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Re: ICA, a key to solve the puzzle of he aring $(Aˋ

If you google for independent component analysis and hearing aids you'll
get plenty of relevant references.  There have been a lot of papers on
this subject and people are actively working on it.  Most work I've seen
has been using multichannel formulations, which given the prior work on
beamforming for hearing aids seemed like a natural thing.  Single
channel formulations are a bit more complex and will probably take their
time to debut on hearing aids.  Integrating any of the other more
"perceptual" things you can do with ICA on a hearing aid requires a lot
more work on interfacing with the human hearing system.

Regardless, using any such separation algorithm on a hearing aid is an
ill-defined concept.  What is needed is a source separation algorithm
that will separate what you want to listen to.  And quite frankly I'd be
very impressed if anyone can come up with an algorithm that can predict
a user's auditory focus.


Guoping Li wrote:
Dear all,

I came across the term 'ICA'(Independent component analysis), which could be used to separate multiple independent sources (Poerre Comon,1994; Paris Smaragdis,2001).  ICA now is used very widely in biomedical signal processing (EEG, EMG...) as well as image processing. Paris  $(Aã2001ãshowed that ICA could be used as an unify platform for the perceptual framework of hearing (preprocessing, grouping and scene analysis).

The deaf, even with the  hearing aid or cochlear implant,  has difficulties of understanding and separating the sound sources in adverse environment, such as in a 'cocktail party'.  And It seems the present  signal processing technique  used in hearing aid or cochlear implant provides  little help in such situation.

ICA was designed to solve the problem of cocktail party effect using higher order statistical methods. Is it possible that we can use this technique and implement it in the hearing aid or cochlear implant? Is there any paper which is relared to the implementation of ICA in the hearing aid or cochlear implantË

I would be very grateful if anybody could  make some comments or provide related resources.


Guoping LI
Institute of Sound and Vibration Research
Hearing and Balance Center
University of Southampton, SO17 1BJ, UK
Tel 023 80592842