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THE MATERIAL IN THIS BOOK IS INTENDED AS A ONE-SEMESTER COURSE IN SPEECH PROCESSING. TO AID THE TEACHING PROCESS, EACH CHAPTER CONTAINS A SET OF REPRESENTATIVE HOMEWORK PROBLEMS WHICH ARE INTENDED TO REINFORCE THE IDEAS DISCUSSED IN EACH CHAPTER. SUCCESSFUL COMPLETION OF A REASONABLE PERCENTAGE OF THESE HOMEWORK PROBLEMS IS ESSENTIAL FOR A GOOD UNDERSTANDING OF THEORETICAL CONCEPTS OF SPEECH PROCESSING. HOWEVER, AS THE READER WILL SEE, MUCH OF SPEECH PROCESSING IS, BY ITS VERY NATURE, EMPIRICAL. THUS, SOME 'HANDS ON' EXPERIENCE IS ESSENTIAL TO LEARNING ABOUT DIGITAL SPEECH PROCESSING.
1. INTRODUCTION 2. FUNDAMENTALS OF DIGITAL SPEECH PROCESSING 3. DIGITAL MODELS FOR THE SPEECH SIGNAL 4. TIME-DOMAIN MODELS FOR SPEECH PROCESSING 5. DIGITAL REPRESENTATIONS OF THE SPEECH WAVEFORM 6. SHORT-TIME FOURIER ANALYSIS 7. HOMOMORPHIC SPEECH PROCESSING 8. LINEAR PREDICTIVE CODING OF SPEECH 9. DIGITAL SPEECH PROCESSING FOR MAN-MACHINE COMMUNICATION B Y VOICE PROJECTS INDEX
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