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Speech Coding Algorithms: Foundation and Evolution of Standardized Coders / Edition 1

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  • Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol
  • This book collects many of the techniques used in speech coding and presents them in an accessible fashion
  • Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present
  • The theory behind the applications is thoroughly analyzed and proved
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Editorial Reviews

From the Publisher
“…well equipped with exercises and with procedures which are helpful in implementing the coders…” (Zentralblatt Math, Vol.1041, No.16, 2004)
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Product Details

  • ISBN-13: 9780471373124
  • Publisher: Wiley
  • Publication date: 4/18/2003
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 584
  • Product dimensions: 6.44 (w) x 9.41 (h) x 1.42 (d)

Meet the Author

WAI C. CHU earned a PhD in Electrical Engineering from the Pennsylvania State University. His industry experience includes positions at Texas Instruments and various startup companies in the multimedia field. Currently at DoCoMo USA Labs (San Jose, California), he is involved with R&D activities in speech/audio coding, digital signal processing, and multimedia applications.

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Table of Contents





Signal Processing Techniques.

Stochastic Processes and Models.

Linear Prediction.

Scalar Quantization.

Pulse Code Modulation and Its Variants.

Vector Quantization.

Scalar Quantization of Linear Prediction Coefficient.

Linear Prediction Coding.

Regular-Pulse Excitation Coders.

Code-Excited Linear Prediction.

The Federal Standard Version of CELP.

Vector Sum Excited Linear Prediction.

Low-Delay CELP.

Vector Quantization of Linear Prediction Coefficient.

Algebraic CELP.

Mixed Excitation Linear Prediction.

Source-Controlled Variable Bit-Rate CELP.

Speech Quality Assessment.

Appendix A: Minimum-Phase Property of the Forward Prediction-Error Filter.

Appendix B: Some Properties of Line Spectral Frequency.

Appendix C: Research Directions in Speech Coding.

Appendix D: Linear Combiner for Pattern Classification.

Appendix E: CELP: Optimal Long-Term Predictor to Minimize the Weighted Difference.

Appendix F: Review of Linear Algebra: Orthogonality, Basis, Linear Independence, and the Gram-Schmidt Algorithm.



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  • Anonymous

    Posted December 11, 2003

    A high-quality introduction

    I purchased this book four months ago and so far I found it to be well-organized and current. The author stresses the algorithmic details of production coders (or standardized coders), adding a refreshing realism to the book. The book emphasizes on implementation, with no lack on the theoretical aspects, where thorough mathematical proofs are included. Its extensive set of references serves as a roadmap through the literature and allows the reader to follow developments in the field over time. I would like to see the author to incorporate more recent standards (such as AMR-WB and SMV) in future revisions; however, the present version is excellent and the intended audience, graduate students and researchers, will find the book to be a high-quality introduction to speech coding.

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