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个体使用自下而上和自上而下的信息导致言语感知灵活性的差异:来自 ERP 和眼动追踪的综合证据。

Idiosyncratic use of bottom-up and top-down information leads to differences in speech perception flexibility: Converging evidence from ERPs and eye-tracking.

机构信息

Dept. of Psychological and Brain Sciences, University of Iowa, United States; DeLTA Center, University of Iowa, United States; Basque Center on Cognition, Brain and Language, Spain.

Dept. of Psychological and Brain Sciences, University of Iowa, United States; DeLTA Center, University of Iowa, United States; Dept. of Communication Sciences and Disorders, DeLTA Center, University of Iowa, United States; Dept. of Linguistics, DeLTA Center, University of Iowa, United States.

出版信息

Brain Lang. 2021 Dec;223:105031. doi: 10.1016/j.bandl.2021.105031. Epub 2021 Oct 8.

Abstract

Listeners generally categorize speech sounds in a gradient manner. However, recent work, using a visual analogue scaling (VAS) task, suggests that some listeners show more categorical performance, leading to less flexible cue integration and poorer recovery from misperceptions (Kapnoula et al., 2017, 2021). We asked how individual differences in speech gradiency can be reconciled with the well-established gradiency in the modal listener, showing how VAS performance relates to both Visual World Paradigm and EEG measures of gradiency. We also investigated three potential sources of these individual differences: inhibitory control; lexical inhibition; and early cue encoding. We used the N1 ERP component to track pre-categorical encoding of Voice Onset Time (VOT). The N1 linearly tracked VOT, reflecting a fundamentally gradient speech perception; however, for less gradient listeners, this linearity was disrupted near the boundary. Thus, while all listeners are gradient, they may show idiosyncratic encoding of specific cues, affecting downstream processing.

摘要

听众通常以渐变的方式对语音进行分类。然而,最近的研究使用视觉模拟标度(VAS)任务表明,一些听众表现出更具分类的性能,导致线索整合的灵活性降低,并且对感知错误的恢复能力较差(Kapnoula 等人,2017 年,2021 年)。我们想知道如何将语音渐变的个体差异与模式听众中已确立的渐变相协调,展示 VAS 性能如何与视觉世界范式和 EEG 渐变测量相关。我们还研究了这些个体差异的三个潜在来源:抑制控制;词汇抑制;和早期线索编码。我们使用 N1 ERP 成分来跟踪语音起始时间(VOT)的前分类编码。N1 线性跟踪 VOT,反映了基本的渐变语音感知;然而,对于渐变较小的听众,这种线性在边界附近会中断。因此,虽然所有听众都是渐变的,但他们可能会对特定线索进行独特的编码,从而影响下游处理。

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