Essential principles, practical examples, current applications, and leading-edge research.
In this book, Thomas F. Quatieri presents the field's most intensive, up-to-date tutorial and reference on discrete-time speech signal processing. Building on his MIT graduate course, he introduces key principles, essential applications, and state-of-the-art research, and he identifies limitations that point the way to new research opportunities.
Quatieri provides an excellent balance of theory and application, beginning with a complete framework for understanding discrete-time speech signal processing. Along the way, he presents important advances never before covered in a speech signal processing text book, including sinusoidal speech processing, advanced time-frequency analysis, and nonlinear aeroacoustic speech production modeling. Coverage includes:
The book's in-depth applications coverage includes speech coding, enhancement, and modification; speaker recognition; noise reduction; signal restoration; dynamic range compression, and more. Principles of Discrete-Time Speech Processing also contains an exceptionally complete series of examples and Matlab exercises, all carefully integrated into the book's coverage of theory and applications.
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THOMAS F. QUATIERI is a Senior Member of the Technical Staff at MIT's Lincoln Laboratory in Lexington, MA. He is involved in digital signal processing for speech and audio modification, coding, enhancement, and speaker recognition, and he developed MIT's graduate course in Digital Speech Processing. Quatieri's publications and papers include Speech Analysis/Synthesis Based on a Sinusoidal Representation, winner of the 1990 IEEE Signal Processing Society's Senior Award, and Energy Separation in Signal Modulations with Application to Speech Analysis, winner of the 1994 IEEE Signal Processing Society's Senior Award and the 1995 IEEE W.R.G. Baker Prize Award. A Fellow of the IEEE and a member of Sigma Xi, Tau Beta Pi, Eta Kappa Nu, and the Acoustical Society of America, he holds S.M., E.E., and Sc.D. degrees from MIT.
For advanced upper level undergraduate courses and graduate level courses in speech signal processing in Electrical Engineering covering application areas of telecommunications, speech on the internet, biometric and recognition technology, audio and speech special effects in the music and entertainment industries, and speech and hearing science. It is also useful as a reference for speech signal researchers in a university, government, or industrial laboratory. This book provides an up-to-date, intensive introduction to the fundamental theory of discrete-time speech signal processing while presenting the state-of-the-art in speech processing research, its applications to speech modification and enhancement, speech coding, and speaker recognition, as well as areas for further advancement in the field.
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