Marie-Lou BARNAUD
Doctorant CNRS
Equipe Perception, Contrôle, Multimodalité et Dynamiques de la parole
Département Parole et Cognition
ME CONTACTER / CONTACT ME
Mail : marie-lou.barnaud@gipsa-lab.grenoble-inp.fr

Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau B315b
Tél.33 (0)4 76 57 48 48
Fax : 33 (0)4 76 57 47 10
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

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

Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessìère. Assessing phonological learning in COSMO, a Bayesian model of speech communication. EPIROB-ICDL, Oct 2017, Lisbonne, Portugal. 2017. 〈hal-01614145〉

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

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. Perceptuo-motor speech units in the brain with COSMO, a Bayesian model of communication. The 11th International Seminar on Speech Production ISSP 2017, Oct 2017, Tianjin, China. 〈hal-01614179〉

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. The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception. Psychological Review, American Psychological Association, 2017, 〈10.1037/rev0000069〉. 〈hal-01484383v2〉

Sensorimotor learning in a Bayesian computational model of speech communication

Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. Sensorimotor learning in a Bayesian computational model of speech communication. The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB 2016), Sep 2016, Cergy-Pontoise, France. 〈http://www.icdl-epirob.org/〉. 〈hal-01371719〉

Assessing Idiosyncrasies in a Bayesian Model of Speech Communication

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. Assessing Idiosyncrasies in a Bayesian Model of Speech Communication. 17th Annual Conference of the International Speech Communication Association (Interspeech 2016), Sep 2016, San Francisco, United States. Interspeech 2016, 2016, 〈10.21437/Interspeech.2016-396〉. 〈hal-01371722〉

Phonology in the mirror

Jean-Luc Schwartz, Marie-Lou Barnaud, Pierre Bessière, Julien Diard, Clément Moulin-Frier. Phonology in the mirror: Comment on "Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain" by Michael A. Arbib. Physics of Life Reviews, Elsevier, 2016, 16, pp.93-95. 〈10.1016/j.plrev.2016.01.007〉. 〈hal-01262293〉

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

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. Modeling the concurrent development of speech perception and production in a Bayesian framework. Workshop: Probabilistic Inference and the Brain, Sep 2015, Paris, France. 2015. 〈hal-01202420〉

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

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. 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. EPIROB-ICDL, Aug 2015, Providence, United States. 2015, 〈http://www.icdl-epirob.org/〉. 〈hal-01202418〉

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

Marie-Lou Barnaud, Raphaël Laurent, Pierre Bessière, Julien Diard, Jean-Luc Schwartz. Modeling concurrent development of speech perception and production in a Bayesian framework. Workshop on Infant Language Development (WILD), Jun 2015, Stockholm, Sweden. 2015. 〈hal-01202417〉

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal