乐器声音也包含着表明情感表达的线索,而这些线索也能被听众识别出来。情感的两个维度(效价和能量唤醒)的主导部分(50-57%)可以通过一些声学特征的线性组合来预测,如高频与低频能量的比率、攻击斜率和频谱规律性。讨论了这些特征与在情感的声音表达和其他声音现象中观察到的特征之间的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timbre and Affect Dimensions: Evidence from Affect and Similarity Ratings and Acoustic Correlates of Isolated Instrument Sounds
considerable effort has been made towards understanding how acoustic and structural features contribute to emotional expression in music, but relatively little attention has been paid to the role of timbre in this process. Our aim was to investigate the role of timbre in the perception of affect dimensions in isolated musical sounds, by way of three behavioral experiments. In Experiment 1, participants evaluated perceived affects of 110 instrument sounds that were equal in duration, pitch, and dynamics using a three-dimensional affect model (valence, energy arousal, and tension arousal) and preference and emotional intensity. In Experiment 2, an emotional dissimilarity task was applied to a subset of the instrument sounds used in Experiment 1 to better reveal the underlying affect structure. In Experiment 3, the perceived affect dimensions as well as preference and intensity of a new set of 105 instrument sounds were rated by participants. These sounds were also uniform in pitch, duration, and playback dynamics but contained systematic manipulations in the dynamics of sound production, articulation, and ratio of high-frequency to low-frequency energy. The affect dimensions for all the experiments were then explained in terms of the three kinds of acoustic features extracted: spectral (e.g., ratio of high-frequency to low-frequency energy), temporal (e.g., attack slope), and spectro-temporal (e.g., spectral flux). High agreement among the participants9 ratings across the experiments suggested that even isolated instrument sounds contain cues that indicate affective expression, and these are recognized as such by the listeners. A dominant portion (50-57%) of the two dimensions of affect (valence and energy arousal) could be predicted by linear combinations of few acoustic features such as ratio of high-frequency to low-frequency energy, attack slope, and spectral regularity. Links between these features and those observed in the vocal expression of affects and other sound phenomena are discussed.
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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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