Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication

• Both the Bayesian and optimal control models correctly infer control variables satisfying the constraints of the speech task. In addition, results are consistent with each other

Then, we use COSMO to implement audio [8], motor [9, 10] and perceptuo-motor [11] theories of speech perception, and to compare them on a task of categorization, under various levels

Supposing that idiosyncrasies appear during the development of the motor system, we present two versions of the motor learning phase, both based on the guidance of an agent master:

In this study, we investigate unsupervised learning for the acquisition of motor and sensory repertoires in the case of syllable and phonemic speech

In agreement with data on speech development [4], we consider that learning involves a sensory phase followed by a sensory-motor phase.. In this paper, we show preliminary

local extrapolation which generalizes sensorimotor observa- tions to a neighborhood of each selected motor command, and idiosyncratic babbling which aims at favoring motor commands

We first observe that, according to the definition of our model and contrary to the claim in C-2016, production and perception tasks result in three distinct computed

An obvious challenge, of course, is to bridge the gap between computational approaches such as ours, which are usually restricted to isolated syllable production and perception,