Article ID Journal Published Year Pages File Type
489482 Procedia Computer Science 2015 8 Pages PDF
Abstract

Voice acoustic analysis is becoming more and more useful in diagnosis of voice disorders or laryngological pathologies. The facility to record a voice signal is an advantage over other invasive techniques. This paper presents the statistical analyzes of a set of voice parameters like jitter, shimmer and HNR over a 4 groups of subjects with dysphonia, functional dysphonia, hyperfunctional dysphonia, and psychogenic dysphonia and a control group. No statistical significance differences over pathologic groups were found but clear tendencies can be seen between pathologic and control group. The tendencies indicates this parameters as a good features to be used in an intelligent diagnosis system, moreover the jitter and shimmer parameters measured over different tones and vowels.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)