Improvement of cochlear implant stimulation strategies using auditory modeling

Suyash Narendra Joshi

The signal processing parameters of hearing assistive devices (hearing aids, cochlear implants) are presently fitted to a listener based on individual performance in simple tasks such as  detection of sounds and rating of subjective levels. While this is efficient in terms of time in clinical practice, the performance in more complex listening tasks with the fitted settings is unsatisfactory and so far not considered in the fitting procedure. In general, the performance of listeners using hearing assistive devices (aided listeners) in more complex tasks is rather poor. In particular, aided listeners using a cochlear implant (CI) have great difficulties in perceiving auditory attributes contributing to the quality of sound and speech perception in noisy environments. One challenge of current hearing research is to understand the mechanisms underlying this degraded performance and to provide an objective measure of listening performance of aided listeners. Even though the normal hearing system can be modeled to a large extent, the auditory processing of sound preprocessed by hearing instrument signal processing is unclear. In particular, an objective measure of performance which can be used for improved hearing instrument fitting is missing.
A combined modeling and experimental approach will be taken to systematically investigate the influence of CI signal processing on auditory signal processing and perception. The results of this project are expected to contribute to an improved understanding of the auditory signal processing in CI listeners and to provide a deeper understanding of the influence of signal processing strategies used in hearing assistive devices on listening performance.


Suyash Narendra Joshi
DTU Health Tech
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