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Automated Methods of Assessing Hearing Aid Performance in Listeners With Impaired Hearing.

T W Fortune

    American Journal of Audiology
    |December 15, 2015
    PubMed
    Summary

    Automated methods for assessing hearing aid performance, including sound quality, speech intelligibility, and loudness, offer efficient clinical evaluation. These techniques provide comprehensive data to optimize hearing aid fittings and improve user satisfaction.

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    Area of Science:

    • Audiology
    • Hearing Science

    Background:

    • Traditional hearing aid fitting relies heavily on matching real ear insertion response to targets.
    • This approach may not fully capture subjective user experience or optimize audibility and clarity.

    Purpose of the Study:

    • To present automated, database-oriented methods for evaluating hearing aid performance in a clinical setting.
    • To demonstrate the feasibility of assessing sound quality, speech intelligibility, and loudness efficiently.

    Main Methods:

    • Development of automated behavioral assessment techniques.
    • Database-oriented system for client monitoring and comparative analysis of hearing aid circuits.
    • Integration of subjective and objective measures for comprehensive evaluation.

    Main Results:

    • The described methods are time-efficient and suitable for clinical application.
    • Database orientation facilitates longitudinal client tracking and evaluation of hearing aid success rates.
    • Combined subjective and objective data provide valuable insights for hearing aid selection and adjustment.

    Conclusions:

    • Formal assessment of sound quality, speech intelligibility, and loudness enhances hearing aid fitting.
    • These methods improve the likelihood of meeting user needs and achieving higher satisfaction.
    • A holistic evaluation approach surpasses solely matching insertion responses to targets.