Pierre Bessiere

Documents

Publications

julien-diard

	Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication Marie-Lou Barnaud , Jean-Luc Schwartz , Pierre Bessière , Julien Diard PLoS ONE, 2019, 14 (1), pp.e0210302. ⟨10.1371/journal.pone.0210302⟩ Article dans une revue hal-01994708v1
	Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication Marie-Lou Barnaud , Pierre Bessière , Julien Diard , Jean-Luc Schwartz Brain and Language, 2017, 187, pp.19-32. ⟨10.1016/j.bandl.2017.12.003⟩ Article dans une revue hal-01669961v1
	The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception Raphaël Laurent , Marie-Lou Barnaud , Jean-Luc Schwartz , Pierre Bessière , Julien Diard Psychological Review, 2017, 124 (5), pp.572-602. ⟨10.1037/rev0000069⟩ Article dans une revue hal-01484383v2
	Phonology in the mirror Jean-Luc Schwartz , Marie-Lou Barnaud , Pierre Bessière , Julien Diard , Clément Moulin-Frier Physics of Life Reviews, 2016, 16, pp.93-95. ⟨10.1016/j.plrev.2016.01.007⟩ Article dans une revue hal-01262293v1
	Modèles probabilistes formels pour problèmes cognitifs usuels Pierre Bessière , Julien Diard , Francis Colas Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), 2016, Nouvelles approches en robotique cognitive, 65 (1), pp.111-141. ⟨10.3406/intel.2016.1792⟩ Article dans une revue hal-01345697v1
	COSMO (“Communicating about Objects using Sensory–Motor Operations”): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems Clément Moulin-Frier , Julien Diard , Jean-Luc Schwartz , Pierre Bessière Journal of Phonetics, 2015, 53, pp.5-41. ⟨10.1016/j.wocn.2015.06.001⟩ Article dans une revue hal-01230175v1
	Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception Raphaël Laurent , Clément Moulin-Frier , Pierre Bessière , Jean-Luc Schwartz , Julien Diard Behavioral and Brain Sciences, 2013, 36 (4), pp.36-37 Article dans une revue hal-00765973v1
	Spatial memory of paths using circular probability distributions: Theoretical properties, navigation strategies and orientation cue combination Julien Diard , Pierre Bessière , Alain Berthoz Spatial Cognition and Computation, 2013, 13 (3), pp.219-257. ⟨10.1080/13875868.2012.756490⟩ Article dans une revue hal-00834483v1
	Adverse conditions improve distinguishability of auditory, motor and perceptuo-motor theories of speech perception: an exploratory Bayesian modeling study Clément Moulin-Frier , Raphaël Laurent , Pierre Bessière , Jean-Luc Schwartz , Julien Diard Language and Cognitive Processes, 2012, 27 (7-8), pp.1240-1263. ⟨10.1080/01690965.2011.645313⟩ Article dans une revue hal-01059179v1
	Bayesian Action-Perception Computational Model: Interaction of Production and Recognition of Cursive Letters Estelle Gilet , Julien Diard , Pierre Bessiere PLoS ONE, 2011, 6 (6), pp.e20387. ⟨10.1371/journal.pone.0020387⟩ Article dans une revue hal-00645868v1
	Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment Julien Diard , Estelle Gilet , Eva Simonin , Pierre Bessiere Connection Science, 2010, 22 (4), pp.291-312. ⟨10.1080/09540091003682561⟩ Article dans une revue hal-00537809v1
	Common bayesian models for common cognitive issues Francis Colas , Julien Diard , Pierre Bessiere Acta Biotheoretica, 2010, 58 (2-3), pp.191-216. ⟨10.1007/s10441-010-9101-1⟩ Article dans une revue hal-00530356v1
	Bayesian Robot Programming Olivier Lebeltel , Pierre Bessiere , Julien Diard , Emmanuel Mazer Autonomous Robots, 2004, 16 (1), pp.49--79. ⟨10.1023/B:AURO.0000008671.38949.43⟩ Article dans une revue inria-00189723v2
	Programmation bayésienne des robots Olivier Lebeltel , Pierre Bessiere , Julien Diard , Emmanuel Mazer Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2004, 18, 18 (2), pp.261--298 Article dans une revue inria-00182069v1

