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打破语音身份认知:富有表现力的声音对听众来说更易混淆。

Breaking voice identity perception: Expressive voices are more confusable for listeners.

作者信息

Lavan Nadine, Burston Luke Fk, Ladwa Paayal, Merriman Siobhan E, Knight Sarah, McGettigan Carolyn

机构信息

1 Department of Speech, Hearing and Phonetic Sciences, University College London, London, UK.

2 Department of Psychology, Royal Holloway, University of London, London, UK.

出版信息

Q J Exp Psychol (Hove). 2019 Sep;72(9):2240-2248. doi: 10.1177/1747021819836890. Epub 2019 Mar 21.

Abstract

The human voice is a highly flexible instrument for self-expression, yet voice identity perception is largely studied using controlled speech recordings. Using two voice-sorting tasks with naturally varying stimuli, we compared the performance of listeners who were familiar and unfamiliar with the TV show . Listeners organised audio clips of speech with (1) low-expressiveness and (2) high-expressiveness into perceived identities. We predicted that increased expressiveness (e.g., shouting, strained voice) would significantly impair performance. Overall, while unfamiliar listeners were less able to generalise identity across exemplars, the two groups performed equivalently well when telling voices apart when dealing with low-expressiveness stimuli. However, high vocal expressiveness significantly impaired telling apart in both the groups: this led to increased , where sounds from one character were assigned to the other. These misidentifications were highly consistent for familiar listeners but less consistent for unfamiliar listeners. Our data suggest that vocal flexibility has powerful effects on identity perception, where changes in the acoustic properties of vocal signals introduced by expressiveness lead to effects apparent in familiar and unfamiliar listeners alike. At the same time, expressiveness appears to have affected other aspects of voice identity processing selectively in one listener group but not the other, thus revealing complex interactions of stimulus properties and listener characteristics (i.e., familiarity) in identity processing.

摘要

人类的声音是一种用于自我表达的高度灵活的工具,然而语音身份感知在很大程度上是通过受控语音录音来研究的。我们使用两个具有自然变化刺激的语音分类任务,比较了熟悉和不熟悉该电视节目的听众的表现。听众将(1)低表现力和(2)高表现力的语音音频片段组织成可感知的身份。我们预测,表现力的增强(例如,大喊、声音紧张)会显著损害表现。总体而言,虽然不熟悉的听众在跨示例归纳身份方面能力较差,但在处理低表现力刺激时辨别声音时,两组表现相当。然而,高语音表现力在两组中都显著损害了辨别能力:这导致了错误识别的增加,即一个角色的声音被归到另一个角色身上。对于熟悉的听众来说,这些错误识别非常一致,但对于不熟悉的听众来说则不太一致。我们的数据表明,语音灵活性对身份感知有强大影响,表现力所引入的语音信号声学特性变化在熟悉和不熟悉的听众中都会产生明显影响。同时,表现力似乎在一个听众群体中选择性地影响了语音身份处理的其他方面,而在另一个群体中则没有,从而揭示了身份处理中刺激特性和听众特征(即熟悉程度)的复杂相互作用。

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