Identification of pathological voices using glottal noise measures.
We investigated the abilities of four fundamental frequency (F0)-dependent and two F0-independent measures to quantify vocal noise. Two of the F0-dependent measures were computed in the time domain, and two were computed using spectral information from the vowel. The F0-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.
Parsa
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National Center for Audiology, The University of Western Ontario, London, Canada.
Jamieson
D G
DG
D000328:Adult; D005260:Female; D005931:Glottis / Q000502:physiology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009622:Noise; D011237:Predictive Value of Tests; D012720:Severity of Illness Index; D013018:Sound Spectrography / Q000379:methods; D013061:Speech Acoustics; D014832:Voice Disorders / Q000175:diagnosis* / Q000209:etiology*; D014833:Voice Quality