Noise Reduction in Speech Applications

Series:
Electrical Engineering & Applied Signal Processing Series
Published:
April 18, 2002 by CRC Press - 432 Pages
Editor(s):
Gillian M. Davis

Purchasing Options

Hardback
$199.95
Add to cart
ISBN 9780849309496
Cat# 0949
eBook
Purchase >
ISBN 9781420041262
Cat# E0949
 

Features

  • Takes a systems approach that enables readers to better understand how to select the most appropriate technique to use in a given situation
  • Includes tutorial material providing background on digital signal processing techniques and noise in digital speech communication systems
  • Helps readers decide which, if any, noise reduction technique is appropriate for their own systems and how to make the best use of the available technologies
  • Examines single channel speech enhancers, microphone arrays, and echo canceller noise reduction algorithms in detail
  • Looks at the issues related to a range of applications and the results achievable with noise reduction techniques
  • Provides audio wavefiles on the Web and example code that illustrate noise problems and solutions

    • Summary

    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.

    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

    Downloads Updates


    Resource OS Platform Updated Description Instructions
    0949_6.zip All Windows Version January 26, 2004
    0949_7.zip All Windows Version January 26, 2004
    0949_8.zip All Windows Version January 26, 2004
    0949_14.zip All Windows Version January 26, 2004
    0949_15.zip All Windows Version January 26, 2004
    0949_16.zip All Windows Version January 26, 2004

    Related Titles