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动态重新加权口语识别中的声学和语境线索。

Dynamic re-weighting of acoustic and contextual cues in spoken word recognition.

机构信息

Department of Brain and Cognitive Sciences, University of Rochester, Rochester, New York 14627,

出版信息

J Acoust Soc Am. 2019 Aug;146(2):EL135. doi: 10.1121/1.5119271.

Abstract

Listeners integrate acoustic and contextual cues during word recognition. However, experiments investigating this integration disrupt natural cue correlations. It was investigated whether changes in correlational structure affect listeners' relative cue weightings. Two groups of participants engaged in a word recognition task. In one group, acoustic (voice onset time) and contextual (lexical bias) cues followed natural correlations; in the other, cues were uncorrelated. When cues were correlated, cue weights were stable throughout the experiment; when cues were uncorrelated, contextual cues were down-weighted. Listeners thus can re-weight cues based on their statistical structure. Studies failing to account for re-weighting risk over/under-estimating cue importance.

摘要

听者在识别单词时会整合声音和语境线索。然而,研究这种整合的实验会破坏自然线索的相关性。本研究旨在探讨关联结构的变化是否会影响听者相对线索的权重。两组参与者参与了一项单词识别任务。在一组中,声音(嗓音起始时间)和语境(词汇偏向)线索遵循自然相关性;在另一组中,线索是不相关的。当线索相关时,整个实验过程中的线索权重保持稳定;当线索不相关时,语境线索的权重会降低。因此,听者可以根据线索的统计结构重新分配权重。如果研究没有考虑到权重的重新分配,就有可能高估或低估线索的重要性。

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