Skip to the main content

Original scientific paper

Differentiation Between Functional and Organic Dysphonia Using Multidimensional Acoustic Voice Analysis

Tamara Živković Ivanović ; Josip Juraj Strossmayer University of Osijek, Faculty of Education *
Ivana Šimić ; University of Zagreb, Faculty of Education and Rehabilitation Sciences

* Corresponding author.


Full text: croatian pdf 427 Kb

page 57-64

downloads: 0

cite


Abstract

The aim of this study was to examine differences in acoustic voice parameters between individuals with organic and functional dysphonia using multidimensional acoustic voice analysis. The study included 70 adults diagnosed with voice disorders, comprising of 35 participants with organic dysphonia and 35 participants with functional dysphonia. Acoustic voice analysis was performed using the LingWAVES Voice Clinic Suite Pro, Version 3.2 system under standardized recording conditions. The following parameters were analyzed: fundamental frequency (F0), jitter, shimmer, maximum phonation time (MPT), and the Dysphonia Severity Index (DSI).
The results revealed statistically significant differences between the groups for jitter, shimmer, MPT, and DSI. Participants with organic dysphonia showed higher jitter and shimmer values, lower DSI scores, and shorter maximum phonation time compared to participants with functional dysphonia. The most pronounced difference was found for the DSI, which demonstrated the highest discriminative value between the groups. No statistically significant difference was found for fundamental frequency (F0).
The findings confirm that organic and functional dysphonia exhibit different acoustic patterns and support the usefulness of multidimensional acoustic voice analysis in the objective assessment of voice disorders. The DSI proved to be particularly valuable as an objective indicator of dysphonia severity and a potential tool in the differential diagnosis of voice disorders.

Keywords

organic dysphonia; functional dysphonia; acoustic voice analysis; DSI; LingWAVES

Hrčak ID:

350390

URI

https://hrcak.srce.hr/350390

Publication date:

30.8.2026.

Article data in other languages: croatian

Visits: 0 *