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Provides a theoretically sound, technically accurate, and complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine. Covers production, perception, and acoustic-phonetic characterization of the speech signal; signal processing and analysis methods for speech recognition; pattern comparison techniques; speech recognition system design and implementation; theory and implementation of hidden Markov models; speech recognition based on connected word models; large vocabulary continuous speech recognition; and task- oriented application of automatic speech rec

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Book ID Asin: 0130151572
Book Title: Fundamentals of Speech Recognition
Book Author: Lawrence Rabiner,Biing-Hwang Juang
Book Format: unknownBook Price: unknown
Book Category: Books, Computers & Technology, Computer Science and unknown
Book Rating: 32 ratings

Fundamentals of Speech Recognition by Lawrence Rabiner,Biing-Hwang Juang Book Review

Name: Purchasing Monkey
Rating: 4.0 out of 5 stars
Title: Old book but nothing has changed since
Date: Reviewed in the United States on June 13, 2012
Review: This book is relatively old, but nothing has changed int eh speech recognition field since a few decades now. So the materials is pretty standard and well explained.

Name: Renato Medeiros
Rating: 4.0 out of 5 stars
Title: Four Stars
Date: Reviewed in the United States on August 31, 2014
Review: The book is very didactic, although some images could be redisigned.

Name: Chris
Rating: 4.0 out of 5 stars
Title: Four Stars
Date: Reviewed in the United States on February 28, 2016
Review: Not bad!!

Name: John Conde
Rating: 5.0 out of 5 stars
Title: Five Stars
Date: Reviewed in the United States on March 10, 2015
Review: Quick shipment, flawless textbook

Name: Thomas Quintana
Rating: 5.0 out of 5 stars
Title: Five Stars
Date: Reviewed in the United States on July 31, 2016
Review: Everything went very smooth.

Name: Optimistix
Rating: 5.0 out of 5 stars
Title: Excellent Introduction
Date: Reviewed in the United States on December 9, 2001
Review: This book is a comprehensive and excellent introduction to the ever-expanding
field of Automatic Speech Recognition. Starting with models of speech
production, speech characterization, methods of analysis (transforms etc),
the authors go onto discuss pattern comparison, hidden Markov models (HMMs),
and design and implementation of speech recognition systems, right from
isolated word recognition to large vocabulary continuous speech recognition
systems. Neural networks and their use in speech recognition is also presented,
though somewhat briefly.
Rabiner was the author of the first widely-read tutorial on HMMs, so
naturally the presentation of HMMs is one of the strong points of this
textbook. The theory is developed in detail, but in an easy to follow
fashion, starting with the very basics and with plenty of helpful examples.
The implementation is discussed at great length as well, starting with
the simplest of tasks and progressing to the state-of-the-art (circa 1993).
That isn't to say that HMMs are the only good part of this book - indeed,
practically every topic, whether it be perception, transforms, vector quantization
or dynamic programming, is presented with great clarity. This book really is easy to
learn from, with numerous examples and illustrations.
The field of speech recognition is inherently multi-disciplinary in nature,
drawing upon various areas of study, including Physics, Physiology, Acoustics,
Signal Processing and Computer Science, to name but a few. The authors do a
great job of explaining all these facets, as well as the mathematics that
is an essential tool.

The only caveat is that it's now a little old (published 1993), since the
field has been growing by leaps and bounds - so while the basics remain
the same, things have changed and hence what's said here should not be
taken as the last word on the subject.
Perhaps a new edition is due, and would certainly be most welcome.
However, for an excellent, accessible introduction to this exciting field,
this is still a great choice.

Name: SAYED JAAFER ALHASSAN
Rating: 5.0 out of 5 stars
Title: Great Book
Date: Reviewed in the United States on March 31, 2012
Review:
This book is an excellent and great, the algorithms in Hidden Markov Model are clear and simple. This book is basic for every one who need to pursue the research in Speech processing based on HMM. Don't hesitate to purchase this book

Name: Olivier Pietquin
Rating: 4.0 out of 5 stars
Title: Good introduction for beginners
Date: Reviewed in the United States on March 1, 2000
Review: The beginner in Automaitc Speech Recognition should read this book. It introduces all the basics of signal processing and vocal tract modeling needed and provides good descriptions of modern algorithms for statistical speech recognition (such as dynamic programmation, Hidden Markov Models, Viterbi Algorithm ...).