Customer Reviews

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

5 star:		(9)
4 star:		(1)
3 star:		(1)
2 star:		(0)
1 star:		(0)

 

 

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.

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.

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.

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.

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.

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.

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 and commercial systems. This is a book to keep if you are interested in understanding the next big thing.

Just wanted to point out that a number of very brief rave reviews by anonymous reviewers suggest some ratings mischief going on here. I hate when people (possibly the authors) try to inflate ratings, don't you?

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 experienced guys, too

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.