DocumentCode :
1294713
Title :
Using Steady-State Suppression to Improve Speech Intelligibility in Reverberant Environments for Elderly Listeners
Author :
Arai, Takayuki ; Hodoshima, Nao ; Yasu, Keiichi
Author_Institution :
Dept. of Inf. & Commun. Sci., Sophia Univ., Tokyo, Japan
Volume :
18
Issue :
7
fYear :
2010
Firstpage :
1775
Lastpage :
1780
Abstract :
Reverberation is a large problem for speech communication and it is known that strong reverberation affects speech intelligibility. This is especially true for people with hearing impairments and/or elderly people. Several approaches have been proposed and discussed to improve speech intelligibility degraded by reverberation. Steady-state suppression is one such approach, in which speech signals are processed before being radiated through the loudspeakers of a public address system to reduce overlap masking, which is one of the major causes of degradation in speech intelligibility. We investigated whether the steady-state suppression technique improves the intelligibility of speech in reverberant environments for elderly listeners. In both simulated and actual reverberant environments, elderly listeners performed worse than younger listeners. The performance in an actual hall was better than with simulated reverberation, and this was consistent with the results for younger listeners. Although the normal hearing group performed better than the presbycusis group, the steady-state suppression technique improved the intelligibility of speech for elderly listeners as was observed for younger listeners in both simulated and actual reverberant environments.
Keywords :
handicapped aids; reverberation; speech intelligibility; speech processing; elderly listeners; hearing impairment; reverberant environment; speech communication; speech intelligibility; steady state suppression; Auditory system; Reverberation; Senior citizens; Speech; Speech processing; Steady-state; System-on-a-chip; elderly people; reverberation; speech intelligibility; steady-state suppression;
fLanguage :
English
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1558-7916
Type :
jour
DOI :
10.1109/TASL.2010.2052165
Filename :
5547557
Link To Document :
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