Psychoakustische skalierung akustischer stimmparameter durch multizentrisch validierte RBH-bewertung

Translated title of the contribution: Psychoacoustical scaling of acoustical voice parameters by multicenter voice ratings

R. Schönweiler*, P. Wübbelt, M. M. Hess, M. Ptok

*Corresponding author for this work
6 Citations (Scopus)


Background: The purpose of the study was to analyze if perceptual voice quality ratings of the well-known RBH rating procedure (a 4-point scale of roughness, breathiness, and hoarseness) covary with acoustical voice parameters. Methods: 120 voice samples from subjects with healthy and hoarse voices were rated on the RBH-index in a multicenter study with 31 raters. Multivariate regression tree analysis classified the perceptual ratings as "gold standard". Voice samples were acoustically analyzed with a feature extraction method. Feedforward-networks were trained to selected acoustical parameters having highest "relative importance" in the regression trees. Based on the best classifier, a computer program consisting of 50 simultaneous working networks was developed. Results: Mean probabilities for correct classifications were found at 0.65-0.85, implying a significance level over chance (0.25). Classifications of the program matched in 40% with a priori values in the categories roughness combined with breathiness, and in 65% in at least one domain. Conclusions: The new method described here provides a psychoacoustically based "objective" classification of hoarse voices, which seems to enable future analysis of new parameters (like GNE), which may even improve the present results.

Translated title of the contributionPsychoacoustical scaling of acoustical voice parameters by multicenter voice ratings
Original languageGerman
JournalLaryngo- Rhino- Otologie
Issue number3
Pages (from-to)117-122
Number of pages6
Publication statusPublished - 2001


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