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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning Barnaud, Marie-Lou; Diard, Julien; Bessière, Pierre; Schwartz, Jean-Luc In: Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02002373 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India. pp.3786-3790, ⟨10.21437/interspeech.2018-73⟩ (2018) Abstract: International audience ; During speech development, babies learn to perceive and produce speech units, especially syllables and phonemes. However , the mechanisms underlying the acquisition of speech units still remain unclear. We propose a Bayesian model of speech communication, named "COSMO SylPhon", for studying the acquisition of both syllables and phonemes. In this model, speech development involves a sensory learning phase, mainly concerned with perception development, and a motor learning phase, mainly concerned with production development. We study how an agent can learn speech units during these two phases through an unsupervised learning process based on syllable stimuli. We show that the learning process enables to efficiently learn the distribution of syllabic stimuli provided in the environment. Importantly, we show that if agents are equipped with a bootstrap process inspired by the Frame-Content Theory of speech development, they learn to associate consonants to specific articulatory gestures, providing the basis for consonantal articulatory invariance. Keyword: [SCCO.COMP]Cognitive science/Computer science; [SCCO]Cognitive science; articulatory invariance; Bayesian modeling; coarticulation; speech development; speech units URL: https://hal.archives-ouvertes.fr/hal-02002373/file/barnaud18b.pdf https://doi.org/10.21437/interspeech.2018-73 https://hal.archives-ouvertes.fr/hal-02002373 https://hal.archives-ouvertes.fr/hal-02002373/document BASE Hide details 2 Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication Barnaud, Marie-Lou; Bessière, Pierre; Diard, Julien. - : Elsevier, 2018 BASE Show details

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