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Intrasubject variability of objective voice measures

I D Bough1, R J Heuer, R T Sataloff

  • 1Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.

Journal of Voice : Official Journal of the Voice Foundation
|June 1, 1996
PubMed
Summary
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Objective voice analysis instruments require validation. This study assessed measurement consistency and explored factors like mood and sleep affecting voice data, offering usage guidelines.

Area of Science:

  • Speech-language pathology
  • Acoustic analysis
  • Voice science

Background:

  • Accurate objective voice measurements are crucial for diagnosing and treating voice disorders.
  • Many widely used voice analysis instruments lack rigorous testing for reliability and consistency.
  • Understanding factors influencing voice data is essential for clinical application.

Purpose of the Study:

  • To evaluate the intrasubject variability of objective voice measurements from two common instruments.
  • To investigate correlations between acoustic measures and physiological/environmental factors.
  • To provide guidelines for the appropriate use of voice analysis instruments.

Main Methods:

  • Intrasubject variability assessment of two voice analysis instruments.

Related Experiment Videos

  • Correlation analysis of acoustic measures with mood, temperature, sleep, meal timing, and hydration.
  • Data collection from human subjects undergoing voice analysis.

    • Main Results:

    • Variability in objective voice measurements was quantified for the tested instruments.
    • Weak but statistically significant correlations were found between acoustic measures and several subjective/environmental factors.
    • Specific influencing factors on voice data were identified and discussed.

    Conclusions:

    • The reliability and consistency of objective voice analysis instruments need careful consideration.
    • Subjective and environmental factors can subtly influence acoustic voice measures.
    • Guidelines are proposed to enhance the appropriate and reliable use of voice analysis tools in clinical practice.