Li Deng received his bachelors degree from the University of Science and Technology of China and his Ph.D. degree from the University of Wisconsin-Madison. In 1989, he joined the Department of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada, as assistant professor; he became tenured full professor in 1996. From 1992 to 1993, he conducted sabbatical research at the Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, and from 1997 to 1998, at the ATR Interpreting Telecommunications Research Laboratories, Kyoto, Japan. During 1989-1999, he taught a wide range of electrical and computer engineering courses, both at undergraduate and graduate levels. In 1999, he joined Microsoft Research, Redmond, WA, as senior researcher; he currently serves as principal researcher for the same institution. He has also been affiliate professor in the Department of Electrical Engineering at University of Washington since 2000 after moving to Seattle. His past and current research areas include automatic speech and speaker recognition, statistical methods and machine learning, neural information processing, machine intelligence, audio and acoustic signal processing, statistical signal processing and digital communication, human speech production and perception, acoustic phonetics, auditory speech processing, noise robust speech processing, speech synthesis and enhancement, spoken language understanding systems, multimedia signal processing, and multimodal human-computer interaction. In these areas, he has published more than 300 refereed papers in leading international conferences and journals, and 14 book chapters, and has given keynotes, tutorials, and lectures worldwide. He has been granted more than 20 U.S. or international patents in acoustics, speech/language technology, and signal processing. He has likewise authored two recent books on speech processing.

• Introduction.- A General Modeling and Computational Framework.- Modeling: From Acoustic Dynamics to Hidden Dynamics.- Models with Discrete-Valued Hidden Speech Dynamics.- Models with Continuous-Valued Hidden Speech Trajectories.

Li Deng received his bachelors degree from the University of Science and Technology of China and his Ph.D. degree from the University of Wisconsin-Madison. In 1989, he joined the Department of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada, as assistant professor; he became tenured full professor in 1996. From 1992 to 1993, he conducted sabbatical research at the Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, and from 1997 to 1998, at the ATR Interpreting Telecommunications Research Laboratories, Kyoto, Japan. During 1989-1999, he taught a wide range of electrical and computer engineering courses, both at undergraduate and graduate levels. In 1999, he joined Microsoft Research, Redmond, WA, as senior researcher; he currently serves as principal researcher for the same institution. He has also been affiliate professor in the Department of Electrical Engineering at University of Washington since 2000 after moving to Seattle. His past and current research areas include automatic speech and speaker recognition, statistical methods and machine learning, neural information processing, machine intelligence, audio and acoustic signal processing, statistical signal processing and digital communication, human speech production and perception, acoustic phonetics, auditory speech processing, noise robust speech processing, speech synthesis and enhancement, spoken language understanding systems, multimedia signal processing, and multimodal human-computer interaction. In these areas, he has published more than 300 refereed papers in leading international conferences and journals, and 14 book chapters, and has given keynotes, tutorials, and lectures worldwide. He has been granted more than 20 U.S. or international patents in acoustics, speech/language technology, and signal processing. He has likewise authored two recent books on speech processing.

• Introduction.- A General Modeling and Computational Framework.- Modeling: From Acoustic Dynamics to Hidden Dynamics.- Models with Discrete-Valued Hidden Speech Dynamics.- Models with Continuous-Valued Hidden Speech Trajectories.

Li Deng received his bachelors degree from the University of Science and Technology of China and his Ph.D. degree from the University of Wisconsin-Madison. In 1989, he joined the Department of Electrical and Computer Engineering, University of Waterloo, Ontario, Canada, as assistant professor; he became tenured full professor in 1996. From 1992 to 1993, he conducted sabbatical research at the Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, and from 1997 to 1998, at the ATR Interpreting Telecommunications Research Laboratories, Kyoto, Japan. During 1989-1999, he taught a wide range of electrical and computer engineering courses, both at undergraduate and graduate levels. In 1999, he joined Microsoft Research, Redmond, WA, as senior researcher; he currently serves as principal researcher for the same institution. He has also been affiliate professor in the Department of Electrical Engineering at University of Washington since 2000 after moving to Seattle. His past and current research areas include automatic speech and speaker recognition, statistical methods and machine learning, neural information processing, machine intelligence, audio and acoustic signal processing, statistical signal processing and digital communication, human speech production and perception, acoustic phonetics, auditory speech processing, noise robust speech processing, speech synthesis and enhancement, spoken language understanding systems, multimedia signal processing, and multimodal human-computer interaction. In these areas, he has published more than 300 refereed papers in leading international conferences and journals, and 14 book chapters, and has given keynotes, tutorials, and lectures worldwide. He has been granted more than 20 U.S. or international patents in acoustics, speech/language technology, and signal processing. He has likewise authored two recent books on speech processing.

• Introduction.- A General Modeling and Computational Framework.- Modeling: From Acoustic Dynamics to Hidden Dynamics.- Models with Discrete-Valued Hidden Speech Dynamics.- Models with Continuous-Valued Hidden Speech Trajectories.