言语运动发育的神经计算建模。
Neurocomputational modeling of speech motor development.
机构信息
Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215.
Department of Biomedical Engineering, Boston University, Boston, MA02215.
出版信息
J Child Lang. 2023 Nov;50(6):1318-1335. doi: 10.1017/S0305000923000260. Epub 2023 Jun 20.
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.
摘要
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。我们探讨了两个层次的控制的发展：个体言语声音的发音（这里定义为具有优化运动程序的音素、音节或单词）和声音序列的产生，例如短语或句子。我们描述了 DIVA 言语运动控制模型及其在婴儿母语中学习单个声音的问题中的应用。然后，我们描述了 GODIVA 模型，即 DIVA 的扩展，以及如何在其中实现经常产生的音素序列的分块。
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