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Voice Recognition (Artech House Telecommunications Library)
 
 
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Voice Recognition (Artech House Telecommunications Library) [Hardcover]

Richard L. Klevans (Author), Robert D. Rodman (Author)
4.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0890069271 978-0890069271 October 1, 1997
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.

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Editorial Reviews

Amazon.com Review

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.

About the Author

Richard Rodman is an associate professor of computer science at North Carolina State University. The author of two books and more than a dozen professional papers, he holds a Ph.D. in linguistics from UCLA.

Product Details

  • Hardcover: 188 pages
  • Publisher: Artech House Publishers (October 1, 1997)
  • Language: English
  • ISBN-10: 0890069271
  • ISBN-13: 978-0890069271
  • Product Dimensions: 9.3 x 6.3 x 0.6 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #4,041,213 in Books (See Top 100 in Books)

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4.0 out of 5 stars Voice Recognition theory and application, August 30, 2001
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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Inside This Book (learn more)
First Sentence:
This chapter will present a review of the research in the area of voice recognition. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
intraspeaker variance, generic codebook, distortion scores, multiple recording sessions, segregating systems, automatic speaker recognition, channel mismatch, voiceprint analysis, binary tree search, test utterances, zero crossing rate, voice crimes, cepstral coefficients, binary networks, jth category, speaker identification, secondary parameters, spectral coefficients, unknown speaker, speaker verification, entire utterance, unknown channel, predictor coefficients, dialect region, feature vectors
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Segregation of Feature Vectors, Telephone Channels, Filter Order Figure
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This book cites 73 books:
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