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- W2080971853 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 nmltiple 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." @default.
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- W2080971853 date "1987-06-01" @default.
- W2080971853 modified "2023-09-27" @default.
- W2080971853 title "Prediction of Vocal Severity Within and Across Voice Types" @default.
- W2080971853 doi "https://doi.org/10.1044/jshr.3002.230" @default.
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