Based on years of instruction and field expertise, this volume offers the necessary tools to understand all scientific, computational, and technological aspects of speech processing. The book emphasizes mathematical abstraction, the dynamics of the speech process, and the engineering optimization practices that promote effective problem solving in this area of research and covers many years of the authors' personal research on speech processing. Speech Processing helps build valuable analytical skills to help meet future challenges in scientific and technological advances in the field and considers the complex transition from human speech processing to computer speech processing.
Analytical background and techniques: discrete-time signals, systems and transforms; analysis of discrete-time speech signals; probability and random processes; linear model and dynamic system model; optimization methods and estimation theory;statistical pattern recognition. Fundamentals of speech science: phonetic process; phonological process. Computational phonology and phonetics: computational phonology; computational models for speech production; computational models for auditory speechprocessing. Speech technology in selected areas: speech recognition; speech enhancement; speech synthesis.