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The University of Arizona.

Kinematic Modeling of Asymmetric Vocal Fold Vibration

Abstract

dc:description.abstract

Asymmetries of the vocal folds and vocal fold vibration are key features underlying unilateral vocal fold motion impairment (VFMI). The knowledge of what particular asymmetries contribute to breathy voice and which asymmetries must be eliminated to re-establish normal voice will be important to improving evaluation and treatment of VFMI. It was hypothesized that several structural and vibratory asymmetries should lead to predictable changes in the glottal area, flow, and acoustic waveforms, and subsequently a perceived breathy voice quality. The purpose of this project was threefold: 1) to determine how specific vocal fold structural and vibratory asymmetries alter vocal function and perceived voice quality, 2) to determine the improvement in vocal function and voice quality in an abnormal voice with elimination of individual asymmetries, and 3) to develop a battery of vocal function measures that vary with dysphonia in a predictable manner. The approach was to use a computational kinematic model of vocal fold vibration that allows for differential left/right control of parameters such as vocal fold adduction, medial surface bulging, vibratory nodal point, phase, amplitude of vibration, and fundamental frequency. The resultant signals were subjected to aerodynamic and acoustic measurement as well as perceptual rating of voice quality. Results revealed that the degree of vocal process separation was the most influential parameter tested, though asymmetry of bulging, nodal point ratio, and starting phase worsened normal voice quality. Conversely, increased symmetry of bulging, nodal point ratio, amplitude of vibration and starting phase improved disordered voice quality. The amount of improvement to disordered voices varied based on the number of other asymmetries present. None of the six vocal function measures tested were primarily responsive to one particular model parameter, though four measures generally decreased as vocal process separation increased: maximum flow declination rate (MFDR), spectral slope (B0-B2), cepstral peak prominence (CPP), and harmonics-to-noise ratio (HNR). Two of the measures, MFDR and CPP, co-varied with each of the five parameters and robustly correlated with perceived severity.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Graduate College
Grantor dc:publisher
The University of Arizona.
Year dc:date.issued
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Samlan, Robin Amy
Advisor dc:contributor.advisor
  • Story, Brad H.
Committee members dc:contributor.committeemember
  • Barkmeier-Kraemer, Julie
  • Bunton, Kate
  • Hoit, Jeannette D.
  • Lotto, Andrew J.
  • Story, Brad H.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10150/232456
OAI identifier oai:identifier
oai:repository.arizona.edu:10150/232456

Chain of custody

source
Harvested from
University of Arizona
Base URL
repository.arizona.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Samlan, Robin Amy. Kinematic Modeling of Asymmetric Vocal Fold Vibration. doctoral thesis, The University of Arizona., 2012. http://hdl.handle.net/10150/232456