Mathematical Models of Spoken Language Review

Average Reviews:

(More customer reviews)Are you looking to buy Mathematical Models of Spoken Language? Here is the right place to find the great deals. we can offer discounts of up to 90% on Mathematical Models of Spoken Language. Check out the link below:

>> Click Here to See Compare Prices and Get the Best Offers

Mathematical Models of Spoken Language ReviewThe 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.Mathematical Models of Spoken Language OverviewMathematical 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.

Want to learn more information about Mathematical Models of Spoken Language?

>> Click Here to See All Customer Reviews & Ratings Now