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| Introduction | |
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| Discrete-Time Speech Signal Processing | |
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| The Speech Communication Pathway | |
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| Analysis/Synthesis Based on Speech Production and Perception | |
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| Applications | |
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| Outline of Book | |
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| A Discrete-Time Signal Processing Framework | |
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| Discrete-Time Signals | |
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| Discrete-Time Systems | |
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| Discrete-Time Fourier Transform | |
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| Uncertainty Principle | |
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| z-Transform | |
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| LTI Systems in the Frequency Domain | |
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| Properties of LTI Systems | |
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| Time-Varying Systems | |
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| Discrete-Fourier Transform | |
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| Conversion of Continuous Signals and Systems to Discrete Time | |
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| Production and Classification of Speech Sounds | |
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| Anatomy and Physiology of Speech Production | |
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| Spectrographic Analysis of Speech | |
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| Categorization of Speech Sounds | |
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| Prosody: The Melody of Speech | |
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| Speech Perception | |
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| Acoustics of Speech Production | |
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| Physics of Sound | |
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| Uniform Tube Model | |
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| A Discrete-Time Model Based on Tube Concatenation | |
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| Vocal Fold/Vocal Tract Interaction | |
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| Analysis and Synthesis of Pole-Zero Speech Models | |
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| Time-Dependent Processing | |
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| All-Pole Modeling of Deterministic Signals | |
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| Linear Prediction Analysis of Stochastic Speech Sounds | |
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| Criterion of Goodness | |
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| Synthesis Based on All-Pole Modeling | |
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| Pole-Zero Estimation | |
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| Decomposition of the Glottal Flow Derivative | |
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| Properties of Stochastic Processes | |
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| Random Processes | |
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| Ensemble Averages | |
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| Stationary Random Process | |
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| Time Averages | |
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| Power Density Spectrum | |
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| Derivation of the Lattice Filter in Linear Prediction Analysis | |
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| Homomorphic Signal Processing | |
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| Concept | |
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| Homomorphic Systems for Convolution | |
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| Complex Cepstrum of Speech-Like Sequences | |
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| Spectral Root Homomorphic Filtering | |
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| Short-Time Homomorphic Analysis of Periodic Sequences | |
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| Short-Time Speech Analysis | |
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| Analysis/Synthesis Structures | |
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| Contrasting Linear Prediction and Homomorphic Filtering | |
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| Short-Time Fourier Transform Analysis and Synthesis | |
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| Short-Time Analysis | |
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| Short-Time Synthesis | |
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| Short-Time Fourier Transform Magnitude | |
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| Signal Estimation from the Modified STFT or STFTM | |
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| Time-Scale Modification and Enhancement of Speech | |
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| FBS Method with Multiplicative Modification | |
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| Filter-Bank Analysis/Synthesis | |
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| Revisiting the FBS Method | |
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| Phase Vocoder | |
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| Phase Coherence in the Phase Vocoder | |
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| Constant-Q Analysis/Synthesis | |
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| Auditory Modeling | |
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| Sinusoidal Analysis/Synthesis | |
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| Sinusoidal Speech Model | |
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| Estimation of Sinewave Parameters | |
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| Synthesis | |
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| Source/Filter Phase Model | |
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| Additive Deterministic-Stochastic Model | |
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| Derivation of the Sinewave Model | |
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| Derivation of Optimal Cubic Phase Parameters | |
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| Frequency-Domain Pitch Estimation | |
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| A Correlation-Based Pitch Estimator | |
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| Pitch Estimation Based on a Comb Filter<170 | |
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| Pitch Estimation Based on a Harmonic Sinewave Model | |
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| Glottal Pulse Onset Estimation | |
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| Multi-Band Pitch and Voicing Estimation | |
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| Nonlinear Measurement and Modeling Techniques | |
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| The STFT and Wavelet Transform Revisited | |
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| Bilinear Time-Frequency Distributions | |
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| Aeroacoustic Flow in the Vocal Tract | |
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| Instantaneous Teager Energy Operator | |
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| Speech Coding | |
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| Statistical Models of Speech | |
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| Scaler Quantization | |
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| Vector Quantization (VQ) | |
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| Frequency-Domain Coding | |
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| Model-Based Coding | |
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| LPC Residual Coding | |
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| Speech Enhancement | |
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| Introduction | |
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| Preliminaries | |
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| Wiener Filtering | |
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| Model-Based Processing | |
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| Enhancement Based on Auditory Masking | |
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| Stochastic-Theoretic parameter Estimation | |
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| Speaker Recognition | |
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| Introduction | |
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| Spectral Features for Speaker Recognition | |
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| Speaker Recognition Algorithms | |
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| Non-Spectral Features in Speaker Recognition | |
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| Signal Enhancement for the Mismatched Condition | |
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| Speaker Recognition from Coded Speech | |