Fundamentals of Speech Recognition 1st Edition  (Others, Paperback, Lawrence Rabiner, Biing-Hwang Juang, B. Yegnanarayana)

Fundamentals of Speech Recognition is a comprehensive book for computer scientists working with speech recognition technology. The book explains how machines interpret speech and how they can be coded and programmed to improve their recognition algorithms. The book also explores how Automatic Speech Recognition uses models of speech production, speech characterization, methods of analysis, to form a basis for pattern comparison, hidden Markov models and speech recognition systems. The book discusses everything from isolated word recognition to large vocabulary continuous speech recognition systems, giving students a complete overview of the subject. In addition, the book discusses practical implementation of the topics, giving students valuable inputs on the practical barriers to speech recognition. The book is a seminal text on the topic and an essential resource for students and programmers trying to implement a flexible speech recognition system into their programs.

About the Authors

B. Yegnanarayana is an Indian scientist and Professor and Microsoft Chair at the International Institute of Information Technology, Hyderabad. A graduate of Andhra University, Waltair, he pursued his Master's and doctoral degrees at the Indian Institute of Science (IISc) Bangalore, studying electrical engineering. He currently conducts research in the fields of signal processing, speech, image processing, and neural networks.

Lawrence Rabiner is a Professor-II at the Department of Electrical and Computer Engineering, Rutgers University, and works in the Center for Advanced Information Processing (CAIP). He is also a Professor at the Department of Electrical and Computer Engineering, at the University of California at Santa Barbara. He is interested in research in the fields of digital signal processing, digital speech processing, multimedia communications, multimodal processing (fusion of sound, vision, tactile inputs), and shared reality systems.

Biing-Hwang (Fred) Juang is a Professor at the School of Electrical & Computer Engineering, Georgia Institute of Technology, where he holds the chairMotorola Foundation Chair Professor and Georgia Research Alliance Eminent Scholar at the Digital Signal Processing Group and Telecommunications Group.