COSMO (“Communicating about Objects using Sensory–Motor Operations”): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems

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Our goal is to understand how sensory preferences can operate during speech production and influence it, by using our recently designed Bayesian model of speech motor planning.. To

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

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

Considering results in perception and production, our simulations indicate that three combined perception- adaptation hypotheses can reproduce the characteristics of the

We have implemented sensory preference in this model by modulating the relative involvement of sensory modalities with two different approaches: (1) the Target- based approach,

Auditory, Motor and Perceptuo-motor theories of speech communication, Bayesian modeling, speech perception in adverse conditions, model distinguishability.. To cite