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, important 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 textbook, including sinusoidal speech processing. advanced time-frequency analysis, and nonlinear seroacoustic speech production modeling. Coverage includes:

* Speech production and speech perception; a dual view

Crucial distinctions between stochastic and deterministic problems

Pole-zero speech models

Homomorphic signal processing

Short-time Fourier transform analysis/synthesis

Filter-bank and wavelet analysis/synthesis

Nonlinear measurement and modeling techniques

The book's in-depth applications coverage includes speech coding, enhancement, and modification: speaker recognition, noise reduction; signal restoration; dynamic range compression, and more. Discrete-Time Speech Signal Processing: Principles and Practice 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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