Literature DB >> 28471206

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

Raphaël Laurent1, Marie-Lou Barnaud1, Jean-Luc Schwartz1, Pierre Bessière2, Julien Diard1.   

Abstract

There is a consensus concerning the view that both auditory and motor representations intervene in the perceptual processing of speech units. However, the question of the functional role of each of these systems remains seldom addressed and poorly understood. We capitalized on the formal framework of Bayesian Programming to develop COSMO (Communicating Objects using Sensory-Motor Operations), an integrative model that allows principled comparisons of purely motor or purely auditory implementations of a speech perception task and tests the gain of efficiency provided by their Bayesian fusion. Here, we show 3 main results: (a) In a set of precisely defined "perfect conditions," auditory and motor theories of speech perception are indistinguishable; (b) When a learning process that mimics speech development is introduced into COSMO, it departs from these perfect conditions. Then auditory recognition becomes more efficient than motor recognition in dealing with learned stimuli, while motor recognition is more efficient in adverse conditions. We interpret this result as a general "auditory-narrowband versus motor-wideband" property; and (c) Simulations of plosive-vowel syllable recognition reveal possible cues from motor recognition for the invariant specification of the place of plosive articulation in context that are lacking in the auditory pathway. This provides COSMO with a second property, where auditory cues would be more efficient for vowel decoding and motor cues for plosive articulation decoding. These simulations provide several predictions, which are in good agreement with experimental data and suggest that there is natural complementarity between auditory and motor processing within a perceptuo-motor theory of speech perception. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

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Year:  2017        PMID: 28471206     DOI: 10.1037/rev0000069

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  7 in total

1.  The motor system's [modest] contribution to speech perception.

Authors:  Ryan C Stokes; Jonathan H Venezia; Gregory Hickok
Journal:  Psychon Bull Rev       Date:  2019-08

2.  What drives the perceptual change resulting from speech motor adaptation? Evaluation of hypotheses in a Bayesian modeling framework.

Authors:  Jean-François Patri; Pascal Perrier; Jean-Luc Schwartz; Julien Diard
Journal:  PLoS Comput Biol       Date:  2018-01-22       Impact factor: 4.475

3.  Bringing the Nonlinearity of the Movement System to Gestural Theories of Language Use: Multifractal Structure of Spoken English Supports the Compensation for Coarticulation in Human Speech Perception.

Authors:  Rachel M Ward; Damian G Kelty-Stephen
Journal:  Front Physiol       Date:  2018-09-03       Impact factor: 4.566

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

Authors:  Marie-Lou Barnaud; Jean-Luc Schwartz; Pierre Bessière; Julien Diard
Journal:  PLoS One       Date:  2019-01-11       Impact factor: 3.240

5.  Modeling Sensory Preference in Speech Motor Planning: A Bayesian Modeling Framework.

Authors:  Jean-François Patri; Julien Diard; Pascal Perrier
Journal:  Front Psychol       Date:  2019-10-25

6.  Brain-inspired model for early vocal learning and correspondence matching using free-energy optimization.

Authors:  Alexandre Pitti; Mathias Quoy; Sofiane Boucenna; Catherine Lavandier
Journal:  PLoS Comput Biol       Date:  2021-02-18       Impact factor: 4.475

7.  Formant Space Reconstruction From Brain Activity in Frontal and Temporal Regions Coding for Heard Vowels.

Authors:  Alessandra Cecilia Rampinini; Giacomo Handjaras; Andrea Leo; Luca Cecchetti; Monica Betta; Giovanna Marotta; Emiliano Ricciardi; Pietro Pietrini
Journal:  Front Hum Neurosci       Date:  2019-02-08       Impact factor: 3.169

  7 in total

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