Neurocomputational modeling of speech motor development
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Published version
Date
2023-04-13
Authors
Meier, Andrew M.
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Published version
OA Version
Citation
MEIER AM, GUENTHER FH. Neurocomputational modeling of speech motor development. Journal of Child Language. 2023;50(6):1318-1335. doi:10.1017/S0305000923000260
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.
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License
Copyright © The Author(s), 2023. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. This article has been published under a Read & Publish Transformative Open Access (OA) Agreement with CUP.