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Updated: Nov 19, 2025

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Patrick Schlegel1,2, Andreas M Kist2, Melda Kunduk3

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This summary is machine-generated.

This study found weak correlations between vocal fold dynamics (glottal area waveform parameters) and acoustic voice signals, suggesting current models may miss crucial laryngeal information for voice disorder analysis.

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Area of Science:

  • Speech and Hearing Science
  • Biomedical Engineering
  • Acoustics

Background:

  • Understanding the relationship between vocal fold vibration and acoustic output is crucial for voice research, particularly for voice disorders like functional dysphonia (FD).
  • High-speed videoendoscopy (HSV) provides detailed glottal dynamics, while acoustic analysis captures the resulting sound.
  • Investigating these links can improve diagnostics and treatment for voice pathologies.

Purpose of the Study:

  • To investigate linear and non-linear relationships between glottal area waveform (GAW) parameters and acoustic parameters derived from voice recordings.
  • To establish normative values for these parameters in healthy individuals.
  • To identify potential differences in these relationships between sexes and in functional dysphonia.

Main Methods:

  • Analysis of 250 high-speed videoendoscopy (HSV) recordings with simultaneous acoustic data from healthy individuals and those with functional dysphonia (FD).
  • Calculation of 35 glottal area waveform (GAW) parameters and 14 acoustic parameters.
  • Application of Pearson correlation coefficients (PCC) and distance correlation coefficients (DCC) to assess linear and non-linear relationships.

Main Results:

  • Weak correlations were found between most investigated GAW and acoustic parameters, with statistically significant correlations observed in 5.3% of cases for females and 1.6% for males.
  • Non-linear dependencies between parameters were generally weak.
  • Fundamental frequency was frequently involved in significant correlations, and the Period Variability Index showed distinct sex-based differences.

Conclusions:

  • The study indicates that reducing complex 3D glottal dynamics to 1D GAW parameters may omit laryngeal characteristics reflected in the acoustic signal.
  • Further research should explore more comprehensive laryngeal dynamics (2D/3D) and vocal tract parameters for stronger correlations with acoustic signals.
  • These findings highlight the need for advanced modeling to fully understand voice production and disorders.