Regular updates of internal sensory predictions drive sensorimotor adaptation in optimization-based models of speech production

This paper presents a version of an optimization-based model of speech production that reproduces key acoustic and articulatory features of sensorimotor adaptation to altered sensory feedback. In the presented approach, the mechanism of sensorimotor adaptation is solely driven by independently motivated regular updates, based on the sensory feedback perceived by the speaker, of two of the speakers' internal models used for computing (near)-optimal articulation. These internal models predict acou