Vikas Sharma

Publication Date

1995

Document Type

Dissertation/Thesis

First Advisor

Tahernezhadi, Mansour

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Speech processing systems; Adaptive signal processing

Abstract

The area of adaptive signal processing provides one approach for removing the undesirable component from the signal of interest. In this thesis we present algorithms for line enhancement and speech enhancement. Line enhancement deals with removal of a narrowband interference from the broadband signal of interest, while speech enhancement removes the noise from the speech signal. Under low signal to noise ratio (0 dB or less) the performance of line enhancer suffers. A novel AR- based line enhancer in conjuction with a notch filter is proposed. Such a scheme provides fast detectability and removal of interference under low SNR at the input. A Kalman filter based speech enhancement method is investigated in this thesis. The Kalman filter allows for the nonstationarity of speech signal. This concept is extended to a multirate approach and a subband based Kalman filter for speech enhancement is introduced.The basic ideas of multirate digital signal processing are discussed.

Comments

Includes bibliographical references (pages [134]-137)

Extent

xii, 137 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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