	Emergence of articulatory-acoustic systems from deictic interaction games in a "vocalize to localize" framework Clément Moulin-Frier , Jean-Luc Schwartz , Julien Diard , Pierre Bessière 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 Chapitre d'ouvrage hal-00961125v1
	Bayesian Maps: probabilistic and hierarchical models for mobile robot navigation Julien Diard , Pierre Bessiere Bessière, Pierre and Laugier, Christian and Siegwart, Roland. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, Springer-Verlag, pp.153--175, 2008, Springer Tracts in Advanced Robotics Chapitre d'ouvrage hal-01059197v1
	Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples David Bellot , Roland Siegwart , Pierre Bessiere , Adriana Tapus , Christophe Coué Springer-Verlag. Embodied Artificial Intelligence Int. Seminar, 3139, Springer-Verlag, pp.186--201, 2004 Chapitre d'ouvrage inria-00182055v1

	COSMO : un modèle bayésien des fondements sensorimoteurs de la perception et de la production de la parole Jean-Luc Schwartz , Marie-Lou Barnaud , Pierre Bessière , Marc-Antoine Georges , Raphaël Laurent JEP 2022 - 34e Journées d’Études sur la Parole, Jun 2022, Noirmoutier, France Communication dans un congrès hal-03864188v1
	COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning Marie-Lou Barnaud , Julien Diard , Pierre Bessière , Jean-Luc Schwartz Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India. pp.3786-3790, ⟨10.21437/interspeech.2018-73⟩ Communication dans un congrès hal-02002373v1
	Assessing phonological learning in COSMO, a Bayesian model of speech communication Marie-Lou Barnaud , Jean-Luc Schwartz , Julien Diard , Pierre Bessìère ICDL-EpiRob 2017 - Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, Oct 2017, Lisbonne, Portugal Communication dans un congrès hal-01614145v1
	Perceptuo-motor speech units in the brain with COSMO, a Bayesian model of communication Marie-Lou Barnaud , Julien Diard , Pierre Bessière , Jean-Luc Schwartz ISSP 2017 - 11th International Seminar on Speech Production, Oct 2017, Tianjin, China Communication dans un congrès hal-01614179v1
	Assessing Idiosyncrasies in a Bayesian Model of Speech Communication Marie-Lou Barnaud , Julien Diard , Pierre Bessière , Jean-Luc Schwartz Interspeech 2016 - 17th Annual Conference of the International Speech Communication Association, Sep 2016, San Francisco, United States. ⟨10.21437/Interspeech.2016-396⟩ Communication dans un congrès hal-01371722v1
	Sensorimotor learning in a Bayesian computational model of speech communication Marie-Lou Barnaud , Jean-Luc Schwartz , Julien Diard , Pierre Bessière ICDL-EpiRob 2016 - 6th Joint IEEE International Conference Developmental Learning and Epigenetic Robotics, Sep 2016, Cergy-Pontoise, France Communication dans un congrès hal-01371719v1
	Modeling the concurrent development of speech perception and production in a Bayesian framework Marie-Lou Barnaud , Julien Diard , Pierre Bessière , Jean-Luc Schwartz ICDL-EpiRob 2015 - 5th International Conference on Development and Learning and on Epigenetic Robotics, Aug 2015, Providence, United States Communication dans un congrès hal-01202418v1
	COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception Marie-Lou Barnaud , Julien Diard , Pierre Bessiere , Jean-Luc Schwartz ICDL-EpiRob 2015 - 5th International Conference on Development and Learning and on Epigenetic Robotics, Aug 2015, Providence, RI, United States Communication dans un congrès hal-02004350v1
	Modeling concurrent development of speech perception and production in a Bayesian framework Marie-Lou Barnaud , Raphaël Laurent , Pierre Bessière , Julien Diard , Jean-Luc Schwartz WILD 2015 - 2nd Workshop on Infant Language Development, Jun 2015, Stockholm, Sweden Communication dans un congrès hal-01202417v1
	A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables Raphaël Laurent , Jean-Luc Schwartz , Pierre Bessière , Julien Diard Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France. pp.2797-2801 Communication dans un congrès hal-00827885v1
	COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes Raphaël Laurent , Jean-Luc Schwartz , Pierre Bessière , Julien Diard 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 Communication dans un congrès hal-00827889v1
	La Programmation Bayésienne d'un modèle computationnel intégrateur permet de comparer uniformément les différentes théories cognitives de la perception de la parole Raphaël Laurent , Jean-Luc Schwartz , Pierre Bessière , Julien Diard RJCP 2011 - 9ème Rencontres des Jeunes Chercheurs en Parole, May 2011, Grenoble, France Communication dans un congrès hal-00827894v1
