Post-doc vacancy: binaural speech enhancement for hearing aids (Stuart Rosen )

Subject: Post-doc vacancy: binaural speech enhancement for hearing aids
From:    Stuart Rosen  <s.rosen@xxxxxxxx>
Date:    Tue, 7 Jul 2015 16:20:30 +0100
List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>

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We have an open 2-year post-doc position to work on an EPSRC-funded 
project on binaural speech enhancement for hearing aids. Further 
information is enclosed and full details are at:

http://www.jobs.ac.uk/job/ALM808/research-associate/

The closing date is 29 July 2015.

If you are interested, please contact: mike.brookes@xxxxxxxx

Mike Brookes, Reader in Signal Processing, EEE Dept, Imperial College, 
London SW7 2BT, UK
   Tel: +44 (0) 20-7594-6165       Fax: +44 (0) 20-7823-8125
Email: mike.brookes@xxxxxxxx
   WWW: http://www.ee.imperial.ac.uk/hp/staff/dmb/dmb.html




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--------------080304030300090101060600
Content-Type: text/plain; charset="windows-1252"; name="Summary.txt"
Content-Transfer-Encoding: quoted-printable
Content-Disposition: attachment; filename="Summary.txt"

Age-related hearing loss affects over half the UK population aged over 60=
=2E Hearing loss makes communication difficult and so has severe negative=
 consequences for quality of life. The most common treatment for mild-to-=
moderate hearing loss is the use of hearing aids. However even with aids,=
 hearing impaired listeners are worse at understanding speech in noisy en=
vironments because their auditory system is less good at separating wante=
d speech from unwanted noise. One solution for this is to use speech enha=
ncement algorithms to amplify the desired speech signals selectively whil=
e attenuating the unwanted background noise.
It is well known that normal hearing listeners can better understand spee=
ch in noise when listening with two ears rather than with only one. Diffe=
rences between the signals at the two ears allow the speech and noise to =
be separated based on their spatial locations resulting in improved intel=
ligibility. Technological advances now make feasible the use of two heari=
ng aids that are able to share information via a wireless link. By sharin=
g information in this way, it becomes possible for the speech enhancement=
 algorithms within the hearing aids to localize sound sources more accura=
tely and, by jointly processing the signals for both ears, to ensure that=
 the spatial cues that are present in the acoustic signals are retained. =
It is the goal of this project to exploit these binaural advantages by de=
veloping speech enhancement algorithms that jointly enhance the speech re=
ceived by the two ears.
Most current speech enhancement techniques have evolved from the telecomm=
unications industry and are designed to act only on monaural signals. Man=
y of the techniques can improve the perceived quality of already intellig=
ible speech but binary masking is one of the few techniques that has been=
 shown to improve the intelligibility of noisy speech for both normal and=
 hearing impaired listeners. In the binary masking approach regions of th=
e time-frequency domain that contain significant speech energy are left u=
nchanged while regions that contain little speech energy are muted. In th=
is project we will extend existing monaural binary masking techniques to =
provide binaural speech enhancement while preserving the inter-aural time=
 and level differences that are critical for the spatial separation of so=
und sources. To train and tune our binaural speech enhancement algorithm =
we will also develop within the project an intelligibility metric that is=
 able to predict the intelligibility of a speech signal for a binaural li=
stener with normal or impaired hearing in the presence of competing noise=
 sources. This metric is the key to finding automatically the optimum set=
tings an individual listener's hearing aids in a particular environment.
The final evaluation and development of the binaural enhancement algorith=
m assess speech perception in noise in a panel of hearing-impaired listen=
ers who will also be asked to assess the quality of the enhanced speech s=
ignals.
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