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言语声音的内隐和外显分类——行为和神经生理数据的分离。

Implicit and explicit categorization of speech sounds--dissociating behavioural and neurophysiological data.

机构信息

Psychological Institute II, University of Muenster, 48149 Münster, Germany.

出版信息

Eur J Neurosci. 2009 Jul;30(2):339-46. doi: 10.1111/j.1460-9568.2009.06826.x. Epub 2009 Jul 15.

Abstract

During speech perception, sound is mapped onto abstract phonological categories. Assimilation of place or manner of articulation in connected speech challenges this categorization. Does assimilation result in categorizations that need to be corrected later on, or does the system get it right immediately? Participants were presented with isolated nasals (/m/ labial, /n/ alveolar, and /n'/ assimilated towards labial place of articulation), extracted from naturally produced German utterances. Behavioural two-alternative forced-choice tasks showed that participants could correctly categorize the /n/s and /m/s. The assimilated nasals were predominantly categorized as /m/, indicative of a perceived change in place. A pitch variation additively influenced the categorizations. Using magnetoencephalography (MEG), we analysed the N100m elicited by the same stimuli without a categorization task. In sharp contrast to the behavioural data, this early, automatic brain response ignored the assimilation in the surface form and reflected the underlying category. As shown by distributed source modelling, phonemic differences were processed exclusively left-laterally (temporally and parietally), whereas the pitch variation was processed in temporal regions bilaterally. In conclusion, explicit categorization draws attention to the surface form - to the changed place and acoustic information. The N100m reflects automatic categorization, which exploits any hint of an underlying feature.

摘要

在语音感知过程中,声音被映射到抽象的语音类别上。在连续语音中,对发音部位或方式的同化挑战了这种分类。同化是导致需要稍后更正的分类,还是系统立即正确处理?参与者被呈现从自然产生的德语话语中提取的孤立鼻音(/m/唇音,/n/齿龈音和/n'/向唇音发音部位同化)。行为上的二选一强制选择任务表明,参与者可以正确地对/n/和/m/进行分类。同化的鼻音主要被归类为/m/,表明感知到的发音部位发生了变化。音高变化会对分类产生附加影响。使用脑磁图(MEG),我们分析了相同刺激物引发的没有分类任务的 N100m。与行为数据形成鲜明对比的是,这种早期的自动大脑反应忽略了表面形式中的同化,反映了潜在的类别。通过分布式源建模表明,音位差异仅被处理为左侧(时间和顶叶),而音高变化则被双侧颞区处理。总之,显式分类会引起对表面形式的注意——改变的发音部位和声学信息。N100m 反映了自动分类,它利用了任何潜在特征的线索。

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