The goal to our research is to produce a hearing-aid algorithm that would enhance the intelligibility of the hearing impaired in noisy conditions. For this we have been using machine learning techniques to derive the important statistical quantities describing the differences between the normal and impaired auditory systems auditory nerves. This leads to a technique we call Neurocompensation because it is essentially trying to re-establish the neural response of the auditory system after hair cell loss.
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