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Related Experiment Videos

The equilibrium point hypothesis and its application to speech motor control

P Perrier1, D J Ostry, R Laboissière

  • 1Institut de la Communication Parlée, Grenoble, France. perrier@icp.grenet.fr

Journal of Speech and Hearing Research
|April 1, 1996
PubMed
Summary

This study explores motor control in speech using the equilibrium point hypothesis. Findings suggest smooth movements and coarticulation may arise from inherent dynamics, not just explicit targets.

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Area of Science:

  • Motor control
  • Speech science
  • Biomechanics

Background:

  • The equilibrium point hypothesis posits that movements result from shifts in a limb or speech articulator's equilibrium position.
  • Equilibrium is influenced by neural commands, reflexes, muscle properties, and external loads, all modulated by central neural commands acting on the motoneurone pool.

Purpose of the Study:

  • To investigate the equilibrium point hypothesis in the context of speech motor control.
  • To examine the implications for articulatory targets and the generation of smooth articulatory trajectories.
  • To explore the phenomenon of intra-articulator coarticulation and its dynamic origins.

Main Methods:

  • Modeling sagittal plane jaw and hyoid motion using the lambda version of the equilibrium point hypothesis.

Related Experiment Videos

  • Simulating articulatory movements and analyzing kinematic variability.

    • Main Results:

    • Simple linear control signals may explain smooth articulatory trajectories.
    • Apparent anticipatory changes in jaw movement (amplitude, duration) can arise from dynamics, even without considering upcoming context.
    • Variability in measured kinematics can occur despite constant speech control signals.

    Conclusions:

    • The equilibrium point hypothesis provides a framework for understanding speech articulation and movement variability.
    • Articulatory dynamics play a significant role in coarticulation and trajectory generation.
    • Motor control signals may be simpler than previously assumed, with dynamics contributing to complex movement patterns.