FEIT Research Project Database

Individualised cochlear implant sound coding: Optimised algorithms for better hearing

Project Leader: David Grayden
Staff: Anthony Burkitt, Demi Gao
Primary Contact: David Grayden (grayden@unimelb.edu.au)
Keywords: audition, speech and bionic ear design; auditory processing; biomedical engineering; cochlear implant; neural models
Disciplines: Biomedical Engineering,Electrical & Electronic Engineering
Domains: Convergence of engineering and IT with the life sciences
Research Centre: Neuroengineering Research Laboratory

This project will develop a method of electrical stimulation for individual cochlear implant users that optimally matches normal hearing. Our approach is based upon developing models of neural responses and the application of established information theoretic methods. The key outcome of the project is an entirely new type of cochlear implant sound coding strategy that could substantially increase the speech perception of users.