Document Detail


Improvements in intelligibility of noisy reverberant speech using a binaural subband adaptive noise-cancellation processing scheme.
MedLine Citation:
PMID:  11785824     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This article reports on the performance of an adaptive subband noise cancellation scheme, which performs binaural preprocessing of speech signals for a hearing-aid application. The multi-microphone subband adaptive (MMSBA) signal processing scheme uses the least mean squares (LMS) algorithm in frequency-limited subbands. The use of subbands enables a diverse processing mechanism to be employed, splitting the two-channel wide-band signal into smaller frequency-limited subbands, which can be processed according to their individual signal characteristics. The frequency delimiting used a linear- or cochlear-spaced subband distribution. The effect of the processing scheme on speech intelligibility was assessed in a trial involving 15 hearing-impaired volunteers with moderate sensorineural hearing loss. The acoustic material consisted of speech and speech-shaped noise signals, generated using simulated and real-room acoustic environments, at signal-to-noise ratios (SNRs) in the range -6 to +3 dB. The results show that the MMSBA scheme delivered average speech intelligibility improvements of 11.5%, with a maximum of 37.25%, in noisy reverberant conditions. There was no significant reduction in mean speech intelligibility due to processing, in any of the test conditions.
Authors:
P W Shields; D R Campbell
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The Journal of the Acoustical Society of America     Volume:  110     ISSN:  0001-4966     ISO Abbreviation:  J. Acoust. Soc. Am.     Publication Date:  2001 Dec 
Date Detail:
Created Date:  2002-01-10     Completed Date:  2002-01-30     Revised Date:  2006-12-27    
Medline Journal Info:
Nlm Unique ID:  7503051     Medline TA:  J Acoust Soc Am     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3232-42     Citation Subset:  IM    
Affiliation:
Electronic Engineering and Physics Division, School of Information and Communications Technologies, University of Paisley, Renfrewshire, Scotland, United Kingdom.
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MeSH Terms
Descriptor/Qualifier:
Acoustics
Female
Hearing Aids*
Hearing Loss, Sensorineural / rehabilitation*
Humans
Male
Middle Aged
Noise / adverse effects*
Speech Acoustics
Speech Perception / physiology*

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


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