Ming Dai

Publication Date

1997

Document Type

Dissertation/Thesis

First Advisor

Kuo, Sen M. (Sen-Maw)

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Speech processing systems; Sound--Equipment and supplies

Abstract

In many speech communication settings, the presence of background interference degrades the quality or intelligibility of speech. In the typical singlechannel speech enhancement systems discussed in this thesis, the noisy speech is picked up by only one microphone. Three techniques - spectral subtraction, self-excited method, and subband structures associated with their corresponding voice activity detector — are developed by using short-term spectral magnitude techniques. The variable-length windows are used in noisy speech component estimates, noise component estimates and voice activity detector. Spectral subtraction and pseudo-quadrature mirror filter (PsQMF) speech enhancement systems are developed based on the TMS320C50 digital signal processor. These systems are designed to remove additive background noise and improve speech quality. After speech enhancement processing, the output is the enhanced speech. Both computer simulations and real-time experiment results are presented to show the performance of these techniques. The Itakura distance was chosen to evaluate the performance of these speech enhancement techniques.

Comments

Includes bibliographical references (pages [113]-114)

Extent

xii, 117 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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