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一项关于自发言语中回归性位置同化及其对口语单词识别影响的研究。

A study of regressive place assimilation in spontaneous speech and its implications for spoken word recognition.

作者信息

Dilley Laura C, Pitt Mark A

机构信息

Department of Psychology, Ohio State University, 1835 Neil Ave., Columbus, OH 43220, USA.

出版信息

J Acoust Soc Am. 2007 Oct;122(4):2340-53. doi: 10.1121/1.2772226.

Abstract

Regressive place assimilation is a form of pronunciation variation in which a word-final alveolar sound takes the place of articulation of a following labial or velar sound, as when green boat is pronounced greem boat. How listeners recover the intended word (e.g., green, given greem) has been a major focus of spoken word recognition theories. However, the extent to which this variation occurs in casual, unscripted speech has previously not been reported. Two studies of pronunciation variation were conducted using a spontaneous speech corpus. First, phonetic labeling data were used to identify contexts in which assimilation could occur, namely, when a word-final alveolar stop (/t/, /d/, or /n/) was followed by a velar or labial consonant. Assimilation was indicated relatively infrequently, while deletion, glottalization, or canonical pronunciations were more often indicated. Moreover, lexical frequency was shown to affect pronunciation; high frequency lexical items showed more types of variation. Second, acoustic analyses showed that neither place of articulation cues (indicated by second formant variation) nor relative amplitude was sufficient to distinguish assimilated from deleted and canonical variants; only when closure duration was additionally taken into account were these three variant types distinguishable. Implications for theories of word recognition are discussed.

摘要

逆向位置同化是一种发音变化形式,在这种形式中,词尾的齿龈音取代了后续唇音或软腭音的发音位置,例如当“green boat”发音为“greem boat”时。听众如何识别出预期的单词(例如,给定“greem”时识别出“green”)一直是口语单词识别理论的主要关注点。然而,这种变化在随意的、无脚本的 speech 中出现的程度此前尚未有报道。使用自发 speech 语料库进行了两项关于发音变化的研究。首先,语音标注数据被用于识别可能发生同化的语境,即当词尾的齿龈塞音(/t/、/d/或/n/)后面跟着软腭音或唇音辅音时。同化出现的频率相对较低,而删除、声门化或标准发音出现的频率更高。此外,词汇频率被证明会影响发音;高频词汇项目表现出更多类型的变化。其次,声学分析表明,发音位置线索(由第二共振峰变化表示)和相对振幅都不足以区分同化变体与删除变体和标准变体;只有当额外考虑闭塞持续时间时,这三种变体类型才能区分开来。文中讨论了对单词识别理论的启示。

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