Description
PEARSON Fundamentals Of Speech Recognition 2008 Edition by LAWRENCE RABINER
Provides a complete description of the basic knowledge and ideas that constitute a modern system for speech recognition by machine.Table of Content1. AN INTRODUCTION TO 2. ENGINEERING PROBLEM SOLVING3. MATLAB ENVIRONMENTPREDEFINED MATLAB FUNCTIONS4. PLOTTING5. PROGRAMMING IN MATLAB6. MATRIX COMPUTATIONS7. SYMBOLIC MATHEMATICS9.NUMERICAL TECHNIQUESSalient FeaturesDiscusses the breadth and depth of the various disciplines that are required for a deep understanding of all aspects of speech recognitionExplores the relatives advantages and disadvantages of the various approaches to speech recognition, and shows why the pattern recognition approach has become the method of choice for most modern systemsOutlines the fundamental techniques used to provide speech features used in all recognition systemsExtends the speech recognition problem from single-word sequences to fluent speechIncludes end of chapter excercises