Dr. Dong Yu (俞栋) joined Microsoft Corporation in 1998 and the Microsoft Speech and Dialog Research Group in 2002, where he currently is a principal researcher. He holds a Ph.D. degree in computer science from University of Idaho, an MS degree in computer science from Indiana University at Bloomington, an MS degree in electrical engineering from Chinese Academy of Sciences, and a BS degree (with honor) in electrical engineering from Zhejiang University (China). His current research interests include speech processing, robust speech recognition, discriminative training, and machine learning. He has published two books and over 140 papers in these areas and is the inventor/coinventor of near 60 granted/pending patents.
His most recent work focuses on deep learning and its application in large vocabulary speech recognition. The context-dependent deep neural network hidden Markov model (CD-DNN-HMM) he co-proposed and developed has been seriously challenging the dominant position of the conventional GMM based system for large vocabulary speech recognition and helped popularize deep learning. His work was recognized by the IEEE SPS 2013 best paper award.
Dr. Dong Yu is a senior member of IEEE, a member of ACM, and a member of ISCA. He is currently serving as a member of the IEEE Speech and Language Processing Technical Committee (2013-) and an associate editor of IEEE transactions on audio, speech, and language processing (2011-). He has served as an associate editor of IEEE signal processing magazine (2008-2011) and the lead guest editor of IEEE transactions on audio, speech, and language processing - special issue on deep learning for speech and language processing (2010-2011).