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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Most Helpful Customer Reviews
4.0 out of 5 stars
Voice Recognition theory and application,
This review is from: Voice Recognition (Artech House Telecommunications Library) (Hardcover)
Klevans 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.
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