Prediction of vocal severity within and across voice types

V. I. Wolfe, Thomas Steinfatt

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Fifty-one subjects representing diverse laryngeal etiologies recorded /a/ and /i/ to provide a study sample of 102 vowel sounds. Listeners categorized each vowel on the basis of four voice types (normal, breathy, hoarse, unclassified) and evaluated the degree of vocal abnormality on a 7-point scale. In addition to spectrographic noise (SN) classification, several acoustic measures based on period variability were entered into a multiple regression analysis for the prediction of vocal severity across and within voice types. In general, spectrographic noise and curvilinear derivatives of the period standard deviation (PSD) provided the best predictions of disorder severity. Different variables were the major predictors for different voice types. Several variables used in previous studies were inefficient as predictors of severity.

Original languageEnglish
Pages (from-to)230-240
Number of pages11
JournalJournal of Speech and Hearing Research
Volume30
Issue number2
StatePublished - Jan 1 1987
Externally publishedYes

Fingerprint

Noise
etiology
listener
acoustics
regression analysis
Acoustics
Regression Analysis
Prediction
Voice-types
Predictors
Curvilinear
Derivatives
Listeners
Etiology
Laryngeal
Vowel Sounds
Multiple Regression
Deviation

ASJC Scopus subject areas

  • Otorhinolaryngology

Cite this

Prediction of vocal severity within and across voice types. / Wolfe, V. I.; Steinfatt, Thomas.

In: Journal of Speech and Hearing Research, Vol. 30, No. 2, 01.01.1987, p. 230-240.

Research output: Contribution to journalArticle

Wolfe, VI & Steinfatt, T 1987, 'Prediction of vocal severity within and across voice types', Journal of Speech and Hearing Research, vol. 30, no. 2, pp. 230-240.
Wolfe, V. I. ; Steinfatt, Thomas. / Prediction of vocal severity within and across voice types. In: Journal of Speech and Hearing Research. 1987 ; Vol. 30, No. 2. pp. 230-240.
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