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Spoken Language Processing: A Guide to Theory, Algorithm and System Development Paperback – May 5, 2001

ISBN-13: 007-6092010418 ISBN-10: 0130226165 Edition: 1st

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Spoken Language Processing: A Guide to Theory, Algorithm and System Development + Statistical Methods for Speech Recognition (Language, Speech, and Communication) + Fundamentals of Speech Recognition
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Product Details

  • Paperback: 1008 pages
  • Publisher: Prentice Hall; 1 edition (May 5, 2001)
  • Language: English
  • ISBN-10: 0130226165
  • ISBN-13: 978-0130226167
  • Product Dimensions: 1.9 x 6.8 x 8.9 inches
  • Shipping Weight: 3.2 pounds (View shipping rates and policies)
  • Average Customer Review: 4.7 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #320,149 in Books (See Top 100 in Books)

Editorial Reviews

From the Inside Flap

Preface

Our primary motivation in writing this book is to share our working experience to bridge the gap between the knowledge of industry gurus and newcomers to the spoken language processing community. Many powerful techniques hide in conference proceedings and academic papers for years before becoming widely recognized by the research community or the industry. We spent many years pursuing spoken language technology research at Carnegie Mellon University before we started spoken language R&D at Microsoft. We fully understand that it is by no means a small undertaking to transfer a state-of-the-art spoken language research system into a commercially viable product that can truly help people improve their productivity. Our experience in both industry and academia is reflected in the context of this book, which presents a contemporary and comprehensive description of both theoretic and practical issues in spoken language processing. This book is intended for people of diverse academic and practical backgrounds. Speech scientists, computer scientists, linguists, engineers, physicists, and psychologists all have a unique perspective on spoken language processing. This book will be useful to all of these special interest groups.

Spoken language processing is a diverse subject that relies on knowledge of many levels, including acoustics, phonology, phonetics, linguistics, semantics, pragmatics, and discourse. The diverse nature of spoken language processing requires knowledge in computer science, electrical engineering, mathematics, syntax, and psychology. There are a number of excellent books on the subfields of spoken language processing, including speech recognition, text-to-speech conversion, and spoken language understanding, but there is no single book that covers both theoretical and practical aspects of these subfields and spoken language interface design. We devote many chapters systematically introducing fundamental theories needed to understand how speech recognition, text-to-speech synthesis, and spoken language understanding work. Even more important is the fact that the book highlights what works well in practice, which is invaluable if you want to build a practical speech recognizer, a practical text-to-speech synthesizer, or a practical spoken language system. Using numerous real examples in developing Microsoft's spoken language systems, we concentrate on showing how the fundamental theories can be applied to solve real problems in spoken language processing.

From the Back Cover

  • New advances in spoken language processing: theory and practice
  • In-depth coverage of speech processing, speech recognition, speech synthesis, spoken language understanding, and speech interface design
  • Many case studies from state-of-the-art systems, including examples from Microsoft's advanced research labs

Spoken Language Processing draws on the latest advances and techniques from multiple fields: computer science, electrical engineering, acoustics, linguistics, mathematics, psychology, and beyond. Starting with the fundamentals, it presents all this and more:

  • Essential background on speech production and perception, probability and information theory, and pattern recognition
  • Extracting information from the speech signal: useful representations and practical compression solutions
  • Modern speech recognition techniques: hidden Markov models, acoustic and language modeling, improving resistance to environmental noises, search algorithms, and large vocabulary speech recognition
  • Text-to-speech: analyzing documents, pitch and duration controls; trainable synthesis, and more
  • Spoken language understanding: dialog management, spoken language applications, and multimodal interfaces

To illustrate the book's methods, the authors present detailed case studies based on state-of-the-art systems, including Microsoft's Whisper speech recognizer, Whistler text-to-speech system, Dr. Who dialog system, and the MiPad handheld device. Whether you're planning, designing, building, or purchasing spoken language technology, this is the state of the art—from algorithms through business productivity.


