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Simulated performance intensity functions.

Andrew Hines1, Naomi Harte

  • 1Department of Electrical and Electronic Engineering, Trinity College Dublin, Ireland. hinesa@tcd.ie

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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This study introduces a simulated performance intensity function (SPIF) test to assess hearing aid fitting methods. The simulation accurately predicts speech intelligibility, aiding hearing aid design and evaluation.

Area of Science:

  • Auditory Neuroscience
  • Hearing Aid Technology
  • Speech Perception Research

Background:

  • Evaluating hearing aid fitting methods traditionally requires extensive listener testing.
  • A need exists for rapid prototyping and early assessment of hearing aid designs.
  • Simulating speech intelligibility can accelerate the development of hearing aids.

Purpose of the Study:

  • To develop and validate a simulated performance intensity function (SPIF) test methodology.
  • To predict phoneme recognition using an auditory nerve model for various hearing loss levels.
  • To automate the analysis of auditory nerve discharge patterns (neurograms) for objective assessment.

Main Methods:

  • Developed a simulated performance intensity function (SPIF) test using an auditory nerve model.

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  • Created neurograms representing auditory nerve discharge patterns for normal and impaired hearing.
  • Implemented a novel image similarity metric for automated, consistent quantification of neurogram degradation.

    • Main Results:

    • The simulation successfully discriminated between normal hearing and sensorineural hearing loss.
    • Automated neurogram analysis using the image similarity metric provided consistent results.
    • Simulated results for unaided and aided listening conditions closely matched real listener data.

    Conclusions:

    • The developed SPIF methodology offers a viable simulation for assessing hearing aid fitting.
    • Automated neurogram analysis provides a consistent and objective measure of speech intelligibility.
    • This simulation approach enables rapid prototyping and early design assessment for hearing aids.