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Discrete-Time Processing of Speech Signals

Cover Image Copyright Year: 2000
Author(s): John R. Deller; John H. L. Hansen; John G. Proakis
Book Type: Wiley-IEEE Press
Content Type : Books
Topics: Signal Processing & Analysis
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Abstract

Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references.

This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from spe ch coding for communications systems to biomedical applications of speech analysis and recognition.

Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

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      Frontmatter

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      The prelims comprise:

      • Half Title

      • IEEE Press Board page

      • Title

      • Copyright

      • Dedications

      • Contents

      • Preface to the IEEE Edition

      • Preface

      • Acronyms and Abbreviations

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      Signal Processing Background

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

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      Propaedeutic

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Preamble

      • Review of DSP Concepts and Notation

      • Review of Probability and Stochastic Processes

      • Topics in Statistical Pattern Recognition

      • Information and Entropy

      • Phasors and Steady-State Solutions

      • Onward to Speech Processing

      • Problems

      • Example Textbooks on Digital Signal Processing

      • Example Textbooks on Stachastic Processes

      • Example Textbooks on Statistical Pattern Recognition

      • Example Textbooks on Information Theory

      • Other Resources on Speech Processing

      • Example Textbooks on Speech and Hearing Sciences

      • Other Resources on Artificial Neural Networks

      This chapter contains sections titled:

      • Appendices: Supplemental Bibliography

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      Speech Production and Modeling

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

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      Fundamentals of Speech Science

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Preamble

      • Speech Communication

      • Anatomy and Physiology of the Speech Production System

      • Phonemics and Phonetics

      • Conclusions

      • Problems

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      Modeling Speech Production

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Preamble

      • Acoustic Theory of Speech Production

      • Discrete-Time Modeling

      • Conclusions

      • Problems

      • Single Lossless Tube Analysis

      • Two-Tube Lossless Model of the Vocal Tract

      • Fast Discrete-Time Transfer function Calculation

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      Analysis Techniques

      Page(s): 223
      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references.

      This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from spe ch coding for communications systems to biomedical applications of speech analysis and recognition.

      Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.

      An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department. View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      ShortTerm Processing of Speech

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Short-Term Measures from Long-Term Concepts

      • Example Short-Term Features and Applications

      • Conclusions

      • Problems

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      Linear Prediction Analysis

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Preamble

      • Long-Term LP Analysis by System Identification

      • How Good Is the LP Model?

      • Short-Term LP Analysis

      • Alternative Representations of the LP Coefficients

      • Applications of LP in Speech Analysis

      • Conclusions

      • Problems

      • Proof of Theorem 5.1

      • The Orthogonality Principle

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      Cepstral Analysis

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • ¿¿¿¿¿¿Real¿¿¿¿¿¿ Cepstrum

      • Complex Cepstrum

      • A Critical Analysis of the Cepstrum and Conclusions

      • Problems

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      Coding, Enhancement and Quality Assessment

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

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      Speech Coding and Synthesis

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Optimum Scalar and Vector Quantization

      • Waveform Coding

      • Vocoders

      • Measuring the Quality of Speech Compression Techniques

      • Conclusions

      • Problems

      • Quadrature Mirror Filters

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      Speech Enhancement

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Classification of Speech Enhancement Methods

      • Short-Term Spectral Amplitude Techniques

      • Speech Modeling and Wiener Filtering

      • Adaptive Noise Canceling

      • Systems Based on Fundamental Frequency Tracking

      • Performance Evaluation

      • Conclusions

      • Problems

      • The INTEL System

      • Addressing Cross-Talk in Dual-Channel ANC

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      Speech Quality Assessment

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Subjective Quality Measures

      • Objective Quality Measures

      • Objective Versus Subjective Measures

      • Problems

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      Recognition

      Page(s): 599
      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references.

      This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from spe ch coding for communications systems to biomedical applications of speech analysis and recognition.

      Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.

      An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department. View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      The Speech Recognition Problem

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • The ¿¿¿¿¿¿Dimensions of Difficulty¿¿¿¿¿¿

      • Related Problems and Approaches

      • Conclusions

      • Problems

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      Dynamic Time Warping

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Dynamic Programming

      • Dynamic Time Warping Applied to IWR

      • DTW Applied to CSR

      • Training Issues in DTW Algorithms

      • Conclusions

      • Problems

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      The Hidden Markov Model

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Theoretical Developments

      • Practical Issues

      • First View of Recognition Systems Based on HMMs

      • Problems

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      Language Modeling

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • Formal Tools for Linguistic Processing

      • HMMs, Finite State Automata, and Regular Grammars

      • A ¿¿¿¿¿¿Bottom-Up¿¿¿¿¿¿ Parsing Example

      • Principles of ¿¿¿¿¿¿Top-Down¿¿¿¿¿¿ Recognizers

      • Other Language Models

      • IWR As ¿¿¿¿¿¿CSR¿¿¿¿¿¿

      • Standard Databases for Speech Recognition Research

      • A Survey of Language-Model-Based Systems

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      The Artificial Neural Network

      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      This chapter contains sections titled:

      • Introduction

      • The Artificial Neuron

      • Network Principles and Paradigms

      • Applications of ANNs in Speech Recognition

      • Conclusions

      • Problems

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      Bibliography

      Page(s): 851 - 897
      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references.

      This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from spe ch coding for communications systems to biomedical applications of speech analysis and recognition.

      Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.

      An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department. View full abstract»

    • Full text access may be available. Click article title to sign in or learn about subscription options.

      Index

      Page(s): 899 - 908
      Copyright Year: 2000

      Wiley-IEEE Press eBook Chapters

      Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references.

      This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from spe ch coding for communications systems to biomedical applications of speech analysis and recognition.

      Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field.

      An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department. View full abstract»