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"Optimum" filter for speech enhancement using integrated digital signal processors

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1 Author(s)
Doblinger, G. ; Technische Universitaet Wien, Vienna, Austria

An algorithm for adaptive filtering of speech in additive acoustic noise is presented. In comparison with other speech enhancement algorithms a very low computational cost is required. The efficiency of the algorithm is achieved by proper modifications of a Wiener optimum filter with a filter bank. Due to the use of digital Lerner band pass filters a very compact filter bank structure is obtained. The speech enhancement system has been implemented with INTEL 2920 signal processors. As a result, the quality of noisy speech signals band-limited to (300-3.300) Hz can be improved for input signal to noise ratios as low as -5dB.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.  (Volume:7 )

Date of Conference:

May 1982