	Noise and inter‐speaker variability improve distinguishability of auditory, motor and perceptuo‐motor theories of speech perception : An exploratory Bayesian modeling study Raphaël Laurent , Clément Moulin-Frier , Pierre Bessière , Jean-Luc Schwartz , Julien Diard ISSP 2011 - 9th International Seminar on Speech Production, Jun 2011, Montréal, Canada. pp.n/c Communication dans un congrès hal-00827892v1
	Bayesian Action-Perception loop modeling: Application to trajectory generation and recognition using internal motor simulation Estelle Gilet , Julien Diard , Richard Palluel-Germain , Pierre Bessière Thirtieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (Maxent 2010), Jul 2010, Chamonix, France. pp.59--66 Communication dans un congrès hal-00961128v1
	A Unified Theoretical Bayesian Model of Speech Communication Clément Moulin-Frier , Jean-Luc Schwartz , Julien Diard , Pierre Bessière ICDHM 2010 - 1st International Conference on Applied Digital Human Modeling, Jul 2010, Miami, Floride, United States. pp.457-466 Communication dans un congrès hal-01059208v1
	Bayesian modelling of sensorimotor systems: Application to handwriting Estelle Gilet , Julien Diard , Pierre Bessiére Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France Communication dans un congrès hal-00331586v1
	Emergence du langage par jeux déictiques dans une société d'agents sensori-moteurs en interaction Clément Moulin-Frier , Jean-Luc Schwartz , Julien Diard , Pierre Bessière JEP 2008 - 27e Journées d'Etudes sur la Parole, Jun 2008, Avignon, France Communication dans un congrès hal-00338789v1
	Emergence of a language through deictic games within a society of sensori-motor agents in interaction Clément Moulin-Frier , Jean-Luc Schwartz , Julien Diard , Pierre Bessière International Workshop on "Speech and Face to Face Communication", 2008, Grenoble, France Communication dans un congrès hal-00370575v1
	Emergence of a language through deictic games within a society of sensori-motor agents in interaction Clément Moulin-Frier , Jean-Luc Schwartz , Julien Diard , Pierre Bessière ISSP 2008 - 8th International Seminar on Speech Production, Dec 2008, Strasbourg, France Communication dans un congrès hal-00338786v1
	Merging probabilistic models of navigation: the Bayesian Map and the Superposition operator Julien Diard , Pierre Bessiere , Emmanuel Mazer Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2005, Edmonton, Canada. pp.668--673 Communication dans un congrès inria-00182041v1
	Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors Eva Simonin , Julien Diard , Pierre Bessiere Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2005, Edmonton, Canada. pp.1226--1231 Communication dans un congrès inria-00182040v1
	A theoretical comparison of probabilistic and biomimetic models of mobile robot navigation Julien Diard , Pierre Bessiere , Emmanuel Mazer Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France Communication dans un congrès inria-00182051v1
	Modeling human spatial navigation components and their relationship using Bayesian sensori-motor schemas Julien Diard , Panagiota Panagiotaki , Alain Berthoz , Pierre Bessiere Proc. of the World Congress of Psychophysiology, 2004, Chalkidiki (GR), France Communication dans un congrès inria-00182065v1
	Hierarchies of probabilistic models of navigation: the Bayesian Map and the Abstraction operator Julien Diard , Pierre Bessiere , Emmanuel Mazer Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France Communication dans un congrès inria-00182061v1
	A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework Julien Diard , Pierre Bessiere , Emmanuel Mazer --, 2003, France Communication dans un congrès hal-00019254v1
	Hierarchies of probabilistic models of space for mobile robots: the bayesian map and the abstraction operator Julien Diard , Pierre Bessiere , Emmanuel Mazer Proc. of the Workshop on Reasoning with Uncertainty in Robotics, Aug 2003, Acapulco (MX), France Communication dans un congrès inria-00182081v1
	Combining probabilistic models of space for mobile robots: the Bayesian Map and the Superposition operator Julien Diard , Pierre Bessiere , Emmanuel Mazer Proc. of the Int. Advanced Robotics Programme, Oct 2003, Madrid (ES), France. pp.65--72 Communication dans un congrès inria-00182076v1
	A Bayesian framework for robotic programming Olivier Lebeltel , Julien Diard , Pierre Bessiere , Emmanuel Mazer Twentieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2000), 2000, Paris, France Communication dans un congrès hal-00089153v1

