Affiliation:
1. Louisiana State University Health Sciences Center, Baton Rouge
2. Louisiana State University
3. Our Lady of the Lake Regional Medical Center, Baton Rouge
Abstract
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.
Publisher
American Speech Language Hearing Association
Subject
Speech and Hearing,Linguistics and Language,Language and Linguistics
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献