 |
Conference papers
A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables
Abstract : This paper presents COSMO, a Bayesian computational model, which is expressive enough to carry out syllable production, perception and imitation tasks using motor, auditory or perceptuo-motor information. An imitation algorithm enables to learn the articulatory-to-acoustic mapping and the link between syllables and correspond- ing articulatory gestures, from acoustic inputs only: syn- thetic CV syllables generated with a human vocal tract model. We compare purely auditory, purely motor and perceptuo-motor syllable categorization under various noise levels.
Cited literature [29 references]
https://hal.archives-ouvertes.fr/hal-00827885
Contributor : Raphaël Laurent <>
Submitted on : Wednesday, May 29, 2013 - 6:36:31 PM
Last modification on : Friday, July 3, 2020 - 4:52:14 PM
Document(s) archivé(s) le : Tuesday, April 4, 2017 - 1:12:24 PM
Contributor : Raphaël Laurent <>
Submitted on : Wednesday, May 29, 2013 - 6:36:31 PM
Last modification on : Friday, July 3, 2020 - 4:52:14 PM
Document(s) archivé(s) le : Tuesday, April 4, 2017 - 1:12:24 PM
File
Laurent_COSMO_processing_sylla...
Files produced by the author(s)
