Table of Contents

1. Fundamentals of Speech Recognition.
2. The Speech Signal: Production, Perception, and Acoustic-Phonetic Characterization.
3. Signal Processing and Analysis Methods for Speech Recognition.
4. Pattern Comparison Techniques.
5. Speech Recognition System Design and Implementation Issues.
6. Theory and Implementation of Hidden Markov Models.
7. Speech Recognition Based on Connected Word Models.
8. Large Vocabulary Continuous Speech Recognition.
9. Task-Oriented Applications of Automatic Speech Recognition.