Discrete-Time Speech Signal Processing---Principles and Applications

Author: Thomas F. Quatieri
Publisher:
Publish Date: 2004-08-01
Features: Speech is the most fundamental means for people to exchange ideas and engage in social activities. A thorough understanding of the basic theories, algorithm principles, research methods, and challenges in digital processing of speech signals is a treasure for researchers in the field of speech. An excellent textbook serves as the carrier of this treasure. Under the organization and leadership of Professor Alan V. Oppenheim, an authority in digital signal processing from MIT, Prentice Hall Publishing Company in the United States published a series of 27 books on signal processing. This book is one of them. Professor Thomas F. Quatieri has been engaged in research on speech signal processing since the 1980s, has published numerous papers on speech and audio enhancement, coding, and recognition, and has primarily developed the graduate course "Digital Speech Processing" at MIT. Based on years of teaching experience, he completed this book, which is an outstanding graduate-level textbook in the field of speech signal processing, refined over a long period. The translation and publication of this book will have significant importance for improving the quality of training for graduate students in the field of speech signal processing in China. The book is divided into 14 chapters, covering topics such as the fundamentals of discrete-time signal processing, the production and classification of speech, the acoustical theory of speech production, the analysis and synthesis of zero-pole speech models, homomorphic signal processing, short-time Fourier transform analysis and synthesis, filter bank analysis and synthesis, sinusoidal analysis and synthesis, fundamental frequency estimation in the frequency domain, non-linear measurement and modeling techniques, speech coding, speech enhancement, and speaker recognition. The book provides a detailed explanation of the fundamental theories, modeling mechanisms, algorithm derivations, practical examples, and MATLAB exercises for solving problems related to speech signal processing. The content is systematic, in-depth, easy to read, and well-illustrated, making it an excellent teaching resource. What is even more valuable is that, in addition to the references cited, most of the content reflects the author's own research and teaching insights, a first-time introduction in a teaching textbook. This book can be considered the best guide and reference for the field of speech signal processing. Based on the graduate courses he teaches at MIT, the author introduces the main principles, important applications, and recent research trends in speech signal processing, as well as the progress and limitations of new research directions. The book achieves an excellent balance between theory and application. It first explains the complete theoretical foundation for understanding discrete-time speech signal processing, and then introduces important research advancements in speech signal processing, including sinusoidal speech processing, speech time-frequency analysis, and non-linear acoustic speech production models, which have never been mentioned in any previous speech signal processing textbook. In the application section, the book provides an in-depth introduction to topics such as speech coding, speech enhancement, speech synthesis, speaker recognition, speech noise reduction, speech signal restoration, and dynamic range compression. It is worth noting that the book appropriately incorporates very complete examples and MATLAB exercises in both the theoretical and applied sections. This book is suitable as a graduate-level textbook for digital speech processing and related fields, as well as a reference for researchers in the relevant field.