am 7. Dezember 1998
The book is focused on extraction of attributes of human speech with modern digital and mathematical tools. In Rabiner's approach, an essential element is the Hidden Markov Model and its ability to predict the state of a non-observable system. HM models are the topic of sophisticated techniques and study, and so independent fundamental description of the methods are infrequent. Rabiner goes out of his way to clearly define the HMM before addressing its specific application to speech processing. A very useful introduction to the HMM.
am 23. Juni 1999
This ia a classical book on speech recognition. It covers the basic concepts and practical speech recognition Techniques. The first tutorial on HMM by Rabiner,appeared in IEEE, is included in this book with much more practical examples. This book helped me a lot during my post graduation and work in the area of speech recognition. Thanks to Rabiner and Juang !!!
am 1. März 2000
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 ...).
am 24. April 1999
Since this book misguides students of speech signal processing with the outdated compression technique of Linear Predictive Coding (LPC, which is far inferior to cepstral vocoding because of LPC's stateful memory of voiced excitation from one frame to the next), it ought to be half the price of Jelinek's book, not twice.