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December 2024

Identification of pathological voices using glottal noise measures

Author(s): Jamieson, D. G.

Journal/Book: J Speech Lang Hear Res. 2000; 43: 10801 Rockville Pike, Rockville, MD 20852-3279, USA. Amer Speech-Language-Hearing Assoc. 469-485.

Abstract: We investigated the abilities of four fundamental Frequency (F-0)-dependent and two F-0-independent measures to quantify vocal noise. Two of the F-0-dependent measures were computed in the time domain, and two were computed using spectral information from the vowel. The F-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.

Note: Article Jamieson DG, Univ Western Ontario, Natl Ctr Audiol, London, ON N6G 1H1, CANADA

Keyword(s): acoustic measures of voice; glottal noise measures; identification of pathological voice; linear prediction; ACOUSTIC PREDICTION; SEVERITY; QUALITY; PERTURBATION; HOARSENESS; FEATURES; RATIO


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