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Comfortable loudness level: stimulus effects, long-term reliability, and predictability.

R M Cox1

  • 1Memphis State University.

Journal of Speech and Hearing Research
|December 1, 1989
PubMed
Summary
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Determining comfortable loudness levels is crucial for hearing aid fittings. This study found speech-based comfort levels are higher and developed a more accurate prediction method for hearing aid gain prescriptions.

Area of Science:

  • Audiology
  • Hearing Science
  • Acoustics

Background:

  • Comfortable loudness levels (CLLs) are essential for effective hearing aid gain prescriptions.
  • Previous research has not fully elucidated factors influencing CLLs or their reliability in hearing-impaired individuals.

Purpose of the Study:

  • To investigate factors affecting comfortable loudness levels (CLLs) in normal and hearing-impaired listeners.
  • To assess the reliability of CLLs over time in hearing-impaired subjects.
  • To develop and validate a new regression-based method for predicting CLLs to improve hearing aid fitting.

Main Methods:

  • Experiment 1: Assessed CLLs using various stimulus types (speech, noise, tones) and parameters in normal and hearing-impaired listeners.
  • Experiment 2: Evaluated the test-retest reliability of CLLs in hearing-impaired subjects over two years.

Related Experiment Videos

  • Experiment 3: Developed regression equations using thresholds and CLLs at 500 Hz and 4,000 Hz, then validated the prediction method.
  • Main Results:

    • Speech band comfort levels were significantly higher than noise or tone comfort levels.
    • CLLs were independent of stimulus bandwidth and warble tone modulation.
    • CLLs showed slightly lower reliability than hearing thresholds, with a potential small increase after amplified sound exposure.
    • The new regression-based prediction method significantly improved the accuracy of predicting comfort levels compared to threshold-only methods.

    Conclusions:

    • Speech-based CLLs provide a more accurate target for hearing aid gain than other stimuli.
    • The developed regression equations offer a more precise method for predicting CLLs, enhancing hearing aid fitting procedures.
    • Understanding and accurately predicting CLLs are vital for optimizing audiological rehabilitation and patient satisfaction.