[Modeling vocal-fold vibration via integrating two-mass model with finite-element method]

Area of Science:

• Biomechanics
• Computational modeling
• Speech science

Context:

• Understanding vocal fold vibration is crucial for diagnosing and treating voice disorders.
• Existing models, such as the finite element method (FEM) and asymmetric two-mass models, have limitations in accurately capturing complex vocal fold dynamics.
• High-speed glottis graph (HGG) synthesis is a valuable tool for analyzing vocal fold function.

Purpose:

• To present a novel combined two mass-finite element (T-F) model for simulating vocal fold vibration.
• To integrate the strengths of FEM and asymmetric two-mass models into a unified framework.
• To enable realistic simulation of both normal and pathological vocal fold behaviors and synthesize high-speed glottis graphs.

Summary:

• A novel T-F model is introduced, merging finite element method (FEM) and asymmetric two-mass model advantages.
• The T-F model accurately simulates vocal fold vibration for normal and pathological cases.
• The model demonstrates competitive computational speed and the ability to synthesize high-speed glottis graphs.

Impact:

• Provides a more realistic and computationally efficient tool for understanding vocal fold biomechanics.
• Facilitates deeper insights into the physiological and pathological characteristics of voice production.
• Aids in the development of improved diagnostic and therapeutic strategies for voice disorders.