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将情绪映射到声学空间:声音产生的作用。

Mapping emotions into acoustic space: the role of voice production.

机构信息

Swiss Center for Affective Sciences (CISA), University of Geneva, 7 Rue des Battoirs, CH-1205 Geneva, Switzerland.

出版信息

Biol Psychol. 2011 Apr;87(1):93-8. doi: 10.1016/j.biopsycho.2011.02.010. Epub 2011 Feb 24.

Abstract

Research on the vocal expression of emotion has long since used a "fishing expedition" approach to find acoustic markers for emotion categories and dimensions. Although partially successful, the underlying mechanisms have not yet been elucidated. To illustrate that this research can profit from considering the underlying voice production mechanism, we specifically analyzed short affect bursts (sustained/a/vowels produced by 10 professional actors for five emotions) according to physiological variations in phonation (using acoustic parameters derived from the acoustic signal and the inverse filter estimated voice source waveform). Results show significant emotion main effects for 11 of 12 parameters. Subsequent principal components analysis revealed three components that explain acoustic variations due to emotion, including "tension," "perturbation," and "voicing frequency." These results suggest that future work may benefit from theory-guided development of parameters to assess differences in physiological voice production mechanisms in the vocal expression of different emotions.

摘要

情感的语音表达研究早已采用“捞针式”的方法来寻找情感类别和维度的声学标志物。尽管取得了部分成功,但潜在的机制尚未阐明。为了说明这种研究可以从考虑潜在的语音产生机制中获益,我们根据发声的生理变化(使用源自声信号的声学参数和估计的声源波形的逆滤波器),专门分析了短的情感爆发(由 10 位专业演员发出的持续/a/元音,用于 5 种情感)。结果表明,在 12 个参数中有 11 个表现出显著的情感主效应。随后的主成分分析揭示了三个成分,它们解释了由于情感而产生的声学变化,包括“张力”、“扰动”和“发声频率”。这些结果表明,未来的工作可能受益于理论指导下的参数开发,以评估不同情感的语音表达中生理语音产生机制的差异。

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