Pierre Bessiere

Publications

Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication

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

The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception

Phonology in the mirror

Modèles probabilistes formels pour problèmes cognitifs usuels

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

Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception

Spatial memory of paths using circular probability distributions: Theoretical properties, navigation strategies and orientation cue combination

Adverse conditions improve distinguishability of auditory, motor and perceptuo-motor theories of speech perception: an exploratory Bayesian modeling study

Bayesian Action-Perception Computational Model: Interaction of Production and Recognition of Cursive Letters

Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment

Common bayesian models for common cognitive issues

Bayesian Robot Programming

Programmation bayésienne des robots

Emergence of articulatory-acoustic systems from deictic interaction games in a "vocalize to localize" framework

Bayesian Maps: probabilistic and hierarchical models for mobile robot navigation

Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples

COSMO : un modèle bayésien des fondements sensorimoteurs de la perception et de la production de la parole

COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning

Assessing phonological learning in COSMO, a Bayesian model of speech communication

Perceptuo-motor speech units in the brain with COSMO, a Bayesian model of communication

Assessing Idiosyncrasies in a Bayesian Model of Speech Communication

Sensorimotor learning in a Bayesian computational model of speech communication

Modeling the concurrent development of speech perception and production in a Bayesian framework

COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception

Modeling concurrent development of speech perception and production in a Bayesian framework

A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables

COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes

La Programmation Bayésienne d'un modèle computationnel intégrateur permet de comparer uniformément les différentes théories cognitives de la perception de la parole

Noise and inter‐speaker variability improve distinguishability of auditory, motor and perceptuo‐motor theories of speech perception : An exploratory Bayesian modeling study

Bayesian Action-Perception loop modeling: Application to trajectory generation and recognition using internal motor simulation

A Unified Theoretical Bayesian Model of Speech Communication

Bayesian modelling of sensorimotor systems: Application to handwriting

Emergence du langage par jeux déictiques dans une société d'agents sensori-moteurs en interaction

Emergence of a language through deictic games within a society of sensori-motor agents in interaction

Emergence of a language through deictic games within a society of sensori-motor agents in interaction

Merging probabilistic models of navigation: the Bayesian Map and the Superposition operator

Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors

A theoretical comparison of probabilistic and biomimetic models of mobile robot navigation

Modeling human spatial navigation components and their relationship using Bayesian sensori-motor schemas

Hierarchies of probabilistic models of navigation: the Bayesian Map and the Abstraction operator

A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework

Hierarchies of probabilistic models of space for mobile robots: the bayesian map and the abstraction operator

Combining probabilistic models of space for mobile robots: the Bayesian Map and the Superposition operator

A Bayesian framework for robotic programming