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Predicting Perceived Vocal Roughness Using a Bio-Inspired Computational Model of Auditory Temporal Envelope

Yeonggwang Park1, Supraja Anand1, Erol J Ozmeral1

  • 1Department of Communication Sciences and Disorders, University of South Florida, Tampa.

Journal of Speech, Language, and Hearing Research : JSLHR
|July 22, 2022
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Summary
This summary is machine-generated.

Objective acoustic correlates for vocal roughness were identified using an auditory model. Temporal envelope fluctuations at low modulation frequencies significantly predicted perceived vocal roughness, offering a potential objective measure for voice disorders.

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Area of Science:

  • Speech Science
  • Auditory Perception
  • Acoustic Analysis

Background:

  • Vocal roughness is a common symptom in voice disorders.
  • Current assessment relies on subjective auditory-perceptual evaluation.
  • Objective acoustic correlates for vocal roughness are lacking.

Purpose of the Study:

  • To apply general sound quality roughness concepts to vocal roughness.
  • To identify objective acoustic correlates of vocal roughness using an auditory model.
  • To characterize the relationship between vocal roughness and temporal envelope fluctuations.

Main Methods:

  • Ten /ɑ/ vocal recordings with varying roughness were perceptually rated by listeners.
  • Temporal envelope fluctuations were analyzed using an auditory processing model with a modulation filterbank.
  • Pitch strength and smoothed cepstral peak prominence (CPPS) were also measured.

Main Results:

  • Envelope standard deviation from a low-frequency modulation filter (64.3 Hz) significantly predicted vocal roughness (r² = .80).
  • Measures of pitch strength and CPPS were not significant predictors of vocal roughness.
  • A specific auditory model parameter showed strong predictive power for perceived roughness.

Conclusions:

  • Temporal envelope fluctuation measures from an auditory model show potential as objective correlates of vocal roughness.
  • This approach may lead to more objective assessments of voice disorders.
  • Further research can validate these findings in clinical populations.