Neurocomputational modeling of speech motor development.

Autor: Meier AM; Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215., Guenther FH; Department of Speech, Language and Hearing Sciences, Boston University, Boston, MA02215.; Department of Biomedical Engineering, Boston University, Boston, MA02215.
Jazyk: angličtina
Zdroj: Journal of child language [J Child Lang] 2023 Nov; Vol. 50 (6), pp. 1318-1335. Date of Electronic Publication: 2023 Jun 20.
DOI: 10.1017/S0305000923000260
Abstrakt: 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.
Databáze: MEDLINE