Noise Reduction In Speech Applications

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Overview

Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical.

Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented.

The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.

Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical.Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented. The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.

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Editorial Reviews

From The Critics
Davis (Managing Director, Noise Cancellation Technologies Ltd.) presents 16 chapters exploring the effects of interfering noise and distortion on speech applications and introducing techniques for reducing their influence. A systems approach is taken that emphasizes locating the most appropriate technique for each stage with an eye towards the best overall result. After an introductory chapter on digital signal processing and adaptive filtering, topics addressed include systems aspects; digital algorithms and implementations of single-channel speech enhancers, microphone arrays, and echo cancellers; and applications in the more specialized areas of speech recognition, Internet telephony, and digital hearing aids. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

Table of Contents

TUTORIAL
Noise and Digital Signal Processing, Stephan Weiss, Robert W. Stewart, Gillian M. Davis
SYSTEM ASPECTS
Analogue Techniques, Malcolm Hawksford
Hardware Design Considerations, Robert S. Oshana
Software Design Considerations for Real-Time DSP Systems, Elizabeth Keate
Evaluating the Effects of Noise on Voice Communication Systems, William D. Voiers, Alan D. Sharpley, Ira L. Panzer
DIGITAL ALGORITHMS AND IMPLEMENTATION
Single Channel Speech Enhancement, Graham P. Eatwell
Microphone Arrays, Stephen J. Leese
Echo Cancellation, Stephen J. Leese
SPECIAL APPLICATIONS
Signal and Feature Compensation Methods for Robust Speech Recognition, Rita Singh, Richard M. Stern, Bhiksha Raj
Model Compensation and Matched Condition Methods for Robust Speech Recognition, Rita Singh, Bhiksha Raj, Richard M. Stern
Noise and Voice Quality in VoIP Environments, Dennis Hardman
Noise Canceling Headsets for Speech Communication, Lars Håkansson, Sven Johansson, Mattias Dahl, Per Sjösten, Ingvar Claesson
Acoustic Crosstalk Reduction in Loudspeaker-Based Virtual Audio Systems, Darren B. Ward
Interference in Telephone Circuits, George Keratiotis, Larry Lind, Minesh Patel, John W. Cook, Peter Whelan
An Adaptive Beamforming Perspective on Convolutive Blind Source Separation, Lucas Parra, Craig Fancourt
Use of DSP Techniques to Enhance the Performance of Hearing Aids in Noise, Douglas Chabries, Victor Bray

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