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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2008-01-01
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Series: | EURASIP Journal on Audio, Speech, and Music Processing |
Online Access: | http://asmp.eurasipjournals.com/content/2008/183456 |
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doaj-a14cbac123e4452c92dd72b3a1c894132020-11-25T01:30:41ZengSpringerOpenEURASIP Journal on Audio, Speech, and Music Processing1687-47141687-47222008-01-0120081183456Online Personalization of Hearing InstrumentsYpma AlexanderGeurts JobÖzer 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 Özer Serkan van der Werf Erik de Vries Bert |
spellingShingle |
Ypma Alexander Geurts Job Özer 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 Özer 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 |
work_keys_str_mv |
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1725090607148302336 |