Acoustic and high-speed digital imaging based analysis of pathological voice contributes to better understanding and differential diagnosis of neurological dysphonias and of mimicking phonatory disorders
Document Type
Conference Proceeding
Publication Date
11-26-2009
Abstract
Using Nyquist-plots definitions and HSDI-based analyses of the acoustic and visual data base of similarly sounding disordered neurologically driven pathological phonations, we categorized these signals and provided an in-depth explanation of how these sounds differ, and how these sounds are generated at the glottic level. Combined evaluations based on modern technology strengthened our knowledge and improved objective guidelines on how to approach clinical diagnosis by ear, significantly aiding the process of differential diagnosis of complex pathological voice qualities in nonlaboratory settings. Copyright © 2009 ISCA.
Publication Source (Journal or Book title)
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
First Page
932
Last Page
934
Recommended Citation
Izdebski, K., Yan, Y., & Kunduk, M. (2009). Acoustic and high-speed digital imaging based analysis of pathological voice contributes to better understanding and differential diagnosis of neurological dysphonias and of mimicking phonatory disorders. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 932-934. Retrieved from https://repository.lsu.edu/comd_pubs/134