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Stephan R Kuberski1, Adamantios I Gafos1

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This study reveals how movement segmentation thresholds impact speech motor control models. Adjusting these thresholds significantly alters dynamical model performance for speech production.

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Area of Science:

  • Speech motor control
  • Biomechanics
  • Dynamical systems modeling

Background:

  • Accurate speech production models require segmenting continuous speech into discrete movements.
  • Current methods universally use velocity-based thresholds to define movement onset/offset.
  • The choice of threshold influences the amount of trajectory data used in model analysis.

Purpose of the Study:

  • To investigate the impact of velocity-based threshold selection on speech movement segmentation.
  • To explicitly demonstrate how threshold choice modulates the performance of dynamical models of speech.

Main Methods:

  • Analysis of speech effector movement trajectories.
  • Application of varying velocity-based thresholds for movement segmentation.
  • Regression analysis of dynamical models using segmented movement data.

Main Results:

  • The selection of the velocity threshold directly influences the quantity of movement trajectory data retained for analysis.
  • Different threshold settings lead to quantifiable variations in the regression performance of the hypothesized dynamical model.
  • This modulation highlights the sensitivity of model evaluation to segmentation parameters.

Conclusions:

  • The choice of velocity threshold is a critical parameter in speech motor control research.
  • Explicitly accounting for threshold effects is necessary for robust dynamical model evaluation.
  • Future research should consider the impact of segmentation choices on model interpretation.