DocumentCode
1857659
Title
Multi-microphone noise cancellation for improvement of hearing aid performance
Author
Shields, P.W. ; Campbell, D.R.
Author_Institution
Dept. of Electron. Eng. & Phys., Paisley Coll. of Technol., UK
Volume
6
fYear
1998
fDate
12-15 May 1998
Firstpage
3633
Abstract
A scheme for binaural pre-processing of speech signals for input to a standard linear hearing aid has been investigated. The system is based on that of Toner & Campbell (1993) who applied the least mean squares (LMS) algorithm in sub-bands to speech signals from various acoustic environments and signal to noise ratios (SNR). The processing scheme attempts to take advantage of the multiple inputs to perform noise cancellation. The use of sub-bands enables a diverse processing mechanism to be employed, where the wide-band signal is split into smaller frequency limited sub-bands, which can subsequently be processed according to their signal characteristics. The results of a large scale series of intelligibility tests are presented from experiments in which acoustic speech and noise data, generated using simulated and real-room acoustics was tested on hearing impaired volunteers
Keywords
acoustic signal processing; architectural acoustics; hearing aids; least mean squares methods; microphones; noise abatement; speech intelligibility; speech processing; LMS; SNR; acoustic environments; acoustic noise data; binaural pre-processing; experiments; hearing aid performance improvement; hearing impaired volunteers; intelligibility tests; least mean squares algorithm; linear hearing aid; multi-microphone noise cancellation; multiple inputs; noise cancellation; real-room acoustics; signal characteristics; signal to noise ratios; simulated acoustics; speech signals; sub-bands; wide-band signal; Acoustic testing; Auditory system; Frequency diversity; Large-scale systems; Least squares approximation; Noise cancellation; Signal processing; Signal to noise ratio; Speech enhancement; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.679669
Filename
679669
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