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Acoustic correlates of pathologic voice types.

V Wolfe1, R Cornell, C Palmer

  • 1Speech and Hearing Clinic, Auburn University, Montgomery, AL 36193-0408.

Journal of Speech and Hearing Research
|June 1, 1991
PubMed
Summary
This summary is machine-generated.

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Acoustic analysis accurately identified voice types like hoarse and breathy. Key factors included harmonic/noise differences, fundamental frequency, and vowel type for 80% accurate voice classification.

Area of Science:

  • Speech acoustics
  • Voice analysis
  • Auditory perception

Background:

  • Vocal quality perception is complex.
  • Objective acoustic measures can aid voice classification.
  • Understanding acoustic correlates of voice types is crucial.

Purpose of the Study:

  • To determine acoustic parameters for classifying voice types.
  • To assess classification accuracy using discriminant analysis.
  • To explore the role of specific acoustic features in voice perception.

Main Methods:

  • Listeners classified vowel samples (/a/, /i/) across four voice types (hoarse, breathy, strained, normal).
  • Acoustic analysis measured harmonic/noise differences, fundamental frequency (average and log), and jitter.
  • Discriminant analysis was employed to identify significant predictive parameters.

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Main Results:

  • Voice type classification achieved 80% accuracy.
  • Three acoustic parameters were key: harmonic/noise difference (1-3.5 kHz), natural log of fundamental frequency, and vowel type.
  • These parameters effectively differentiated between normal and abnormal voice qualities.

Conclusions:

  • Specific acoustic features reliably predict voice type perception.
  • Harmonic/noise ratio and fundamental frequency characteristics are significant for voice classification.
  • Objective acoustic measures offer a valuable tool for understanding voice quality and perception.