Abstract

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .13 Chapter 1 Introduction 14 Chapter 2 The SPHINX Speech Recognition System 18 2.1. Front-End Signal Processing . . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.2. Vector Quantization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 2.3. Discrete Hidden Markov Model . . . . . . . . . . . . . . . . . . . . . . . . . 20 Chapter 3 Signal Processing Issues in Environmental Robustness 21 3.1. Sources of Degradation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.1.1 Additive Noise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.1.2 Linear Filtering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.1.3 Other Effects . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 3.2. Solutions to the Environmental Robus...

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