Abstract
Cochlear implants (CI) are devices that become more
and more sophisticated and adapted to the need of
patients, but at the same time they become more and
more difficult to parameterise. After a deaf patient
has been surgically implanted, a specialised medical
practitioner has to spend hours during months to
precisely fit the implant to the patient. This process
is a complex one implying two intertwined tasks: the
practitioner has to tune the parameters of the device
(optimisation) while the patient's brain needs to adapt
to the new data he receives (learning). This paper
presents a study that intends to make the implant more
adaptable to environment (auditive ecology) and to
simplify the process of fitting. Real experiments on
volunteer implanted patients are presented, that show
the efficiency of interactive evolution for this
purpose.
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