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Spoken Language Processing: A Guide to Theory, Algorithm and System Development
 
 
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Spoken Language Processing: A Guide to Theory, Algorithm and System Development (Paperback)

~ (Author), Alex Acero (Author), Hsiao-Wuen Hon (Author)
4.9 out of 5 stars  See all reviews (10 customer reviews)
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Editorial Reviews

Product Description

Offers coverage of new advances in spoken language processing in computer science, drawing on the most recent discoveries in computer science, electrical engineering, mathematics, and other fields. Covers speech recognition, speech processing, spoken language understanding, speech synthesis, and speech interface design. DLC: Natural language processing (Computer science).


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.

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Xuedong Huang
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Spoken Language Processing: A Guide to Theory, Algorithm and System Development
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3 of 3 people found the following review helpful:
5.0 out of 5 stars A classic and comprehensive resource, December 12, 2006
By calvinnme "Texan refugee" (Fredericksburg, Va) - See all my reviews
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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.

The second section concerns itself with the DSP topics which relate to speech processing. In this section the reader will find everything from FFTs to multi-rate signal processing and speech signal representations to speech coding. Again the section is well written and the reader is not forced to refer to other texts to understand what is written. If a topic is not expanded upon here then it is an indication that is not dealt further in any great depth in the remainder of the book.

The third section of the book covers speech recognition and is probably the section which will find most use with many readers. This section is very thorough in its treatment of the subject. It starts immediately with a discussion of Hidden Markov Models which is almost exclusively the method employed in the pattern matching stage of speech recognition. Any algorithms that are mentioned are also detailed which really make the book useful. In fact algorithms are presented throughout the book making it a practical reference as much as a theoretical one. This is important because there is a big jump from understanding theory to being able to implement an algorithm to exploit that theory. Other topics covered include an excellent chapter on environmental robustness with one of the best discussions of microphones I have seen. Language modelling and search algorithms are given a thorough treatment. I would like to have seen more detailed information on front-end processing and endpoint detection, as this remains a critical stage of the recognition process. Perhaps the level of detail reflects the fact that this is currently a hot research topic with potential for significant advancement.

Section four, on text-to-speech processing, is a good overview of the field and better than any book I've seen on the subject. It shows numerous block diagrams of what you need to build such a system and gives numerous algorithms in pseudocode. It also dedicates a subsection to each block of the text-to-speech system block diagram, discussing in detail what you would need to do to implement that particular block. Since much of the individual blocks have been discussed earlier in the book, it refers you back to specific earlier sections for details.

The fifth section is a short one on entire systems and shows some case studies, concentrating on what Microsoft was doing at the time this book was published, since that is where the authors' research came from. I would highly recommend that anyone anticipating getting into speech processing have a copy of this classic nearby.
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2 of 2 people found the following review helpful:
5.0 out of 5 stars A tour de force, August 22, 2005
By katydid (Seattle, WA USA) - See all my reviews
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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2 of 2 people found the following review helpful:
5.0 out of 5 stars must-read book, July 1, 2001
By A Customer
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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Most Recent Customer Reviews

4.0 out of 5 stars exhortation
Beautifully written book covering almost all area of spoken language processing. However, despite of relative ease of reading, it is necessary to warn the beginning reader, that... Read more
Published on July 31, 2006 by Mark Skvira

5.0 out of 5 stars Microsoft's future cook book
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. Read more
Published on June 28, 2003

5.0 out of 5 stars Useful and interesting
A thourough and complete review about the subject, in which many disciplines (language, computer, probability, statistics, numerical analysis) converge. Read more
Published on January 5, 2003 by Massimiliano Celaschi

5.0 out of 5 stars Complete and Practical
I love this complete and practical book on speech technologies and application. It always ties in the real-world practice. Read more
Published on December 7, 2002 by Xiaofan LIN

5.0 out of 5 stars Book number one in SR
The comprehensive description of practically used speech recognition techniques. It is the first book to read for people who seriously wants to enter SR domain and very useful for... Read more
Published on November 1, 2001

5.0 out of 5 stars The best Speech+NL+UI book
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... Read more
Published on June 29, 2001

5.0 out of 5 stars This is a bible for speech processing
I found this book to be very complete and practical. I admire the authors for doing such a wonderful job to provide the needed background and case studies used in both the acdemic... Read more
Published on June 24, 2001

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