Satoshi Nakamura

Satoshi Nakamura is Professor of Graduate School of Information Science, Nara Institute of Science and Technology, Japan, Honorarprofessor of Karlsruhe Institute of Technology, Germany, and ATR Fellow. He received his B.S. from Kyoto Institute of Technology in 1981 and Ph.D. from Kyoto University in 1992. He was Associate Professor of Graduate School of Information Science at Nara Institute of Science and Technology in 1994-2000. He was Director of ATR Spoken Language Communication Research Laboratories in 2000-2008 and Vice president of ATR in 2007-2008. He was Director General of Keihanna Research Laboratories and the Executive Director of Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, Japan in 2009-2010. He is currently Director of Data Driven Science Center and Augmented Human Communication laboratory, and a full professor of Graduate School of Information Science at Nara Institute of Science and Technology. He is interested in modeling and systems of speech-to-speech translation and speech recognition. He is one of the leaders of speech-to-speech translation research and has been serving for various speech-to-speech translation research projects in the world. He received the Commendation for Science and Technology by the Minister of Education, Science and Technology, and the Commendation for Science and Technology by the Minister of Internal Affair and Communications. He also received LREC Antonio Zampoli Award 2012 and many domestic awards. He has been Elected Board Member of International Speech Communication Association, ISCA, since June 2011, IEEE Signal Processing Magazine Editorial Board Member during April 2012-2014, IEEE SPS Speech and Language Technical Committee Member since 2013, and IEEE Fellow since 2016.

Associated articles

JTEHM, Articles, Published Articles
Detecting Dementia through Interactive Computer Avatars
       This paper proposes a new approach to automatically detect dementia. Even though some works have detected dementia from speech and language attributes, most have applied detection using picture descriptions, narratives, and cognitive tasks. In this paper, we propose a new... Read more
OJEMB, Articles
Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training
Goal: Although automated social skills training has been proposed to enhance human social skills, the following two aspects have not been adequately explored: what types of feedback are effective from virtual agents and the extent to which such systems enhance... Read more