Concatenation of the Moving Window Technique for Auditory-Perceptual Analysis of Voice Quality Purpose The purpose of this study is to develop a program to concatenate acoustic vowel segments that were selected with the moving window technique, a previously developed technique used to segment and select the least perturbed segment from a sustained vowel segment. The concatenated acoustic segments were compared with the ... Research Article
Newly Published
Research Article  |   October 05, 2018
Concatenation of the Moving Window Technique for Auditory-Perceptual Analysis of Voice Quality
 
Author Affiliations & Notes
  • Benjamin Ehrlich
    School of Medicine and Public Health, University of Wisconsin–Madison
  • Liyu Lin
    School of Medicine and Public Health, University of Wisconsin–Madison
  • Jack Jiang
    School of Medicine and Public Health, University of Wisconsin–Madison
  • 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 Jack Jiang: jjjiang@wisc.edu
  • Editor-in-Chief: Julie Barkmeier-Kraemer
    Editor-in-Chief: Julie Barkmeier-Kraemer×
  • Editor: M. Preeti Sivasankar
    Editor: M. Preeti Sivasankar×
Article Information
Speech, Voice & Prosodic Disorders / Voice Disorders / Speech, Voice & Prosody / Newly Published / Research Article
Research Article   |   October 05, 2018
Concatenation of the Moving Window Technique for Auditory-Perceptual Analysis of Voice Quality
American Journal of Speech-Language Pathology, Newly Published. doi:10.1044/2018_AJSLP-17-0103
History: Received July 17, 2017 , Revised December 8, 2017 , Accepted May 13, 2018
 
American Journal of Speech-Language Pathology, Newly Published. doi:10.1044/2018_AJSLP-17-0103
History: Received July 17, 2017; Revised December 8, 2017; Accepted May 13, 2018

Purpose The purpose of this study is to develop a program to concatenate acoustic vowel segments that were selected with the moving window technique, a previously developed technique used to segment and select the least perturbed segment from a sustained vowel segment. The concatenated acoustic segments were compared with the nonconcatenated, short, individual acoustic segments for their ability to differentiate normal and pathological voices. The concatenation process sometimes created a clicking noise or beat, which was also analyzed to determine any confounding effects.

Method A program was developed to concatenate the moving window segments. Listeners with no previous rating experience were trained and, then, rated 20 normal and 20 pathological voice segments, both concatenated (2 s) and short (0.2 s) for a total of 80 segments. Listeners evaluated these segments on both the Grade, Roughness, Breathiness, Asthenia, and Strain scale (GRBAS; 8 listeners) and the Consensus Auditory-Perceptual Evaluation of Voice (Kempster, Gerratt, Abbott, Barkmeier-Kraemer, & Hillman, 2009) scale (7 listeners). The sensitivity and specificity of these ratings were analyzed using a receiver-operating characteristic curve. To evaluate if there were increases in particular criteria due to the beat, differences between beat and nonbeat ratings were compared using a 2-tailed analysis of variance.

Results Concatenated segments had a higher sensitivity and specificity for distinguishing pathological and normal voices than short segments. Compared with nonbeat segments, the beat had statistically similar increases for all criteria across Consensus Auditory-Perceptual Evaluation of Voice and GRBAS scales, except pitch and loudness.

Conclusions The concatenated moving window method showed improved sensitivity and specificity for detecting voice disorders using auditory-perceptual analysis, compared with the short moving window segment. It is a helpful tool for perceptual analytic protocols, allowing for voice evaluation using standardized and automated voice-segmenting procedures.

Supplemental Material https://doi.org/10.23641/asha.7100951

Acknowledgments
This research was supported by National Institute on Deafness and Other Communication Disorders Grant 2 R01 DC006019-06A1 awarded to Dr. Jack Jiang.
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