Principal Researcher, Microsoft Research, Redmond, USA
Li Deng received the Ph.D. degree from the University of Wisconsin-Madison. He was an assistant professor (1989-1992), tenured associate professor (1992-1996), and tenured Full Professor (1996-1999) at the University of Waterloo, Ontario, Canada. In 1999, he joined Microsoft Research, Redmond, WA, where he is currently a Principal Researcher. Since 2000, he has also been an Affiliate Full Professor and graduate committee member at the University of Washington, Seattle, teaching graduate course of Computer Speech Processing and supervising graduate students. Prior to MSR, he also worked or taught at Massachusetts Institute of Technology, ATR Interpreting Telecom. Research Lab. (Kyoto, Japan), and HKUST. He has been granted over 60 US or international patents in acoustics/audio, speech/language technology, and machine learning. He received numerous awards/honors bestowed by IEEE, ISCA, ASA, Microsoft, and other organizations.
His current (and past) research activities include deep learning and machine intelligence, deep/recurrent/dynamic neural networks for speech and related information processing, automatic speech and speaker recognition, spoken language identification and understanding, speech-to-speech translation, machine translation, language modeling, information retrieval, web search, neural information processing, dynamic systems, machine learning and optimization, parallel and distributed computing, graphical models, audio and acoustic signal processing, image analysis and recognition, compressive sensing, statistical signal processing, digital communication, human speech production and perception, acoustic phonetics, auditory speech processing, auditory physiology and modeling, noise robust speech processing, speech synthesis and enhancement, multimedia signal processing, and multimodal human-computer interactions.
In the general areas of audio/speech/language technology and science, machine learning, signal/information processing, and computer science, he has published over 300 refereed papers in leading journals and conferences, and authored or co-authored 4 books. He is a Fellow of the Acoustical Society of America, a Fellow of the IEEE, and a Fellow of the International Speech Communication Association. He served on the Board of Governors of the IEEE Signal Processing Society (2008-2010). More recently, he served as Editor-in-Chief for the IEEE Signal Processing Magazine (2009-2011), which earned the highest impact factor in 2010 and 2011 among all IEEE publications and for which he received the 2012 IEEE SPS Meritorious Service Award. He recently served as General Chair of the IEEE ICASSP-2013, and currently serves as Editor-in-Chief for the IEEE Transactions on Audio, Speech and Language Processing. His technical work since 2009 on and the leadership in industry-scale deep learning with colleagues and academic collaborators have created significant impact in speech recognition (e.g., 2013 IEEE SPS Best Paper Award on DNN he co-authored), and in other areas of signal/information processing (e.g. CD-DNN/deep-CNN/DCN/DSN/Tensor-DSN/Kernel-DCN/T-DNN for ASR, information retrieval, spoken language understanding, speech synthesis, image recognition, machine translation, web search, etc.).
Professor, Karlsruhe Institute of Technology, Karlsruhe, Germany
Tanja Schultz received her Ph.D. and Masters in Computer Science from University of Karlsruhe, Germany in 2000 and 1995 respectively and passed the German state examination for teachers of Mathematics, Sports, and Educational Science from Heidelberg University, in 1990. She joined Carnegie Mellon University in 2000 and became a Research Professor at the Language Technologies Institute.
Since 2007, she is a Full Professor at the Department of Informatics of the Karlsruhe Institute of Technology (KIT) in Germany. She is the director of the Cognitive Systems Lab, where her research activities focus on human-machine interfaces with a particular area of expertise in rapid adaptation of speech processing systems to new domains and languages. She co-edited a book on this subject and received several awards for this work. Her recent research on silent speech interfaces based on myoelectric signals received best demo and paper prices and was awarded with the Alcatel-Lucent Research Award for Technical Communication in 2012.
Tanja Schultz is the author of more than 250 articles published in books, journals, and proceedings. She is a member of the Society of Computer Science (GI), of the IEEE Computer Society, and currently serves as elected President of the International Speech Communication Association ISCA.
Research Staff Member, IBM T.J. Watson Research Center, New York, USA
Tara Sainath received her Ph.D. in Electrical Engineering and Computer Science from Massachusetts Institute of Technology (MIT), USA in 2009. The main focus of her Ph.D. work was in acoustic modeling for noise robust speech recognition. She then joined the Speech and Language Algorithms group at IBM T.J. Watson Research Center upon completion of Ph.D.
She has organized a Special Session on Sparse Representations at Interspeech 2010. In addition, she has also organized a workshop on deep learning at ICML 2013. She is also a staff reporter for the IEEE Speech and Language Processing Technical Committee (SLTC) Newsletter. She current holds over 50 US patents, and has authored over 50 journal and conference articles. Her research interests are mainly in acoustic modeling, including deep neural networks, sparse representations, and adaptation methods.
Professor, IIT Madras, India
C. Chandra Sekhar received his B.Tech. degree in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati, India, in 1984. He received his M.Tech. degree in Electrical Engineering and Ph.D. degree in Computer Science and Engineering from Indian Institute of Technology (IIT) Madras in 1986 and 1997, respectively. He is currently working as a Professor since 2010 in the Department of Computer Science and Engineering at IIT Madras. He was a Lecturer from 1989 to 1997, an Assistant Professor from 1997 to 2002 and an Associate Professor from 2004 to 2010 in the Department of Computer Science and Engineering at IIT Madras. He was a Japanese Society for Promotion of Science (JSPS) post-doctoral fellow at Center for Integrated Acoustic Information Research, Nagoya University, Nagoya, Japan, from May 2000 to May 2002.
