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Afficher les exemplaires de cette édition ISBNJohn H. L. Hansen is an associate professor at the University of Colorado at Boulder; he holds appointments in the Department of Speech, Language, and Hearing Sciences and in the Department of Electrical and Computer Engineering. Dr. Hansen serves as associate director for the Center for Spoken Language Understanding (CSLU) and director of research activities of the Robust Speech Processing Laboratory at CSLU. He has served as technical advisor to the U.S. delegate for NATO, and he is associate editor of the IEEE Transactions on Speech and Audio Processing and of the IEEE Signal Processing Letters. Dr. Hansen received the 1990 National Science Foundation Research Initiation Award and has been named a Lilly Foundation Teaching Fellow for contributions to the advancement of engineering education.
John G. Proakis is a faculty member of the Electrical and Computer Engineering Department at Northeastern University. His professional experience is in the general area of digital communications and digital signal processing. Dr. Proakis is the author of Digital Communications (McGraw–Hill, 3rd ed., 1995) and the coauthor of Introduction to Digital Signal Processing (Prentice Hall, 3rd ed., 1996); Advanced Digital Signal Processing (Macmillan, 1992); Communication Systems Engineering (Prentice Hall, 1994); Digital Signal Processing Using MATLAB (PWS, 1997); and Contemporary Communication Systems Using MATLAB (PWS, 1998). He is a Life Fellow of the IEEE.
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 speech 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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