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Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.sorbonne-universite.fr/hal-01994708 ; PLoS ONE, Public Library of Science, 2019, 14 (1), pp.e0210302. ⟨10.1371/journal.pone.0210302⟩ (2019)
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COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning
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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)
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Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication
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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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In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.archives-ouvertes.fr/hal-01230175 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5-41. ⟨10.1016/j.wocn.2015.06.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000352 (2015)
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COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception
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In: 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob) ; https://hal.archives-ouvertes.fr/hal-02004350 ; 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Aug 2015, Providence, RI, United States (2015)
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Modeling concurrent development of speech perception and production in a Bayesian framework
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In: WILD 2015 - 2nd Workshop on Infant Language Development ; https://hal.archives-ouvertes.fr/hal-01202417 ; WILD 2015 - 2nd Workshop on Infant Language Development, Jun 2015, Stockholm, Sweden (2015)
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Multi-scale Bayesian modeling for RTS games: an application to StarCraft AI
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In: ISSN: 1943-068X ; EISSN: 1943-0698 ; IEEE Transactions on Computational Intelligence and AI in games ; https://hal.archives-ouvertes.fr/hal-01228961 ; IEEE Transactions on Computational Intelligence and AI in games, IEEE Computational Intelligence Society, 2015, ⟨10.1109/TCIAIG.2015.2487743⟩ (2015)
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Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception
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In: ISSN: 0140-525X ; EISSN: 1469-1825 ; Behavioral and Brain Sciences ; https://hal.archives-ouvertes.fr/hal-00765973 ; Behavioral and Brain Sciences, Cambridge University Press (CUP), 2013, 36 (4), pp.36-37 (2013)
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A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables
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In: Proceedings of Interspeech ; Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-00827885 ; Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France. pp.2797-2801 (2013)
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Adverse conditions improve distinguishability of auditory, motor and perceptuo-motor theories of speech perception: an exploratory Bayesian modeling study
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In: ISSN: 0169-0965 ; EISSN: 1464-0732 ; Language and Cognitive Processes ; https://hal.archives-ouvertes.fr/hal-01059179 ; Language and Cognitive Processes, Taylor & Francis (Routledge), 2012, 27 (7-8), pp.1240-1263. ⟨10.1080/01690965.2011.645313⟩ (2012)
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COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2012, volume 1 : JEP ; JEP-TALN-RECITAL 2012 - conférence conjointe 29e Journées d'Études sur la Parole, 19e Traitement Automatique des Langues Naturelles, 14e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues ; https://hal.archives-ouvertes.fr/hal-00827889 ; JEP-TALN-RECITAL 2012 - conférence conjointe 29e Journées d'Études sur la Parole, 19e Traitement Automatique des Langues Naturelles, 14e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Jun 2012, Grenoble, France. pp.305-312 (2012)
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Noise and inter‐speaker variability improve distinguishability of auditory, motor and perceptuo‐motor theories of speech perception : An exploratory Bayesian modeling study
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In: ISSP 2011 - 9th International Seminar on Speech Production ; https://hal.archives-ouvertes.fr/hal-00827892 ; ISSP 2011 - 9th International Seminar on Speech Production, Jun 2011, Montréal, Canada. pp.n/c (2011)
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Abstract:
International audience ; A central issue in speech science concerns the nature of representations and processes involved in communication. Three major sets of theories have been widely argued for and against in this long-standing debate : motor, auditory and perceptuo-motor theories. Arguments have so far mostly been based on experimental data about variability and invariance (coarticulation phenomena supposedly in favor of motor theories ; or motor equivalence principles supposedly in favor of auditory theories ; or co-structuration of the perceptual and motor repertories in the Perception-for-Action-Control Theory, PACT. However, none of these observed isolated properties and their associated arguments are decisive, and the theoretical debate appears to be stagnating. It is our belief that mathematical modeling of these theories could provide breakthroughs in this regard. More precisely, we propose that casting these theories into a single, unified mathematical framework would be the most efficient way of comparing the theories and their properties in a systematic manner. Bayesian modeling is a mathematical framework that precisely allows such comparisons. The trick is that the same tool, namely probabilities, can be used both for defining the models and for comparing them. Such comparisons are more and more widespread in cognitive science ; see for instance the recent works on causal inference and probability matching strategies in multimodal perception, or on theoretical comparison of memory models. Moreover, the use of a unified framework implies that common hypotheses would have common mathematical translations. This also helps toward more principled studies of the competing theories. In our integrative approach, we thus cast the motor, auditory and perceptuo-motor theories into one unifying Bayesian framework in which they all appear as instances of various questions asked to one probabilistic communication model. This allows to compare these theories through quantitative testing in various paradigms.
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Keyword:
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; [SCCO.PSYC]Cognitive science/Psychology; Bayesian Programming; cognitive theories; computational model; speech perception
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URL: https://hal.archives-ouvertes.fr/hal-00827892
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La Programmation Bayésienne d'un modèle computationnel intégrateur permet de comparer uniformément les différentes théories cognitives de la perception de la parole
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In: RJCP 2011 - 9ème Rencontres des Jeunes Chercheurs en Parole ; https://hal.archives-ouvertes.fr/hal-00827894 ; RJCP 2011 - 9ème Rencontres des Jeunes Chercheurs en Parole, May 2011, Grenoble, France (2011)
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Emergence of articulatory-acoustic systems from deictic interaction games in a "vocalize to localize" framework
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In: Primate communication and human language: Vocalisations, gestures, imitation and deixis in humans and non-humans ; https://hal.archives-ouvertes.fr/hal-00961125 ; Anne Vilain and Jean-Luc Schwartz and Christian Abry and Jacques Vauclair. Primate communication and human language: Vocalisations, gestures, imitation and deixis in humans and non-humans, John Benjamins Pub. Co., pp.193-220, 2011, Advances in Interaction Studies (2011)
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Simple Combinatorial Considerations Challenge Ruhlen's Mother Tongue Theory
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In: The syllable in Speech Production - Perspectives on the Frame Content Theory ; https://hal.archives-ouvertes.fr/hal-00214293 ; Barbara L. Davis and Krisztina Zajdo. The syllable in Speech Production - Perspectives on the Frame Content Theory, Taylor and Francis, pp.132--154, 2008 (2008)
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