Online Personalization of Hearing Instruments

<p/> <p>Online personalization of hearing instruments refers to learning preferred tuning parameter values from user feedback through a control wheel (or remote control), during normal operation of the hearing aid. We perform hearing aid parameter steering by applying a linear map from a...

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Main Authors: Ypma Alexander, Geurts Job, &#214;zer Serkan, van der Werf Erik, de Vries Bert
Format: Article
Language:English
Published: SpringerOpen 2008-01-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Online Access:http://asmp.eurasipjournals.com/content/2008/183456
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spelling doaj-a14cbac123e4452c92dd72b3a1c894132020-11-25T01:30:41ZengSpringerOpenEURASIP Journal on Audio, Speech, and Music Processing1687-47141687-47222008-01-0120081183456Online Personalization of Hearing InstrumentsYpma AlexanderGeurts Job&#214;zer Serkanvan der Werf Erikde Vries Bert<p/> <p>Online personalization of hearing instruments refers to learning preferred tuning parameter values from user feedback through a control wheel (or remote control), during normal operation of the hearing aid. We perform hearing aid parameter steering by applying a linear map from acoustic features to tuning parameters. We formulate personalization of the steering parameters as the maximization of an expected utility function. A sparse Bayesian approach is then investigated for its suitability to find efficient feature representations. The feasibility of our approach is demonstrated in an application to online personalization of a noise reduction algorithm. A patient trial indicates that the acoustic features chosen for learning noise control are meaningful, that environmental steering of noise reduction makes sense, and that our personalization algorithm learns proper values for tuning parameters.</p>http://asmp.eurasipjournals.com/content/2008/183456
collection DOAJ
language English
format Article
sources DOAJ
author Ypma Alexander
Geurts Job
&#214;zer Serkan
van der Werf Erik
de Vries Bert
spellingShingle Ypma Alexander
Geurts Job
&#214;zer Serkan
van der Werf Erik
de Vries Bert
Online Personalization of Hearing Instruments
EURASIP Journal on Audio, Speech, and Music Processing
author_facet Ypma Alexander
Geurts Job
&#214;zer Serkan
van der Werf Erik
de Vries Bert
author_sort Ypma Alexander
title Online Personalization of Hearing Instruments
title_short Online Personalization of Hearing Instruments
title_full Online Personalization of Hearing Instruments
title_fullStr Online Personalization of Hearing Instruments
title_full_unstemmed Online Personalization of Hearing Instruments
title_sort online personalization of hearing instruments
publisher SpringerOpen
series EURASIP Journal on Audio, Speech, and Music Processing
issn 1687-4714
1687-4722
publishDate 2008-01-01
description <p/> <p>Online personalization of hearing instruments refers to learning preferred tuning parameter values from user feedback through a control wheel (or remote control), during normal operation of the hearing aid. We perform hearing aid parameter steering by applying a linear map from acoustic features to tuning parameters. We formulate personalization of the steering parameters as the maximization of an expected utility function. A sparse Bayesian approach is then investigated for its suitability to find efficient feature representations. The feasibility of our approach is demonstrated in an application to online personalization of a noise reduction algorithm. A patient trial indicates that the acoustic features chosen for learning noise control are meaningful, that environmental steering of noise reduction makes sense, and that our personalization algorithm learns proper values for tuning parameters.</p>
url http://asmp.eurasipjournals.com/content/2008/183456
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AT 214zerserkan onlinepersonalizationofhearinginstruments
AT vanderwerferik onlinepersonalizationofhearinginstruments
AT devriesbert onlinepersonalizationofhearinginstruments
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