Document Detail


Assessing the benefit of adaptive null-steering using real-world signals.
MedLine Citation:
PMID:  20192874     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study compared the noise reduction of adaptive null-steering and near-hypercardioid directional hearing-aid algorithms via performance on real-world signals. Using subject-individualized and generic (i.e. similar to current hearing aids), off-line frequency-domain implementations, we processed recordings made through two microphones of a BTE device worn by five subjects. Recording scenarios included homes, offices, cafés, streets, buses, and automobiles. We found practically all (> 95% of recording time) adaptive noise-reduction benefit for generic implementations is below 1.2 dB, and 96% and 92% is below 2 dB for 16-and 32-band individualized implementations, respectively. A 256-band, individualized implementation showed a majority of benefit between 1-4 dB. We found no extended (> 2 s) continuous periods of significant (> 2 dB) benefit for the generic adaptive implementations. The recordings-having many independent and simultaneously active sources, spatially extended sources, significant reverberation, or combinations thereof-indicate an environment comprising few instances of high direct-to-diffuse energy situations. Combined with results from previous field trials, the evidence suggests that such an environment is common and represents a significant limitation on adaptive benefit.
Authors:
William S Woods; Ivo Merks; Tao Zhang; Kelly Fitz; Brent Edwards
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  International journal of audiology     Volume:  49     ISSN:  1708-8186     ISO Abbreviation:  Int J Audiol     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-05-20     Completed Date:  2010-09-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101140017     Medline TA:  Int J Audiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  434-43     Citation Subset:  IM    
Affiliation:
Starkey Laboratories, Inc., Eden Prairie, Minnesota, USA. william_woods@starkey.com
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Auditory Threshold*
Computer Simulation
Female
Hearing Aids*
Hearing Loss, Sensorineural / rehabilitation*
Humans
Male
Perceptual Masking*
Prosthesis Design
Signal Processing, Computer-Assisted*
Social Environment
Sound Localization*
Sound Spectrography
Speech Acoustics
Speech Perception*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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