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

Jean-François Patri1,2,3, Julien Diard2, Pascal Perrier1

  • 1Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France.

Frontiers in Psychology
|November 12, 2019
PubMed
Summary
This summary is machine-generated.

Speech motor planning uses auditory and somatosensory feedback, with individual preferences influencing adaptation. A new model integrates these preferences, offering flexibility for understanding speech variability.

Keywords:
Bayesian modelingsensory integrationsensory preferencespeech motor controlspeech motor goals

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Area of Science:

  • Speech Production and Motor Control
  • Computational Neuroscience
  • Auditory and Somatosensory Integration

Background:

  • Speech production relies on both auditory and somatosensory feedback for planning and monitoring.
  • Individual differences in sensory preference exist, where reduced compensation for one sensory modality correlates with increased compensation for another.

Purpose of the Study:

  • To propose and evaluate a probabilistic model of speech motor planning that incorporates individual sensory preferences.
  • To investigate two distinct approaches for implementing sensory preference within the model.

Main Methods:

  • Developed a probabilistic model characterizing speech units in both auditory and somatosensory terms.
  • Implemented sensory preference via relative sensory precision and modulation of sensory prediction sensitivity.
  • Simulated adaptation to auditory perturbation using a 2D biomechanical tongue model.

Main Results:

  • Both implemented variants of sensory preference yielded qualitatively similar simulation results.
  • The second variant, modulating prediction sensitivity, offers greater flexibility by decoupling preference from sensory characterization.
  • This decoupling allows stable sensory representations while preference adapts to cognitive factors.

Conclusions:

  • The proposed model successfully integrates individual sensory preferences into speech motor planning.
  • The second variant provides a more flexible framework for understanding speech variability in diverse populations.
  • This approach has implications for studying speech changes related to aging, disorders, and speaking conditions.