Perception of voicing and place of articulation in labial and alveolar English stop consonants

IF 1.3 2区 文学 0 LANGUAGE & LINGUISTICS
N. Silbert
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引用次数: 8

Abstract

Abstract Distinctive features define a multidimensional structure that must be implemented in speech production and perception. A multilevel Gaussian General Recognition Theory model is presented as a model of multidimensional feature perception. The model is fit to data from three experiments probing identification of noise-masked, naturally-produced labial and alveolar English stop consonants [p], [b], [t], and [d] in onset (syllable-initial) and coda (syllable-final) position. The results indicate systematic perceptual deviations from simple place and voicing structure in individual subjects and at the group level. Comparing onset and coda positions shows that syllable position modulates the deviation patterns, and comparing speech-shaped noise and multi-talker babble indicates that deviations from simple feature structure are reasonably robust to variation in noise characteristics. Possible causes of the observed perceptual confusion patterns are discussed, and extensions of this work to studies of feature structure in speech production and investigation of non-native speech perception are briefly outlined.
对英语唇部和肺泡顿音的发音和发音位置的感知
特征定义了语音生成和感知过程中必须实现的多维结构。提出了一种多层高斯广义识别理论模型作为多维特征感知模型。该模型适合于三个实验的数据,这些实验探讨了在起音(音节初始)和尾音(音节最终)位置上识别被噪声掩盖的、自然产生的英语唇形和肺泡顿音[p]、[b]、[t]和[d]。结果表明,在个体和群体层面上,对简单的位置和发声结构的感知存在系统性偏差。起音和尾音位置的比较表明,音节位置调节了偏差模式,而语音噪声和多语人的牙牙学语的比较表明,简单特征结构的偏差对噪声特征的变化具有相当的鲁棒性。讨论了观察到的感知混淆模式的可能原因,并简要概述了这项工作的扩展到语音产生中的特征结构研究和非母语语音感知的调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
6.70%
发文量
17
审稿时长
8 weeks
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