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Digital Speech: Coding for Low Bit Rate Communication Systems, 2nd Edition Hardcover – October 29, 2004

ISBN-13: 978-0470870075 ISBN-10: 0470870079 Edition: 2nd

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Product Details

  • Hardcover: 458 pages
  • Publisher: Wiley; 2 edition (October 29, 2004)
  • Language: English
  • ISBN-10: 0470870079
  • ISBN-13: 978-0470870075
  • Product Dimensions: 6.6 x 1.2 x 9.6 inches
  • Shipping Weight: 2.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #6,014,411 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

Building on the success of the first edition Digital Speechoffers extensive new, updated and revised material based upon thelatest research. This Second Edition continues to providethe fundamental technical background required for low bit ratespeech coding and the hottest developments in digital speech codingtechniques that are applicable to evolving communication systems.
  • Features new chapters on Pitch Estimation and Voice-UnvoicedClassification of Speech, Harmonic Speech Coding andMultimode Speech Coding
  • Presents a comprehensively revised chapter entitled Analysisby Synthesis LPC Coding including specific examples of popularspeech coders such as CELP (Code-Excited Linear Predictive)Coding
  • Contains an updated chapter on Efficient LPC QuantizationMethods including MSVQ and anti-aliasing filtering
  • Discusses Voice Activity Detection (VAD) methods
  • Offers expanded coverage of speech enhancement techniques suchas echo cancellation and noise suppression

Written by a well-known, highly respected academic, thisauthoritative volume will be invaluable to practising engineers,network designers, computer scientists and advanced students incommunications, electrical and electronic engineering.

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1 of 1 people found the following review helpful By calvinnme HALL OF FAMETOP 1000 REVIEWERVINE VOICE on March 10, 2007
Format: Paperback
This book has some good background material on speech coding plus some material on new speech processing and coding techniques. In order to lay the foundation of speech coding technology the book reviews sampling, quantizations, and then the basic nature of speech signals and the theory and tools applied in speech coding. The last two chapters of the book consists of some recent research in the areas of voice activity detection and speech enhancement.

This book shows a real disconnect in style between its first nine chapters and the last two. The first nine are very well written and cover all the basics of speech coding. The mathematical aspects of speech coding are clearly laid out and derived, and the book makes liberal use of some very good illustrations that model various parts of speech coders in block diagram form. In order to understand all of this, though, you should already have a good grasp of digital signal processing and probability theory including random processes. Particularly good are the discussions on the short-time Fourier transform of speech and the effects windowing has on it, the long-term prediction of speech, and pitch detection methods. The last two chapters are written like research papers, and are not very clear at all. There is quite a bit of probability theory on display there, and the notation is hard to discern. There are no exercises at all in this book, but each chapter does have a pretty good summary, even the research chapters.

I would say if you want to learn about speech coding this is a good economical way to learn, although I think Speech Coding Algorithms: Foundation and Evolution of Standardized Coders by Chu is probably a better book for beginners. You might want to stop reading after chapter nine of this book unless you are just extremely interested in the research portion.
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