Modern Speech Processing Technology and Applications

Author: Zhang Xiongwei et al.
Publisher:
Publish Date: 2003-08-01
Features: This book starts from the human vocal mechanism and auditory mechanism, providing a comprehensive and systematic introduction to the fundamentals, principles, methods, and applications of modern speech signal processing. It first introduces the basic properties and mathematical models of speech signals, then elaborates on time-domain processing techniques for short-term signals, transform domain analysis, and linear prediction analysis. It also covers the fundamental principles and methods of vector quantization. The book focuses on several key speech processing technologies, including speech coding, speech recognition, speech synthesis, and speech enhancement. Finally, it introduces several key technologies in speech communication applications and the basic methods for designing real-time speech processing systems. With an eye on the new developments in speech signal processing, the book also discusses the application of new technologies and methods in the field of signal processing, such as wavelets, chaos, fractals, and artificial neural networks, in speech signal processing. The appendix provides theoretical derivations of speech processing-related technologies, along with practical examples of C programs and MATLAB programs, for reference by relevant personnel. The book covers a broad range of topics with a strong focus, offers in-depth yet accessible explanations of principles, emphasizes the integration of theory and practical applications, and is highly readable. It can serve as a textbook for senior undergraduate students in communication engineering, electronic engineering, and information engineering, as well as for graduate students in signal and information processing and communication and information systems. It is also a valuable reference for researchers and engineers in speech processing and information technology.