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| Preface | |
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| Signal Processing Background | |
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| Propaedeutic | |
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| Review of DSP Concepts and Notation | |
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| Review of Probability and Stochastic Processes | |
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| Topics in Statistical Pattern Recognition | |
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| Information and Entropy | |
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| Phasors and Steady-State Solutions | |
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| Onward to Speech Processing | |
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| Speech Production and Modeling | |
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| Fundamentals of Speech Science | |
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| Speech Communication | |
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| Anatomy and Physiology of the Speech Production System | |
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| Phonemics and Phonetics | |
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| Modeling Speech Production | |
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| Acoustic Theory of Speech Production | |
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| Discrete-Time Modeling | |
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| Analysis Techniques | |
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| Short-Term Processing of Speech | |
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| Short-Term Measures from Long-Term Concepts | |
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| Example Short-Term Features and Applications | |
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| Linear Prediction Analysis | |
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| Long-Term LP Analysis by System Identification | |
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| How Good Is the LP Model? | |
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| Short-Term LP Analysis | |
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| Alternative Representations of the LP Coefficients | |
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| Applications of LP in Speech Analysis | |
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| Cepstral Analysis | |
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| "Real" Cepstrum | |
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| Complex Cepstrum | |
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| A Critical Analysis of the Cepstrum and Conclusions | |
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| Coding, Enhancement and Quality Assessment | |
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| Speech Coding and Synthesis | |
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| Optimum Scalar and Vector Quantization | |
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| Waveform Coding | |
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| Vocoders | |
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| Measuring the Quality of Speech Compression | |
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| Speech Enhancement | |
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| Classification of Speech Enhancement Methods | |
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| Short-Term Spectral Amplitude Techniques | |
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| Speech Modeling and Wiener Filtering | |
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| Adaptive Noise Canceling | |
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| Systems Based on Fundamental Frequency Tracking | |
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| Performance Evaluation | |
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| Speech Quality Assessment | |
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| Subjective Quality Measures | |
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| Objective Quality Measures | |
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| Objective Versus Subjective Measures | |
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| Recognition | |
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| The Speech Recognition Problem | |
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| The "Dimensions of Difficulty" | |
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| Related Problems and Approaches | |
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| Dynamic Time Warping | |
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| Dynamic Programming | |
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| Dynamic Time Warping Applied to IWR | |
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| DTW Applied to CSR | |
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| Training Issues in DTW Algorithms | |
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| The Hidden Markov Model | |
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| Theoretical Developments | |
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| Practical Issues | |
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| First View of Recognition Systems Based on HMMs | |
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| Language Modeling | |
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| Formal Tools for Linguistic Processing | |
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| HMMs, Finite State Automata, and Regular Grammars | |
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| A "Bottom-Up" Parsing Example | |
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| Principles of "Top-Down" Recognizers | |
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| Other Language Models | |
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| IWR As "CSR" | |
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| Standard Databases for Speech-Recognition Research | |
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| A Survey of Language-Model-Based Systems | |
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| The Artificial Neural Network | |
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| The Artificial Neuron | |
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| Network Principles and Paradigms | |
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| Applications of ANNs in Speech Recognition | |
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| Index | |