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Performance-intensity functions at absolute and masked thresholds

G A Studebaker1, C Gilmore, R L Sherbecoe

  • 1Memphis State University, Memphis Speech and Hearing Center, Tennessee 38105.

The Journal of the Acoustical Society of America
|June 1, 1993
PubMed
Summary
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This study found that absolute hearing thresholds and noise maskers similarly impact speech recognition performance. This supports using absolute thresholds as a proxy for masked thresholds in performance predictions.

Area of Science:

  • Audiology
  • Speech Science
  • Psychoacoustics

Background:

  • Audibility and articulation theories often assume similar effects of absolute thresholds and thermal noise maskers on speech recognition performance-intensity (P-I) functions.
  • This assumption is critical for predicting speech recognition performance across different listening conditions.

Purpose of the Study:

  • To evaluate the assumption that absolute thresholds and thermal noise maskers affect speech recognition P-I functions similarly.
  • To determine if absolute thresholds can be reliably used as a proxy for masked thresholds in speech recognition models.

Main Methods:

  • Eight normal-hearing subjects participated in the study.
  • Performance-intensity functions for NU-6 monosyllabic words were measured in quiet and in the presence of two noise levels.

Related Experiment Videos

  • The noise levels were calibrated to produce masked pure-tone thresholds parallel to, but higher than, individual absolute thresholds.

    • Main Results:

    • Speech recognition performance-intensity functions were obtained under different masking conditions.
    • The results indicated a consistent relationship between absolute thresholds and performance in noise.
    • The findings support the parallel nature of P-I functions regardless of whether absolute or masked thresholds are considered.

    Conclusions:

    • The study supports the practice of treating absolute threshold as equivalent to a noise-masked threshold for predicting speech recognition performance.
    • This finding simplifies audibility and articulation theory applications by validating the use of absolute thresholds in predictive models.
    • The results have implications for clinical audiology and the development of speech recognition technologies.