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Identifying a comparison for matching rough voice quality.

Sona Patel1, Rahul Shrivastav, David A Eddins

  • 1University of Florida, Gainesville, FL, USA. sona.patel@northwestern.edu

Journal of Speech, Language, and Hearing Research : JSLHR
|February 25, 2012
PubMed
Summary
This summary is machine-generated.

A new voice quality assessment method using a matching task provides reliable and objective measures of vocal roughness. The POWER matching test is recommended for maximizing perceptual distances in clinical applications.

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Area of Science:

  • Audiology
  • Speech Science
  • Perceptual Acoustics

Background:

  • Traditional voice quality ratings are prone to contextual biases.
  • Clinical voice assessments using rating scales have inherent limitations.
  • Objective voice quality measures are needed for improved clinical tools.

Purpose of the Study:

  • To evaluate a matching task as an objective method for assessing voice quality.
  • To compare the reliability and effectiveness of different matching tasks (SINE, SQUARE, POWER) for quantifying vocal roughness.
  • To determine if a matching task can overcome limitations of traditional rating scales.

Main Methods:

  • Twenty-seven participants performed a rating task or one of three matching tests (SINE, SQUARE, POWER).
  • Participants assessed the roughness of 34 dysphonic voice samples using an amplitude-modulated complex carrier.
  • Matching thresholds and rating estimates were compared.

Main Results:

  • Matching thresholds strongly correlated with subjective rating estimates.
  • Threshold reliability was consistent across different matching tasks.
  • The POWER matching test demonstrated larger perceptual distances between stimuli.

Conclusions:

  • A matching task offers a reliable method for estimating vocal roughness in dysphonic voices.
  • The POWER matching task is recommended for its even distribution of threshold variability and maximized perceptual distances.
  • This objective approach can enhance the development of clinical voice analysis tools.