Theory and Applications of Digital Speech Processing 1st Edition by Lawrence R. Rabiner, Ronald W. Schafer – Ebook PDF Instant Download/Delivery: 978-0136034285, 0136034284
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Product details:
ISBN 10: 0136034284
ISBN 13: 978-0136034285
Author: Lawrence R. Rabiner, Ronald W. Schafer
Theory and Applications of Digital Speech Processing is ideal for graduate students in digital signal processing, and undergraduate students in Electrical and Computer Engineering. With its clear, up-to-date, hands-on coverage of digital speech processing, this text is also suitable for practicing engineers in speech processing.
This new text presents the basic concepts and theories of speech processing with clarity and currency, while providing hands-on computer-based laboratory experiences for students. The material is organized in a manner that builds a strong foundation of basics first, and then concentrates on a range of signal processing methods for representing and processing the speech signal.
Table of contents:
CHAPTER 1 Introduction to Digital Speech Processing
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The Speech Signal
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The Speech Stack
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Applications of Digital Speech Processing
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Comment on the References
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Summary
CHAPTER 2 Review of Fundamentals of Digital Signal Processing
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Introduction
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Discrete-Time Signals and Systems
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Transform Representation of Signals and Systems
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Fundamentals of Digital Filters
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Sampling
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Summary
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Problems
CHAPTER 3 Fundamentals of Human Speech Production
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Introduction
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The Process of Speech Production
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Short-Time Fourier Representation of Speech
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Acoustic Phonetics
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Distinctive Features of the Phonemes of American English
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Summary
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Problems
CHAPTER 4 Hearing, Auditory Models, and Speech Perception
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Introduction
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The Speech Chain
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Anatomy and Function of the Ear
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The Perception of Sound
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Auditory Models
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Human Speech Perception Experiments
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Measurement of Speech Quality and Intelligibility
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Summary
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Problems
CHAPTER 5 Sound Propagation in the Human Vocal Tract
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The Acoustic Theory of Speech Production
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Lossless Tube Models
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Digital Models for Sampled Speech Signals
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Summary
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Problems
CHAPTER 6 Time-Domain Methods for Speech Processing
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Introduction
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Short-Time Analysis of Speech
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Short-Time Energy and Short-Time Magnitude
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Short-Time Zero-Crossing Rate
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The Short-Time Autocorrelation Function
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The Modified Short-Time Autocorrelation Function
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The Short-Time Average Magnitude Difference Function
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Summary
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Problems
CHAPTER 7 Frequency-Domain Representations
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Introduction
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Discrete-Time Fourier Analysis
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Short-Time Fourier Analysis
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Spectrographic Displays
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Overlap Addition Method of Synthesis
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Filter Bank Summation Method of Synthesis
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Time-Decimated Filter Banks
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Two-Channel Filter Banks
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Implementation of the FBS Method Using the FFT
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OLA Revisited
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Modifications of the STFT
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Summary
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Problems
CHAPTER 8 The Cepstrum and Homomorphic Speech Processing
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Introduction
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Homomorphic Systems for Convolution
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Homomorphic Analysis of the Speech Model
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Computing the Short-Time Cepstrum and Complex Cepstrum of Speech
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Homomorphic Filtering of Natural Speech
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Cepstrum Analysis of All-Pole Models
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Cepstrum Distance Measures
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Summary
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Problems
CHAPTER 9 Linear Predictive Analysis of Speech Signals
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Introduction
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Basic Principles of Linear Predictive Analysis
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Computation of the Gain for the Model
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Frequency Domain Interpretations of Linear Predictive Analysis
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Solution of the LPC Equations
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The Prediction Error Signal
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Some Properties of the LPC Polynomial A(z)
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Relation of Linear Predictive Analysis to Lossless Tube Models
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Alternative Representations of the LP Parameters
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Summary
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Problems
CHAPTER 10 Algorithms for Estimating Speech Parameters
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Introduction
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Median Smoothing and Speech Processing
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Speech-Background/Silence Discrimination
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A Bayesian Approach to Voiced/Unvoiced/Silence Detection
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Pitch Period Estimation (Pitch Detection)
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Formant Estimation
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Summary
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Problems
CHAPTER 11 Digital Coding of Speech Signals
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Introduction
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Sampling Speech Signals
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A Statistical Model for Speech
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Instantaneous Quantization
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Adaptive Quantization
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Quantizing of Speech Model Parameters
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General Theory of Differential Quantization
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Delta Modulation
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Differential PCM (DPCM)
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Enhancements for ADPCM Coders
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Analysis-by-Synthesis Speech Coders
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Open-Loop Speech Coders
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Applications of Speech Coders
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Summary
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Problems
CHAPTER 12 Frequency-Domain Coding of Speech and Audio
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Introduction
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Historical Perspective
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Subband Coding
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Adaptive Transform Coding
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A Perception Model for Audio Coding
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MPEG-1 Audio Coding Standard
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Other Audio Coding Standards
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Summary
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Problems
CHAPTER 13 Text-to-Speech Synthesis Methods
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Introduction
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Text Analysis
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Evolution of Speech Synthesis Methods
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Early Speech Synthesis Approaches
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Unit Selection Methods
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TTS Future Needs
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Visual TTS
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Summary
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Problems
CHAPTER 14 Automatic Speech Recognition and Natural Language Understanding
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Introduction
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Basic ASR Formulation
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Overall Speech Recognition Process
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Building a Speech Recognition System
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The Decision Processes in ASR
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The Search Problem
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Simple ASR System: Isolated Digit Recognition
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Performance Evaluation of Speech Recognizers
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Spoken Language Understanding
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Dialog Management and Spoken Language Generation
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User Interfaces
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Multimodal User Interfaces
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Summary
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Problems
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