Flexible voices: Identity perception from variable vocal signals.
Flexible voices: Identity perception from variable vocal signals.
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DOI：
10.3758/s13423-018-1497-7
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发表时间：
2019-03
影响因子：
3.5
通讯作者：
McGettigan C
中科院分区：
文献类型：
--
作者：
Lavan N;Burton AM;Scott SK;McGettigan C
人的声音是千变万化的：同一个人的声音听起来可能会因说话、大笑、喊叫或耳语而大不相同。为了从声音中成功识别一个人，听者需要能够概括这些不同的声音信号（“一起告诉别人”）。然而，到目前为止，在大多数关于语音身份处理的研究中，通过使用高度控制的刺激，消除了人与人之间的实质性差异，从而关注我们如何区分人。我们认为，这通过控制声音刺激的一个基本特征（可能包括诊断信息）来模糊我们对声音身份处理的理解。在本文中，我们建议我们需要扩展语音身份研究的重点，以同时考虑“将人放在一起”和“将人分开”。也就是说，我们必须考虑听众是否以及在多大程度上能够克服个人内部的变化，从而从声音线索中获得对个人身份的稳定感知。要做到这一点，我们的理论和方法框架需要调整，以明确地包括对个人变异的研究。
Human voices are extremely variable: The same person can sound very different depending on whether they are speaking, laughing, shouting or whispering. In order to successfully recognise someone from their voice, a listener needs to be able to generalize across these different vocal signals (‘telling people together’). However, in most studies of voice-identity processing to date, the substantial within-person variability has been eliminated through the use of highly controlled stimuli, thus focussing on how we tell people apart. We argue that this obscures our understanding of voice-identity processing by controlling away an essential feature of vocal stimuli that may include diagnostic information. In this paper, we propose that we need to extend the focus of voice-identity research to account for both “telling people together” as well as “telling people apart.” That is, we must account for whether, and to what extent, listeners can overcome within-person variability to obtain a stable percept of person identity from vocal cues. To do this, our theoretical and methodological frameworks need to be adjusted to explicitly include the study of within-person variability.
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