Neurocomputational modeling of speech motor development.

IF 1.7 2区 文学 Q1 LINGUISTICS
Journal of Child Language Pub Date : 2023-11-01 Epub Date: 2023-06-20 DOI:10.1017/S0305000923000260
Andrew M Meier, Frank H Guenther
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引用次数: 0

Abstract

This review describes a computational approach for modeling the development of speech motor control in infants. We address the development of two levels of control: articulation of individual speech sounds (defined here as phonemes, syllables, or words for which there is an optimized motor program) and production of sound sequences such as phrases or sentences. We describe the DIVA model of speech motor control and its application to the problem of learning individual sounds in the infant's native language. Then we describe the GODIVA model, an extension of DIVA, and how chunking of frequently produced phoneme sequences is implemented within it.

言语运动发展的神经计算建模。
这篇综述描述了一种用于模拟婴儿言语运动控制发展的计算方法。我们讨论了两个控制水平的发展:单个语音的发音(此处定义为音素、音节或有优化运动程序的单词)和短语或句子等声音序列的产生。我们描述了言语运动控制的DIVA模型及其在婴儿母语学习个别声音问题中的应用。然后,我们描述了GODIVA模型,DIVA的扩展,以及如何在其中实现频繁产生的音素序列的分块。
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
4.70
自引率
4.50%
发文量
142
期刊介绍: A key publication in the field, Journal of Child Language publishes articles on all aspects of the scientific study of language behaviour in children, the principles which underlie it, and the theories which may account for it. The international range of authors and breadth of coverage allow the journal to forge links between many different areas of research including psychology, linguistics, cognitive science and anthropology. This interdisciplinary approach spans a wide range of interests: phonology, phonetics, morphology, syntax, vocabulary, semantics, pragmatics, sociolinguistics, or any other recognised facet of language study.
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