His current research interests are in speech processing, kernel methods, deep learning and content-based information retrieval of multimedia data. He published 21 papers in refereed journals and edited volumes, and 90 papers in the proceedings of international and national conferences. He supervised 5 Ph.D. and 14 M.S. theses. He is currently supervising 3 Ph.D. and 4 M.S. students. He has been an investigator for 14 sponsored research projects. His main research contributions are related to acoustic modeling of subword units of speech in Indian languages using neural network models, acoustic modeling and handwritten character recognition using support vector machines, and dynamic kernels based approaches to pattern analysis and information retrieval tasks in speech and image processing domains. He is a member of IEEE.
Institute Professor, IIIT Hyderabad, India
Dr. Bayya Yegnanarayana is currently an Institute Professor at the International Institute of Information Technology (IIIT) Hyderabad. He was professor & Microsoft Chair at IIIT-H from 2006 to 2012. Prior to joining IIIT-H, he was a professor at IIT Madras (1980 to 2006), a visiting associate professor at Carnegie-Mellon University, Pittsburgh, USA (1977 to 1980), and a member of the faculty at IISc, Bangalore, (1966 to 1978). He received BSc from Andhra University in 1961, and BE, ME and PhD from IISc Bangalore in 1964, 1966, and 1974, respectively.
His research interests are in signal processing, speech, image processing and neural networks. He has published over 350 papers in these areas. He is also the author of the book "Artificial Neural Networks", published by Prentice-Hall of India in 1999. He has supervised 29 PhD and 36 MS theses. He is a Fellow of the Indian National Academy of Engineering, a Fellow of the Indian National Science Academy, a Fellow of the Indian Academy of Sciences, and a Fellow of the IEEE (USA). He was the recipient of the 3rd IETE Prof.S.V.C.Aiya Memorial Award in 1996. He received the Prof.S.N.Mitra memorial Award for the year 2006 from the Indian National Academy of Engineering. He was awarded the 2013 Distinguished Alumnus Award from the Indian Institute of Science Bangalore. He was an Associate Editor for the IEEE Transactions on Audio, Speech and Language Processing during 2003-2006. Currently he is an Associate Editor for the Springer's international journal Circuits, Systems & Signal Processing.
Institute Professor, IIIT Hyderabad, India
Professor Bhaskararao obtained a B.Sc. degree from Andhra University, Visakhapatnam in 1964, an M.A. degree in Sanskrit (Andhra University, 1966), another M.A. degree in Linguistics (University of Poona, 1968), and a Ph.D. degree in Linguistics (University of Poona, 1973). He is currently an Institute Professor at the International Institute of Information Technology, Hyderabad, India. He is also a Professor Emeritus of the Tokyo University of Foreign Studies, a designation that ensued from his long service as a regular Professor at Tokyo University of Foreign Studies, Japan (1995-2011). Prior to it, he was Professor of Phonetics at the Deccan College Research Institute, Pune (1980-1995), Reader in Comparative Dravidian (1975-80), and Research Associate in Phonetics (1970-75) at the same institute in Pune. He held several visiting positions such as Visiting Professorship at Tokyo University of Foreign Studies (1993-94); Visiting Professorship at the Tata Institute for Fundamental Research, Computer Systems and Communications Group (of Prof. P.V.S.Rao) (1990); United Nations (UNDP) Fellow, Cornell University, Department of Linguistics Phonetics Laboratory and at STR-SpeechTech and University of Victoria, Victoria, BC, Canada (1989); Senior Fulbright Scholar, University of California, Los Angeles, Department of Linguistics, Phonetics Laboratory (of Prof. Peter Ladefoged) (1983).
He has worked widely in different subfields of linguistics: articulatory and instrumental phonetics; morphology and syntax; applied phonetics and phonology; phonetic and linguistic documentation; grammatical descriptions; linguistic aspects of language pedagogy; grammatology; and historical comparison. Worked on various languages of different language families of India. His fieldwork languages included: Dravidian: Toda, Koekor Gadaba, Kuwi, Tamil; Indo-Aryan: Pahari languges, Nepali; Indo-Iranian: Kashmiri; Tibeto-Burman: Tiddim Chin (India and Burma), Tangkhul Naga, Newari (Nepal); Autstro-Asiatic: Gutob Gadaba, Korku, Khasi. His main Areas of Interest are: General Linguistic Phonetics; Fundamentals of phonetics of Indian languages; Phonetics of Indian languages applied to Speech Technology and to Language Pathology; Grammatology of Brahmic scrpts; Morphology of Indian languages.
Professor, IIT Guwahati, India
Mahadeva Prasanna received his Ph.D. degree from Indian Institute of Technology Madras, India in 2004. He is currently a Professor in the department of Electronics and Electrical Engineering, at Indian Institute of Technology Guwahati, India.
His areas of interest are speech signal processing, speech enhancement, speaker recognition, speech recognition, speech synthesis and handwriting recognition.
Assistant Professor, IISc Banglore, India
Chandra Sekhar Seelamantula received his Ph.D. in Electrical Communication Engineering from Indian Institute of Science, Bangalore, India in 2005. He is currently an Assistant Professor in the department of Electrical Engineering, at Indian Institute of Science, Bangalore, India.
His research interests include speech/audio/bio-acoustic signal processing, sampling theories, sparse signal processing and biomedical imaging/image processing.