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

Marie-Lou Barnaud 1 Jean-Luc Schwartz 1 Julien Diard 2 Pierre Bessìère 3
1 GIPSA-PCMD - GIPSA - Perception, Contrôle, Multimodalité et Dynamiques de la parole
GIPSA-DPC - Département Parole et Cognition
2 LPNC - Laboratoire de Psychologie et NeuroCognition
3 ISIR - Institut des Systèmes Intelligents et de Robotique
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https://hal.archives-ouvertes.fr/hal-01614145
Contributor : Marie-Lou Barnaud <>
Submitted on : Tuesday, October 10, 2017 - 3:26:45 PM
Last modification on : Tuesday, May 11, 2021 - 11:37:34 AM
Long-term archiving on: : Thursday, January 11, 2018 - 1:15:41 PM

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  • HAL Id : hal-01614145, version 1

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CNRS | TDS-MACS | LPNC | UNIV-SAVOIE | ISIR | UPMC | GIPSA | UGA | GIPSA-DPC | SORBONNE-UNIVERSITE | SU-SCIENCES | SU-TI | GIPSA-PCMD

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Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessìère. Assessing phonological learning in COSMO, a Bayesian model of speech communication. 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Oct 2017, Lisbonne, Portugal. ⟨hal-01614145⟩

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