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Related Experiment Videos

Modeling vocal fold motion with a hydrodynamic semicontinuum model.

M Drew LaMar1, Yingyong Qi, Jack Xin

  • 1Department of Mathematics, University of Texas at Austin, Austin, Texas 78712, USA.

The Journal of the Acoustical Society of America
|July 26, 2003
PubMed
Summary

This study presents a new hydrodynamic model for vocal fold (VF) motion, simplifying complex airflow dynamics. The model accurately captures transient VF behaviors, offering a computationally efficient alternative for voice production research.

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Area of Science:

  • Acoustics and Biophysics
  • Computational Fluid Dynamics
  • Voice Production Mechanisms

Background:

  • Vocal fold (VF) dynamics are crucial for voice production but computationally challenging due to nonlinear airflow coupling.
  • Traditional models often use approximations like Bernoulli's law, which are inaccurate during VF opening.
  • Internal flow separation during VF motion complicates accurate modeling.

Purpose of the Study:

  • To develop a simplified yet accurate hydrodynamic model for vocal fold (VF) motion.
  • To improve the computational efficiency of simulating voice production.
  • To capture transient phenomena in VF dynamics, including flow separation.

Main Methods:

  • A hydrodynamic semicontinuum system was developed for VF motion.

Related Experiment Videos

  • Airflow was modeled using a modified quasi-one-dimensional Euler system coupled with VF velocity.
  • The VF was represented by a lumped two-mass system incorporating flow separation conditions.

    • Main Results:

    • The model successfully captured salient features of VF motion, including transient behaviors.
    • Double peaks in subglottal pressure during VF opening and closing were accurately reproduced.
    • Numerical results align with experimental data and detailed 2D simulations.

    Conclusions:

    • The proposed hydrodynamic semicontinuum system offers a computationally efficient method for modeling VF dynamics.
    • This simplified model provides accurate transient VF motion characteristics.
    • The findings contribute to a better understanding of voice production and enable more accessible simulations.