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Related Concept Videos

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When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
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Related Experiment Video

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Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss
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Exploration of a physiologically-inspired hearing-aid algorithm using a computer model mimicking impaired hearing.

Tim Jürgens1,2, Nicholas R Clark2,3, Wendy Lecluyse2,4

  • 1a Medizinische Physik, Forschungszentrum Neurosensorik and Cluster of Excellence 'Hearing4all', Carl-von-Ossietzky Universität Oldenburg , Oldenburg , Germany .

International Journal of Audiology
|February 27, 2016
PubMed
Summary

A novel hearing-aid algorithm was tested on a computer model of hearing impairment and human listeners. The algorithm improved hearing profiles, reducing thresholds and enhancing frequency selectivity, mimicking normal hearing.

Keywords:
Auditory modelalgorithm evaluationnormal and impaired hearingpsychoacoustics

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Area of Science:

  • Auditory Neuroscience
  • Psychoacoustics
  • Hearing Science

Background:

  • Hearing impairment significantly impacts auditory perception.
  • Existing hearing aid algorithms may not fully restore normal auditory function.

Purpose of the Study:

  • To evaluate a physiologically-inspired hearing aid algorithm using a computational model of impaired hearing.
  • To assess the algorithm's effect on psychoacoustic measures in both simulated and real-world hearing loss.

Main Methods:

  • A computer model simulating impaired hearing (absent basilar membrane compression) was developed.
  • The hearing aid algorithm's impact on absolute thresholds, compression, and frequency selectivity was analyzed.
  • Model predictions were validated using data from three hearing-impaired human listeners.

Main Results:

  • Pre-processing stimuli with the hearing aid algorithm significantly altered hearing profiles in both the model and human listeners.
  • Observed changes included lowered absolute thresholds, steeper temporal masking curves, and sharper psychophysical tuning curves.

Conclusions:

  • The hearing aid algorithm effectively modified the impaired hearing profile, bringing it closer to a normal hearing profile.
  • Qualitative similarities between model predictions and human listener results suggest the algorithm's potential efficacy.