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Speech coding is a highly mature branch of signal processing deployed in products such as cellular phones, communication devices, and more recently, voice over internet protocol
This book collects many of the techniques used in speech coding and presents them in an accessible fashion
Emphasizes the foundation and evolution of standardized speech coders, covering standards from 1984 to the present
The theory behind the applications is thoroughly analyzed and proved
well equipped with exercises and with procedures which are helpful in implementing the coders (
Zentralblatt Math, Vol.1041, No.16, 2004)
Preface.
Acronyms.
Notation.
Introduction.
Signal Processing Techniques.
Stochastic Processes and Models.
Linear Prediction.
Scalar Quantization.
Pulse Code Modulation and Its Variants.
Vector Quantization.
Scalar Quantization of Linear Prediction Coefficient.
Linear Prediction Coding.
Regular–Pulse Excitation Coders.
Code–Excited Linear Prediction.
The Federal Standard Version of CELP.
Vector Sum Excited Linear Prediction.
Low–Delay CELP.
Vector Quantization of Linear Prediction Coefficient.
Algebraic CELP.
Mixed Excitation Linear Prediction.
Source–Controlled Variable Bit–Rate CELP.
Speech Quality Assessment.
Appendix A: Minimum–Phase Property of the Forward Prediction–Error Filter.
Appendix B: Some Properties of Line Spectral Frequency.
Appendix C: Research Directions in Speech Coding.
Appendix D: Linear Combiner for Pattern Classification.
Appendix E: CELP: Optimal Long–Term Predictor to Minimize the Weighted Difference.
Appendix F: Review of Linear Algebra: Orthogonality, Basis, Linear Independence, and the Gram–Schmidt Algorithm.
Bibliography.
Index.
WAI C. CHU earned a PhD in Electrical Engineering from the Pennsylvania State University. His industry experience includes positions at Texas Instruments and various startup companies in the multimedia field. Currently at DoCoMo USA Labs (San Jose, California), he is involved with R&D activities in speech/audio coding, digital signal processing, and multimedia applications.
A thought–provoking look at the historical and practical evolution of speech coding
Speech coding has evolved into a highly important branch of applied signal processing, resulting in an explosion of products such as cellular phones, answering machines, communication devices, and most recently, voice over Internet protocol. Because of the increasing demand for speech communication, speech coding technology has captured more and more attention from the research, standardization, and business communities all of whom have been encouraged to pursue and investigate alternative coding methods with the objective of minimizing its deficiencies and limitations.
Covering standards from the inception of digital communication, Speech Coding Algorithms: Foundation and Evolution of Standardized Coders compiles many of the complex techniques widely used in speech coding and presents them in a logical and accessible fashion. By understanding the principles, performances, and limitations of the most successful standards developed throughout history, practitioners will be able to gain sound insights of widely adopted methodologies, with the ultimate goal of developing the next generation of improved algorithms.
A strong pedagogical format makes this text a valuable resource for professionals and students alike.
Theories behind each application are thoroughly analyzed and proven
A clear, simple writing style makes complex material easy to understand
Abundant charts and illustrations help to clarify ideas discussed
End of Chapter summaries, exercises, and references help to cement understanding and encourage further study
Speech Coding Algorithms: Foundation and Evolution of Standardized Coders is an invaluable textbook for students and researchers eager to enter the speech coding arena, providing a solid theoretical foundation as well as directions for further research. For professionals working in industry who need to access information regarding the many popular standards, the book represents a one–stop reference where the architecture, bit allocation, computational complexity, and operational aspects are thoroughly explained. Among the standards covered are: