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Advances in Clinical Voice Quality Analysis with VOXplot.

Ben Barsties V Latoszek1, Jörg Mayer2, Christopher R Watts3

  • 1Speech-Language Pathology, SRH University of Applied Health Sciences, 40210 Düsseldorf, Germany.

Journal of Clinical Medicine
|July 29, 2023
PubMed
Summary
This summary is machine-generated.

This study identifies key acoustic measures for voice quality. Harmonics-to-noise ratio (HNR) and pitch perturbation quotient (PPQ5) detect hoarseness, while smoothed cepstral peak prominence (CPPS) and glottal-to-noise excitation ratio (GNE) detect breathiness.

Keywords:
acoustic measuresbreathinesshoarsenessvoice diagnosticvoice quality analysis

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Area of Science:

  • Speech and Hearing Sciences
  • Acoustic Analysis
  • Voice Disorders

Background:

  • Perceptual and acoustic evaluations are standard for voice quality assessment.
  • Acoustic analysis validates and interprets perceptual judgments of voice quality.

Purpose of the Study:

  • To identify the strongest acoustic voice quality parameters for perceived hoarseness and breathiness.
  • To analyze sustained vowel [a:] using the VOXplot software.

Main Methods:

  • 218 voice samples from individuals with and without voice disorders were analyzed.
  • Included perceptual and acoustic analyses of 13 single acoustic parameters.
  • Assessed validity in relation to perceptions of hoarseness and breathiness.

Main Results:

  • Four acoustic measures showed clear associations with hoarseness or breathiness.
  • Harmonics-to-noise ratio (HNR) and pitch perturbation quotient (PPQ5) correlated with hoarseness.
  • Smoothed cepstral peak prominence (CPPS) and glottal-to-noise excitation ratio (GNE) correlated with breathiness.

Conclusions:

  • HNR and PPQ5 strongly indicate hoarseness, differentiating it from breathiness.
  • CPPS and GNE strongly indicate breathiness, differentiating it from hoarseness.
  • These acoustic measures offer high confidence in discriminating voice qualities.