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An algorithm that administers adaptive speech-in-noise testing to a specified reliability at selectable points on the

Gitte Keidser1, Harvey Dillon, Jorge Mejia

  • 1National Acoustic Laboratories and the Hearing CRC , Sydney, New South Wales , Australia.

International Journal of Audiology
|August 21, 2013
PubMed
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This study verified an adaptive speech-in-noise testing algorithm, confirming its reliability for speech reception threshold measurements. Further testing is recommended if target variability isn't met initially.

Area of Science:

  • Audiology
  • Speech-language pathology
  • Signal processing in acoustics

Background:

  • Accurate speech-in-noise testing is crucial for hearing aid fitting and auditory rehabilitation.
  • Existing methods can be time-consuming and may lack consistent reliability.
  • Adaptive algorithms offer potential for efficient and reliable assessment.

Purpose of the Study:

  • To introduce and validate an algorithm for adaptive speech-in-noise testing.
  • To achieve a specified reliability level at selectable points on the psychometric function.
  • To compare the algorithm's performance against manual administration.

Main Methods:

  • Speech-in-noise performance was assessed using BKB sentences in babble noise with morphemic scoring.
  • The algorithm targeted a test-retest standard deviation of 1.13 dB within 32 sentences.

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Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses
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Behavioral Assessment of Hearing in 2 to 4 Year-old Children: A Two-interval, Observer-based Procedure Using Conditioned Play-based Responses

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  • Normal-hearing and hearing-impaired participants underwent repeated measures with the automated procedure at various target percentages.

    • Main Results:

    • The algorithm yielded comparable speech reception thresholds to manual methods but with lower test-retest reliability in normal-hearing listeners.
    • Significantly different results were observed across target points (p < 0.04) with reliability near expected values.
    • Target accuracy was not achieved within 32 sentences for 18% of hearing-impaired participants' measurements.

    Conclusions:

    • The algorithm's reliability for speech-in-noise testing was confirmed.
    • A recommendation for a second test is advised if initial target variability is not met.
    • The adaptive algorithm shows promise for efficient audiological assessments.