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Synthetic, Multi-Layer, Self-Oscillating Vocal Fold Model Fabrication
Published on: December 2, 2011
A two-dimensional biomechanical model of vocal fold posturing.
1Department of Speech Pathology and Audiology, The University of Iowa, Iowa City 52242, USA. ingo-titze@dcpa.org
The Journal of the Acoustical Society of America
|May 3, 2007
Summary
This study quantifies forces controlling vocal fold movement using a computational model of laryngeal muscles. Simulations of the /hi/ gesture match real-world measurements, advancing voice production understanding.
Area of Science:
- Biomechanics
- Speech Science
- Computational Modeling
Background:
- Understanding laryngeal cartilage dynamics is crucial for voice production.
- Quantifying forces and torques in 2D laryngeal movement provides insight into vocal fold function.
Purpose of the Study:
- To quantify the forces and torques governing two-dimensional (2D) translation and rotation of laryngeal cartilages.
- To model vocal fold posturing (elongation and adduction) based on intrinsic laryngeal muscle activations.
- To compare simulated and measured movement and acoustic outputs for a repeated /hi/ gesture.
Main Methods:
- Developed a computational model of the larynx, incorporating three-dimensional (3D) cartilage movements.
- Programmed activations of five intrinsic laryngeal muscles (cricothyroid, thyroarytenoid, lateral cricoarytenoid, posterior cricoarytenoid, interarytenoid) as inputs.
- Utilized measured electromyographic signals as inputs for modeling a repeated adductory-abductory gesture (/hi-hi-hi-hi-hi/).
- Quantified muscle parameters including maximum active stress, passive stress, activation time, contraction time, and maximum shortening velocity.
Main Results:
- The model successfully simulated the dynamics of 2D laryngeal posturing based on muscle activations.
- Comparison between simulated and measured movement and acoustic outputs for the /hi/ gesture showed agreement.
- The study effectively quantified the forces and torques involved in laryngeal cartilage motion.
Conclusions:
- The developed model accurately simulates laryngeal dynamics and vocal fold posturing.
- Computational modeling with electromyographic inputs provides a valid approach to studying voice production.
- This research enhances our understanding of the biomechanical principles underlying speech production.
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