Prof. Sadaoki Furui
Sadaoki Furui received the B.S., M.S., and Ph.D. degrees from the University of Tokyo, Japan in 1968, 1970, and 1978, respectively. After joining the Nippon Telegraph and Telephone Corporation (NTT) Labs in 1970, he has worked on speech analysis, speech recognition, speaker recognition, speech synthesis, speech perception, and multimodal human-computer interaction. From 1978 to 1979, he was a visiting researcher at AT&T Bell Laboratories, Murray Hill, New Jersey. He was a Research Fellow and the Director of Furui Research Laboratory at NTT Labs. He became a Professor at Tokyo Institute of Technology in 1997. He was Dean of Graduate School of Information Science and Engineering, and Director of University Library. He was given the title of Professor Emeritus and became Professor at Academy for Global Leadership in 2011. He has served as President of Toyota Technological Institute at Chicago (TTIC) from 2013 to 2019, and is now serving as its Chair of the Board of Trustees. He has authored or coauthored over 1,000 published papers and books. He was elected a Fellow of the IEEE, the Acoustical Society of America (ASA), the Institute of Electronics, Information and Communication Engineers of Japan (IEICE) and the International Speech Communication Association (ISCA). He received the Paper Award and the Achievement Award from the IEEE SP Society, the IEICE, and the Acoustical Society of Japan (ASJ). He received the ISCA Medal for Scientific Achievement, and the IEEE James L. Flanagan Speech and Audio Processing Award. He received the NHK (Japan Broadcasting Corporation) Broadcast Cultural Award and the Okawa Prize. He also received the Achievement Award from the Minister of Science and Technology and the Minister of Education, Japan, and the Purple Ribbon Medal from Japanese Emperor. He was accredited as Person of Cultural Merit by the Japanese Government in 2016.
Dr. Mirco Ravanelli
Mirco Ravanelli is currently a post-doc researcher at Mila (Université de Montréal) working under the supervision of Prof. Yoshua Bengio. His main research interests are deep learning, speech recognition, far-field speech recognition, robust acoustic scene analysis, cooperative learning, and unsupervised learning. He is the author or co-author of more than 40 papers on these research topics. He received his Ph.D. (with cum laude distinction) from the University of Trento in December 2017. During his Ph.D., he focused on deep learning for distant speech recognition, with a particular emphasis on noise-robust deep neural architectures.
Dr. Luciana Ferrer
Luciana Ferrer is a researcher at the Computer Science Institute (ICC, for its acronym in Spanish), affiliated to the University of Buenos Aires (UBA) and the National Scientific and Technical Research Council (CONICET), Argentina. Luciana received her Ph.D. degree in Electronic Engineering from Stanford University, USA, in 2009, and her Electronic Engineering degree from the University of Buenos Aires, Argentina, in 2001. Her primary research focus is machine learning applied to speech processing tasks.