Literature DB >> 8817904

The perceptual structure of pathologic voice quality.

J Kreiman1, B R Gerratt.   

Abstract

Although perceptual assessment is included in most protocols for evaluating pathologic voices, a standard set of valid scales for measuring voice quality has never been established. Standardization is important for theory and for clinical acceptance, and also because validation of objective measures of voice depends on valid perceptual measures. The present study used large sets (n = 80) of male and female voices, representing a broad range of diagnoses and vocal severities. Eight experts judged the dissimilarity of each pair of voices, and responses were analyzed using nonmetric individual differences multidimensional scaling. Results indicate that differences between listeners in perceptual strategy are so great that the fundamental assumption of a common perceptual space must be questioned. Because standardization depends on the assumption that listeners are similar, it is concluded that efforts to standardize perceptual labels for voice quality are unlikely to succeed. However, analysis by synthesis may provide an alternate means of modeling quality as a function of both voices and listeners, thus avoiding this problem.

Mesh:

Year:  1996        PMID: 8817904     DOI: 10.1121/1.416074

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  7 in total

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2.  [On the auditory evaluation of voice quality].

Authors:  M Ptok; C Schwemmle; C Iven; M Jessen; T Nawka
Journal:  HNO       Date:  2006-10       Impact factor: 1.284

3.  Acoustic voice variation within and between speakers.

Authors:  Yoonjeong Lee; Patricia Keating; Jody Kreiman
Journal:  J Acoust Soc Am       Date:  2019-09       Impact factor: 1.840

4.  Comparing two methods for reducing variability in voice quality measurements.

Authors:  Jody Kreiman; Bruce R Gerratt
Journal:  J Speech Lang Hear Res       Date:  2010-11-16       Impact factor: 2.297

5.  Towards understanding speaker discrimination abilities in humans and machines for text-independent short utterances of different speech styles.

Authors:  Soo Jin Park; Gary Yeung; Neda Vesselinova; Jody Kreiman; Patricia A Keating; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2018-07       Impact factor: 1.840

6.  The Effect of Visual Sort and Rate Versus Visual Analog Scales on the Reliability of Judgments of Dysphonia.

Authors:  Mara R Kapsner-Smith; Amanda Opuszynski; Cara E Stepp; Tanya L Eadie
Journal:  J Speech Lang Hear Res       Date:  2021-04-28       Impact factor: 2.297

7.  Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis.

Authors:  Tino Haderlein; Cornelia Schwemmle; Michael Döllinger; Václav Matoušek; Martin Ptok; Elmar Nöth
Journal:  Comput Math Methods Med       Date:  2015-06-02       Impact factor: 2.238

  7 in total

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