Faculty of Humanities, Tilburg University, PO Box 90153, NL-5000 LE Tilburg, The Netherlands.
J Acoust Soc Am. 2010 Sep;128(3):1322-36. doi: 10.1121/1.3466853.
The important role of arousal in determining vocal parameters in the expression of emotion is well established. There is less evidence for the contribution of emotion dimensions such as valence and potency/control to vocal emotion expression. Here, an acoustic analysis of the newly developed Geneva Multimodal Emotional Portrayals corpus, is presented to examine the role of dimensions other than arousal. This corpus contains twelve emotions that systematically vary with respect to valence, arousal, and potency/control. The emotions were portrayed by professional actors coached by a stage director. The extracted acoustic parameters were first compared with those obtained from a similar corpus [Banse and Scherer (1996). J. Pers. Soc. Psychol. 70, 614-636] and shown to largely replicate the earlier findings. Based on a principal component analysis, seven composite scores were calculated and were used to determine the relative contribution of the respective vocal parameters to the emotional dimensions arousal, valence, and potency/control. The results show that although arousal dominates for many vocal parameters, it is possible to identify parameters, in particular spectral balance and spectral noise, that are specifically related to valence and potency/control.
觉醒在确定情感表达中的声音参数方面起着重要作用,这一点已得到充分证实。然而,情感维度(如效价和有力/控制)对声音情感表达的贡献则证据较少。在这里,我们对新开发的日内瓦多模态情感描绘语料库进行了声学分析,以检验除觉醒之外的其他维度的作用。该语料库包含 12 种情绪,这些情绪在效价、觉醒和有力/控制方面都有系统的变化。这些情绪由经过舞台导演指导的专业演员来描绘。提取的声学参数首先与类似语料库[Banse 和 Scherer(1996)。J. Pers. Soc. Psychol. 70, 614-636]中的参数进行了比较,并证明很大程度上复制了早期的发现。基于主成分分析,计算了七个综合得分,并用于确定各自的声音参数对觉醒、效价和有力/控制等情感维度的相对贡献。结果表明,尽管许多声音参数都主要与觉醒有关,但仍有可能确定与效价和有力/控制特别相关的参数,特别是频谱平衡和频谱噪声。