TITLE

Identification of Pathological Voices Using Glottal Noise Measures

AUTHOR(S)
Parsa, Vijay; Jamieson, Donald G.
PUB. DATE
April 2000
SOURCE
Journal of Speech, Language & Hearing Research;Apr2000, Vol. 43 Issue 2, p469
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We investigated the abilities of four fundamental frequency (F[sub 0])dependent and two F[sub 0]-independent measures to quantify vocal noise. Two of the F[subm 0]-dependent measures were computed in the time domain, and two were computed using spectral information from the vowel. The F[sub 0]-independent measures were based on the linear prediction (LP) modeling of vowel samples. Tests using a database of sustained vowel samples, collected from 53 normal and 175 pathological talkers, showed that measures based on the LP model were much superior to the other measures. A classification rate of 96.5% was achieved by a parameter that quantifies the spectral flatness of the unmodeled component of the vowel sample.
ACCESSION #
2953511

 

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