Objectif
A cochlear implant (CI) is a device which restores hearing in deaf people by electrically stimulating the auditory nerve. It is the most successful neural prosthesis ever developed. Routine cochlear implantation began in the 1970s and since then CIs have helped restore hearing in over 120,000 deaf people world wide. When CIs were first commercialized the advantages of having a CI were limited and speech recognition after implantation was often poor. As a result only the profoundly deaf were implanted. Advances in speech processing strategies and implant design now mean that most CI users can effectively converse over the telephone but speech recognition in noise, understanding multi-talker speech and music appreciation remain problematic. As a result these advances people with some residual hearing, who would previously not have been considered for implantation, are now being implanted on a routine basis. Recent studies have shown that these CI users with residual low frequency hearing have both better speech recognition in noise and melody recognition. This phenomenon, referred to as low frequency acoustic advantage (LFAA) in such CI users, is poorly understood. The objective of this project is to determine the acoustic cues that produce the LFAA and to understand the neural mechanisms that underlie it. Speech recognition modeling will be used to reveal the important acoustic cues that mediate the LFAA and auditory evoked potential measurements will be used to gain a better understanding of the neural mechanism behind the LFAA. An improved understanding of the LFAA will allow us to develop CI processor designs and hearing aids which more fully exploit this advantage. These advances will directly benefit the hearing impaired community in Europe and increase European competitiveness within the biomedical technology sector.
Champ scientifique
Appel à propositions
FP7-PEOPLE-2009-IOF
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Régime de financement
MC-IOF - International Outgoing Fellowships (IOF)Coordinateur
D02 CX56 Dublin
Irlande