Xiaodong He received his bachelor's degree from Tsinghua University, Beijing, China, in 1996, and earned his master's degree from the Chinese Academy of Sciences in 1999, and his doctoral degree from the University of Missouri-Columbia in 2003. He joined the Speech and Natural Language group of Microsoft in 2003, and the Natural Language Processing group of Microsoft Research, Redmond, WA, in 2006, where he currently serves as researcher. His research areas include statistical machine learning, automatic speech recognition, natural language processing, machine translation, signal processing, nonnative speech processing, and human-computer interaction. In these areas, he has authored/coauthored more than 30 refereed papers in leading international conferences and journals. He has filed more than 10 U.S. or international patents in the areas of speech recognition, language processing, and machine translation. He served as a reviewer for major conferences and journals in the areas of speech recognition, natural language processing, signal processing, and pattern recognition. He also served on program committees of various conferences in these areas. He is a member of ACL, IEEE, ISCA, and Sigma Xi.Li Deng received his bachelor's 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 papersin 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 and Background.- Statistical Speech Recognition: A Tutorial.- Discriminative Learning: A Unified Objective Function.- Discriminative Learning Algorithm for Exponential-Family Distributions.- Discriminative Learning Algorithm for Hidden Markov Model.- Practical Implementation of Discriminative Learning.- Selected Experimental Results.- Epilogue.- Major Symbols Used in the Book and Their Descriptions.- Mathematical Notation.- Bibliography.

Xiaodong He received his bachelor's degree from Tsinghua University, Beijing, China, in 1996, and earned his master's degree from the Chinese Academy of Sciences in 1999, and his doctoral degree from the University of Missouri-Columbia in 2003. He joined the Speech and Natural Language group of Microsoft in 2003, and the Natural Language Processing group of Microsoft Research, Redmond, WA, in 2006, where he currently serves as researcher. His research areas include statistical machine learning, automatic speech recognition, natural language processing, machine translation, signal processing, nonnative speech processing, and human-computer interaction. In these areas, he has authored/coauthored more than 30 refereed papers in leading international conferences and journals. He has filed more than 10 U.S. or international patents in the areas of speech recognition, language processing, and machine translation. He served as a reviewer for major conferences and journals in the areas of speech recognition, natural language processing, signal processing, and pattern recognition. He also served on program committees of various conferences in these areas. He is a member of ACL, IEEE, ISCA, and Sigma Xi.Li Deng received his bachelor's 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 papersin 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 and Background.- Statistical Speech Recognition: A Tutorial.- Discriminative Learning: A Unified Objective Function.- Discriminative Learning Algorithm for Exponential-Family Distributions.- Discriminative Learning Algorithm for Hidden Markov Model.- Practical Implementation of Discriminative Learning.- Selected Experimental Results.- Epilogue.- Major Symbols Used in the Book and Their Descriptions.- Mathematical Notation.- Bibliography.

Xiaodong He received his bachelor's degree from Tsinghua University, Beijing, China, in 1996, and earned his master's degree from the Chinese Academy of Sciences in 1999, and his doctoral degree from the University of Missouri-Columbia in 2003. He joined the Speech and Natural Language group of Microsoft in 2003, and the Natural Language Processing group of Microsoft Research, Redmond, WA, in 2006, where he currently serves as researcher. His research areas include statistical machine learning, automatic speech recognition, natural language processing, machine translation, signal processing, nonnative speech processing, and human-computer interaction. In these areas, he has authored/coauthored more than 30 refereed papers in leading international conferences and journals. He has filed more than 10 U.S. or international patents in the areas of speech recognition, language processing, and machine translation. He served as a reviewer for major conferences and journals in the areas of speech recognition, natural language processing, signal processing, and pattern recognition. He also served on program committees of various conferences in these areas. He is a member of ACL, IEEE, ISCA, and Sigma Xi.Li Deng received his bachelor's 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 papersin 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 and Background.- Statistical Speech Recognition: A Tutorial.- Discriminative Learning: A Unified Objective Function.- Discriminative Learning Algorithm for Exponential-Family Distributions.- Discriminative Learning Algorithm for Hidden Markov Model.- Practical Implementation of Discriminative Learning.- Selected Experimental Results.- Epilogue.- Major Symbols Used in the Book and Their Descriptions.- Mathematical Notation.- Bibliography.