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Voice Recognition (Artech House Telecommunications Library) by Richard L. Klevans, Robert D. Rodman
Book Summary InformationAuthor: Richard L. Klevans, Robert D. Rodman Edition: Hardcover Audio: English (Original Language); English (Unknown); English (Published) Published: 1997-10-01 ISBN: 0890069271 Number of pages: 188 Publisher: Artech House Publishers
Book Reviews of Voice Recognition (Artech House Telecommunications Library)Book Review: Voice Recognition theory and application Summary: 4 StarsKlevans and Rodman did an excellent job at presenting the theory and application of voice recognition. The book goes into just the right amount of detail that a subject of this nature requires. Also, various models and techniques for dealing with speech recognition were explored, with the pros and cons of each carefully stated. It was certainly a pleasure to have read this book, and the new ideas/techniques that were presented, have influenced me to further my research in speech recognition.
Summary of Voice Recognition (Artech House Telecommunications Library)Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. You get a solid background in voice recognition technology to help you make informed decisions on which voice recognition-based software to use in your company or organization. It is unique in its clear explanations of mathematical concepts, as well as its full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification. This revised scholarly work on voice recognition technology outlines cutting-edge research in this exciting area of computer science. The book begins with a readable historical introduction to speech synthesis, speech recognition, and speaker classification. (According to the authors, Alexander Graham Bell was actually working on the problem of speech synthesis when he invented the telephone.) Once the authors move on to their specialty, this text gets increasingly advanced, discussing the multitude of formulas and algorithms used in speech recognition. The writers clearly explain two important areas of recognizing speech, Hidden Markov Models (HMMs) and neural nets as applied to speech. The latter part of the book presents the authors' own research in the field, which involves using the technology to identify characteristics of voices, enabling law enforcement to catch criminals who commit crimes over phone lines. (One of their principal advances, "rehumanizing filter techniques" enables a voice to be identified in even noisy environments.) Though the authors certainly would be the first to admit that voice recognition has a long way to go before it becomes commonplace, they see a strong future for this technology in law and security.
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