Objective Quantification of Pre- and Postphonosurgery Vocal Fold Vibratory Characteristics Using High-Speed Videoendoscopy and a Harmonic Waveform Model Purpose The model-based quantitative analysis of high-speed videoendoscopy (HSV) data at a low frame rate of 2,000 frames per second was assessed for its clinical adequacy. Stepwise regression was employed to evaluate the HSV parameters using harmonic models and their relationships to the Voice Handicap Index (VHI). Also, the model-based ... Research Article
Research Article  |   June 01, 2014
Objective Quantification of Pre- and Postphonosurgery Vocal Fold Vibratory Characteristics Using High-Speed Videoendoscopy and a Harmonic Waveform Model
 
Author Affiliations & Notes
  • Takeshi Ikuma
    Louisiana State University Health Sciences Center, Baton Rouge
  • Melda Kunduk
    Louisiana State University Health Sciences Center, Baton Rouge
    Louisiana State University
    Our Lady of the Lake Regional Medical Center, Baton Rouge
  • Andrew J. McWhorter
    Louisiana State University Health Sciences Center, Baton Rouge
    Our Lady of the Lake Regional Medical Center, Baton Rouge
  • Disclosure: The authors have declared that no competing interests existed at the time of publication.
    Disclosure: The authors have declared that no competing interests existed at the time of publication.×
  • Correspondence to Takeshi Ikuma: tikuma@ieee.org
  • Editor: Jody Kreiman
    Editor: Jody Kreiman×
  • Associate Editor: Scott Thomson
    Associate Editor: Scott Thomson×
Article Information
Speech, Voice & Prosody / Speech / Research Articles
Research Article   |   June 01, 2014
Objective Quantification of Pre- and Postphonosurgery Vocal Fold Vibratory Characteristics Using High-Speed Videoendoscopy and a Harmonic Waveform Model
Journal of Speech, Language, and Hearing Research, June 2014, Vol. 57, 743-757. doi:10.1044/2013_JSLHR-S-12-0202
History: Received June 27, 2012 , Revised January 7, 2013 , Accepted September 18, 2013
 
Journal of Speech, Language, and Hearing Research, June 2014, Vol. 57, 743-757. doi:10.1044/2013_JSLHR-S-12-0202
History: Received June 27, 2012; Revised January 7, 2013; Accepted September 18, 2013
Web of Science® Times Cited: 9

Purpose The model-based quantitative analysis of high-speed videoendoscopy (HSV) data at a low frame rate of 2,000 frames per second was assessed for its clinical adequacy. Stepwise regression was employed to evaluate the HSV parameters using harmonic models and their relationships to the Voice Handicap Index (VHI). Also, the model-based HSV parameters were compared with those using conventional analysis techniques.

Method Eight pairs of HSV recordings of vocal folds before and after surgery for benign lesions were investigated. Five glottal area waveform features—fundamental frequency (F0), open quotient (OQ), speed index (SI), relative glottal gap (RGG), and harmonics-to-noise ratio (HNR)—were measured using model-based and conventional approaches. The statistical analyses were conducted on the mean (M) and standard deviation (SD) of the feature measurements over 1 s during sustained phonation.

Results Two model-based HSV parameters, OQ M (ρ = .67) and HNR M (ρ = −.56), were selected and explained 55% of the VHI variation. The conventional techniques yielded a regression model with OQ SD (ρ = −.60) and F0 SD (ρ = .44), explaining 61% of the VHI variation.

Conclusions Although the selected model-based HSV parameters explained less variation in the VHI than the conventionally computed HSV parameters, the behaviors of the model-based parameters were more consistent with expectations and theory than the conventional analysis techniques.

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