PDF Download Theory and Applications of Digital Speech Processing By Lawrence Rabiner, Ronald Schafer

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Theory and Applications of Digital Speech Processing By Lawrence Rabiner, Ronald Schafer

PDF Download Theory and Applications of Digital Speech Processing By Lawrence Rabiner, Ronald Schafer

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Sales Rank: #340490 in Books
Published on: 2010-03-13
Original language: English
Number of items: 1
Dimensions: 9.20" h x 1.60" w x 6.90" l, 3.65 pounds
Binding: Paperback
1056 pages

Review
"Even after more than 30 years the 1978 textbook by Rabiner and Schafer still remains as one of the most comprehensive for teaching a one-semester graduate-level speech processing course. The new book manages to top that and is definitely representing an improvement over the old one. It doubles the content of the must-have classic, adds many new technology developments in recent years, and expands the application areas which have seen a tremendous growth in the last two decades. The inclusion of additional problems and MATLAB exercises along with real-world speech samples also facilitates convenient stepping stone for designing in-depth class projects. The intended course [Website] will contain demos, illustrations, and speech examples. Such a set of extra information is ideal for demonstrating key processing concepts. It will add good values to the already-appealing textbook." — Chin Hui-Lee, Georgia Institute of Technology

"The book is a thorough and detailed treatment of all aspects of digital speech processing from the fundamentals through a wide variety of applications. The authors are arguably the most influential researchers and expositors in the field, having been pioneers in its early development and remained active through their long and productive careers. The table of contents includes all of the major threads of the field, from the most basic elements through the most recent improvements." — Robert M. Gray, Stanford University

"The authors use a very clear writing style. They express the complex ideas in well organized, appropriate and unambiguous manner that is important to students." — Veton Këpuska, Florida Institute of Technology

"The inclusion of a large set of 217 problems is probably the most extensive. In addition the MATLAB exercises also make it easy for teaching and learning the practical aspects of speech processing." — Chin Hui-Lee, Georgia Institute of Technology

From the Back Cover
"Theory and Applications of Digital Speech Processing" is ideal for graduate students in digital signal processing, and undergraduate students in Electrical and Computer Engineering. With its clear, up-to-date, hands-on coverage of digital speech processing, this text is also suitable for practicing engineers in speech processing. ""
This new text presents the basic concepts and theories of speech processing with clarity and currency, while providing hands-on computer-based laboratory experiences for students. The material is organized in a manner that builds a strong foundation of basics first, and then concentrates on a range of signal processing methods for representing and processing the speech signal.

About the Author
Lawrence Rabiner was born in Brooklyn, New York, on September 28, 1943. He received the S.B., and S.M. degrees simultaneously in June 1964, and the Ph.D. degree in Electrical Engineering in June 1967, all from the Massachusetts Institute of Technology, Cambridge Massachusetts.

From 1962 through 1964, Dr. Rabiner participated in the cooperative program in Electrical Engineering at AT&T Bell Laboratories, Whippany and Murray Hill, New Jersey. During this period Dr. Rabiner worked on designing digital circuitry, issues in military communications problems, and problems in binaural hearing. Dr. Rabiner joined AT&T Bell Labs in 1967 as a Member of the Technical Staff. He was promoted to Supervisor in 1972, Department Head in 1985, Director in 1990, and Functional Vice President in 1995. He joined the newly created AT&T Labs in 1996 as Director of the Speech and Image Processing Services Research Lab, and was promoted to Vice President of Research in 1998 where he managed a broad research program in communications, computing, and information sciences technologies. Dr. Rabiner retired from AT&T at the end of March 2002 and is now a Professor of Electrical and Computer Engineering at Rutgers University, and the Associate Director of the Center for Advanced Information Processing (CAIP) at Rutgers.

Dr. Rabiner is co-author of the books “Theory and Application of Digital Signal Processing” (Prentice- Hall, 1975), “Digital Processing of Speech Signals” (Prentice-Hall, 1978), “Multirate Digital Signal Processing” (Prentice-Hall, 1983), and “Fundamentals of Speech Recognition” (Prentice-Hall, 1993).

Dr. Rabiner is a member of Eta Kappa Nu, Sigma Xi, Tau Beta Pi, the National Academy of Engineering, the National Academy of Sciences, and a Fellow of the Acoustical Society of America, the IEEE, Bell Laboratories, and AT&T. He is a former President of the IEEE Acoustics, Speech, and Signal Processing Society, a former Vice-President of the Acoustical Society of America, a former editor of the ASSP Transactions, and a former member of the IEEE Proceedings Editorial Board.

Ronald W. Schafer is an electrical engineer notable for his contributions to digital signal processing.

After receiving his Ph.D. degree at MIT in 1968, he joined the Acoustics Research Department at Bell Laboratories, where he did research on digital signal processing and digital speech coding. He came to the Georgia Institute of Technology in 1974, where he stayed until joining Hewlett Packard in March 2005.

He has served as Associate Editor of IEEE Transactions on Acoustics, Speech, and Signal Processing and as Vice-President and President of the IEEE Signal Processing Society. He is a Life Fellow of the IEEE and a Fellow of the Acoustical Society of America.

He has received the IEEE Region 3 Outstanding Engineer Award, the 1980 IEEE Emanuel R. Piore Award, the Distinguished Professor Award at the Georgia Institute of Technology, the 1992 IEEE Education Medal and the 2010 IEEE Jack S. Kilby Signal Processing Medal.

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