DocumentCode :
2936198
Title :
Environmental noise reduction based on speech/non-speech identification for hearing aids
Author :
Itoh, Kenzo ; Mizushima, Masahide
Author_Institution :
NTT Human Interface Labs., Tokyo, Japan
Volume :
1
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
419
Abstract :
We proposed a very practical and useful noise reduction system that has wide application for hearing impaired persons, such as a sound-gathering system at a lecture hall or conference room. The system uses two basic technologies, a speech/non-speech identification process and a new noise reduction process. A speech/non-speech identification process uses four characteristics of the time and frequency domains of the input signal. In the noise reduction process, frequency weighting function is used for basic spectral subtraction and a loss control algorithm. Various kinds of environmental noise were reduced by this system, which showed excellent performance. Noise is further reduced by using a multi-microphone system as an acoustic noise suppressor. The results of intelligibility tests using persons with hearing loss show excellent noise reduction
Keywords :
acoustic noise; acoustic signal processing; audio systems; frequency-domain analysis; handicapped aids; hearing aids; microphones; noise abatement; noise pollution; speech intelligibility; speech processing; time-domain analysis; acoustic noise suppressor; conference room; environmental noise reduction; frequency domain; frequency weighting function; hearing aids; hearing impaired persons; hearing loss; input signal; intelligibility tests; lecture hall; loss control algorithm; multimicrophone system; noise reduction system; performance; sound gathering system; spectral subtraction; speech/nonspeech identification; time domain; Acoustic noise; Acoustic testing; Auditory system; Deafness; Frequency domain analysis; Noise reduction; Signal processing; Speech enhancement; Speech processing; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.599662
Filename :
599662
Link To Document :
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