Adaptive Processing With Feature Extraction To Enhance The Intelligibility Of Noise-Corrupted Speech

Robert J. Conway; Russell J. Niederjohn

doi:10.1117/12.968269

1 January 1987 Adaptive Processing With Feature Extraction To Enhance The Intelligibility Of Noise-Corrupted Speech

Robert J. Conway, Russell J. Niederjohn

Proceedings Volume 0858, Signal Acquisition and Processing; (1987) https://doi.org/10.1117/12.968269
Event: IECON, Cambridge, 1987, Cambridge, MA, United States

Abstract

In this paper a method is proposed to provide enhancement of the intelligibilty of speech which has been contaminated by additive noise. The method is based on the assumption that intelligibility enhancement can be achieved by making use of information directly related to speech intelligibility. A structure which provides the means to implement the method is presented and a discussion of some preliminary results obtained with the method is included.

Citation Download Citation

Robert J. Conway and Russell J. Niederjohn "Adaptive Processing With Feature Extraction To Enhance The Intelligibility Of Noise-Corrupted Speech", Proc. SPIE 0858, Signal Acquisition and Processing, (1 January 1987); https://doi.org/10.1117/12.968269

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