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Spoken Language Processing: A Guide to Theory, Algorithm and System Development Paperback – Apr 25 2001

5.0 out of 5 stars 7 customer reviews

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Product Details

  • Paperback: 1008 pages
  • Publisher: Prentice Hall; 1 edition (April 25 2001)
  • Language: English
  • ISBN-10: 0130226165
  • ISBN-13: 978-0130226167
  • Product Dimensions: 18 x 4.6 x 23.1 cm
  • Shipping Weight: 1.4 Kg
  • Average Customer Review: 5.0 out of 5 stars 7 customer reviews
  • Amazon Bestsellers Rank: #548,876 in Books (See Top 100 in Books)
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Product Description

From the Inside Flap


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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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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I love this complete and practical book on speech technologies and application. It always ties in the real-world practice. While also covering most theoretic/academic results, it always points out what's used in daily practice. This feature can help new comers identify promising directions to solve real problems. The only thing I don't like is that it emphasizes too much work done in Microsoft Research, although this is understandable and MS is becoming power player in this arena.
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By A Customer on June 29 2001
This is a great Speech+NLP+UI book (the first of its kind). I liked the last chapter best since it is the best summary on the state of the art systems used in a number of segments. I also enjoyed the completness of this book. Seems to me I don't need to buy another book with such a wonderful gift from Microsoft people.
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By A Customer on July 1 2001
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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