HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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
Document type :
Conference papers
Complete list of metadata

Cited literature [4 references]  Display  Hide  Download
https://hal.archives-ouvertes.fr/hal-01614145
Contributor : Marie-Lou Barnaud Connect in order to contact the contributor
Submitted on : Tuesday, October 10, 2017 - 3:26:45 PM
Last modification on : Friday, January 21, 2022 - 3:35:55 AM
Long-term archiving on: : Thursday, January 11, 2018 - 1:15:41 PM

File

Vignette du document
EPIROB_abstract.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01614145, version 1

Collections

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

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

371

Files downloads

119