Title: Estimation techniques of vocal fold disorder: a survey

Authors: Satyajit Pangaonkar; Reena Gunjan

Addresses: School of Engineering, Avantika University, Vishwanathpuram, Lekoda Village, Ujjain, Madhya Pradesh, India ' Department of Electronics and Communication Engineering, School of Engineering, MIT Art, Design and Technology University, Rajbaug, Loni-Kalbhor, Pune, India

Abstract: Voice disorder of the speech has been observed as an utmost critical issue in both children and elders. Complexity, limited experimentation and predictions by the physicians during the analysis are main causes for inaccurate diagnosis and wrong information about the dysfunction. The research studies are limited to elementary analysis and diagnosis level for the physicians and therapists due the restrictions of skilled specialists and the expenses involved. This paper deals with the evaluation and facts to understand software tools, different acoustic, non-acoustic and non-invasive approach. This can be observed in terms of sensors and image extraction analysis to deal with the pathologies and to overcome the problems which will be beneficial to the speech language pathologists, clinicians, therapist and vocalist.

Keywords: FonaDyn; PRAAT; multidimensional voice program; MDVP; tuned electromagnetic resonator collar sensor; TERC; polyvinylidene fluoride; PVDF; physiological microphone sensing; physiological microphone sensor; P-MIC; high-speed video; HSV; VKG.

DOI: 10.1504/IJMEI.2023.130730

International Journal of Medical Engineering and Informatics, 2023 Vol.15 No.3, pp.245 - 256

Received: 25 Oct 2020
Accepted: 25 Apr 2021
Published online: 04 May 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article