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Customer Reviews

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While also covering most theoretic/academic results, it always points out what's used in daily practice.
Xiaofan LIN
If you want a high level understanding of how speech processing works, or if you want to dig in and build your own speech engine, everything you need is right here.
katydid
These last two topics mentioned are both important parts of the book and are dealt with in their own chapters.
calvinnme

Most Helpful Customer Reviews

5 of 6 people found the following review helpful By calvinnme HALL OF FAMETOP 1000 REVIEWERVINE VOICE on December 12, 2006
Format: Paperback Verified Purchase
This book is a comprehensive overview of most of the major topics associated with speech processing. Divided into five main sections, the book is well structured with a clear division of concerns. The title, "Spoken Language Processing", may be misleading to some as language processing topics only accounts for one section of the book.

The first two sections cover the fundamental theories that should be understood before embarking in-depth into a study of speech processing. This may seem an obvious approach but many texts do not follow this pattern making their use as reference tomes limited. Separating background theory from its use is also useful in that it allows a rigorous approach to its description. Too often texts give a hurried imprecise overview of theories used before launching into a long and complex use of the theory; losing the reader instantly in a quagmire of formulae.

The first two sections of the book deals with background material, material that the reader should at least understand the key concepts of. The first section concentrates on speech in general (including production and perception), probability and statistics, and pattern classification. These last two topics mentioned are both important parts of the book and are dealt with in their own chapters. Both are well written with the right amount of explanation and background. Much of the remainder of the book expects at least some familiarity with the material presented here. These chapters, like all chapters in the book finish with a section entitled, "Historical Perspective and Further Reading". The inclusion of recommended further reading, in addition to the vast number of references appearing in each chapter, make the book as a whole a very good starting point for any work in speech processing.
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5 of 6 people found the following review helpful By katydid on August 22, 2005
Format: Paperback Verified Purchase
What a wonderful book. Whether you are a computer scientist or mathematician with limited exposure to the discipline of speech processing, or alternatively you are a dedicated expert in this field, you will find everything you are looking for in this book. For two weeks, I couldn't put this thing down. And that's an extraordinary testimony to a book that's 800+ pages of technical detail. If you want a high level understanding of how speech processing works, or if you want to dig in and build your own speech engine, everything you need is right here.
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4 of 6 people found the following review helpful By A Customer on June 28, 2003
Format: Paperback
This is a great book if you want to know the future of what Microsoft's top researchers like XD Huang etc are thinking and working. Dr Huang is a super star of the field and it is equally worthwhile to read his excellent book.
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Format: Paperback
This is, to the best of my knowledge, still the most comprehensive textbook in speech technology, 12 years after its publication. So if you're a student of the field, you probably want it. That is not to say it is all that good. I find the writing dull and the notation messy. Also, it is impossible to find in hardback, and the paperback is of pretty low quality. It doesn't look like it will get an update, so I'm hoping a new standard textbook will come along.

For newcomers to the field I would recommend starting with Jurafsky & Martin's excellent "Speech and Language Processing" instead. That book covers NLP as well, so it is more superficial, but it does a much better job of explaining the basics. If you need more detail on speech technology than that provides you, then consider this one.

For details, you might also want to have a look at "The Springer Handbook of Speech Processing", preferably at a library. And Holmes and Holmes's "Speech Synthesis and Recognition" gives a very good non-technical account of the speech technology field.
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3 of 5 people found the following review helpful By Massimiliano Celaschi on January 5, 2003
Format: Paperback
A thourough and complete review about the subject, in which many disciplines (language, computer, probability, statistics, numerical analysis) converge. As a non-practitioner I have found it an enjoyable opportunity to refresh my knowledges in the field of signal processing, and a source of many hints I have been able to develop in other branches. In spite of notations and methodologies (e.g. bayesian) a bit far from I am used to, the near one thousand pages never seemed extreme related to the meaning compressed into them, spreading from base theory to advanced applications.
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3 of 6 people found the following review helpful By A Customer on July 1, 2001
Format: Paperback
any body who works in the field of speech technology will benefit greatly by reading this book.
many algorithms described in this book have been rigorously tested either by the authors or by their close co-workers. They are not a random set of algorithms. Rather, they are very effective and useful in practice.
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