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Mathematical Models of Spoken Language [Hardcover]

Stephen Levinson (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

August 26, 2003 0470844078 978-0470844076 1
Mathematical Models of Spoken Language presents the motivations for, intuitions behind, and basic mathematical models of natural spoken language communication. A comprehensive overview is given of all aspects of the problem from the physics of speech production through the hierarchy of linguistic structure and ending with some observations on language and mind.

The author comprehensively explores the argument that these modern technologies are actually the most extensive compilations of linguistic knowledge available.Throughout the book, the emphasis is on placing all the material in a mathematically coherent and computationally tractable framework that captures linguistic structure.

It presents material that appears nowhere else and gives a unification of formalisms and perspectives used by linguists and engineers. Its unique features include a coherent nomenclature that emphasizes the deep connections amongst the diverse mathematical models and explores the methods by means of which they capture linguistic structure.

This contrasts with some of the superficial similarities described in the existing literature; the historical background and origins of the theories and models; the connections to related disciplines, e.g. artificial intelligence, automata theory and information theory; an elucidation of the current debates and their intellectual origins; many important little-known results and some original proofs of fundamental results, e.g. a geometric interpretation of parameter estimation techniques for stochastic models and finally the author's own unique perspectives on the future of this discipline.

There is a vast literature on Speech Recognition and Synthesis however, this book is unlike any other in the field. Although it appears to be a rapidly advancing field, the fundamentals have not changed in decades. Most of the results are presented in journals from which it is difficult to integrate and evaluate all of these recent ideas. Some of the fundamentals have been collected into textbooks, which give detailed descriptions of the techniques but no motivation or perspective. The linguistic texts are mostly descriptive and pictorial, lacking the mathematical and computational aspects. This book strikes a useful balance by covering a wide range of ideas in a common framework. It provides all the basic algorithms and computational techniques and an analysis and perspective, which allows one to intelligently read the latest literature and understand state-of-the-art techniques as they evolve. 


Editorial Reviews

Review

"...a succinct presentation of the most important mathematical technology of speech technology and the author's ideas for overcoming the limitations of these techniques…" (Mathematical Reviews, 2005j)

From the Back Cover

Humans use language to convey meaningful messages to each other. Linguistic competence consists in the ability to express meaning reliably, not simply to obtain faithful lexical transcriptions. This invaluable reference tool is the product of many years' experience and research on language and speech technology. It presents the motivations for, intuitions behind and basic mathematical models of natural spoken language communication. From a preliminary discussion on the physics of speech production and the taxonomy of linguistic structure, there is a natural progression taking in issues of grammatical inference, automatic speech recognition and constructive theories of language. The author counterbalances theoretical explanations and illustrations with questions of a more philosophical nature designed to highlight the seemingly limitless future potential of speech technology.
  • Emphasizes the physics of speech production in an argument underpinned by mathematical models of linguistic structure.
  • Collates the formalisms and perspectives used by linguists and engineers and examines established theories, including the Markov process, the Chomsky hierarchy, the Miller-Nicely experiments and Baum and Baker’s experiments.
  • Contains strong sections on the current status and evolution of Artificial Intelligence, the problem of consciousness and future prospects for a science of the mind.
  • Illustrates all points throughout using detailed real world examples.
This comprehensive resource will appeal to researchers and practitioners in the fields of mathematical linguistics and speech technology as well as those in the related disciplines of psychology, artificial intelligence, automata theory, information theory and philosophy.

Product Details

  • Hardcover: 304 pages
  • Publisher: Wiley; 1 edition (August 26, 2003)
  • Language: English
  • ISBN-10: 0470844078
  • ISBN-13: 978-0470844076
  • Product Dimensions: 10 x 7.1 x 0.8 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,811,147 in Books (See Top 100 in Books)

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1 of 1 people found the following review helpful:
5.0 out of 5 stars Classical and solid representation of speech recognition technology and its mathematical core, March 4, 2011
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This review is from: Mathematical Models of Spoken Language (Hardcover)
The author Prof. Stephen Levinson is a pioneer in speech technology. In this textbook he brings forth tremendous important mathematical theories that have been developed in the field. I'm lucky enough to take his class this semester. Not only the spirit of mathematical theories are covered, he also address all possible practical technical issues one may encounter when developing the technique. Therefore, this book has to be clearly distinguished from ordinary literature review book or journal, as the author has been worked seriously in this area ever since sometime around 70s, and this is indeed his precious personal experience.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
syntactic analysis, broad phonetic categories, reestimation formulas, automatic speech understanding, phone lattice, cybernetic paradigm, backward probabilities, speech technology, stochastic grammars, speech understanding systems, tolerance regions, word lattice, ijth entry, ring buffer
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mathematical Models of Linguistic Structure, Science of Mind, Stephen Levinson, John Wiley, Information-Theoretic Analysis of Speech Communication
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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