OGAWA, Tetsuji

J-GLOBAL         Last updated: Oct 10, 2019 at 02:56
OGAWA, Tetsuji
Waseda University
Faculty of Science and Engineering School of Fundamental Science and Engineering
Job title
Ph.D(Waseda University)
Research funding number


Tetsuji Ogawa received his B.S., M.S., and Ph.D. in electrical engineering from Waseda University in Tokyo, Japan, in 2000, 2002, and 2005. He was a Research Associate from 2004 to 2007 and a Visiting Lecturer in 2007 at Waseda University. He was an Assistant Professor atWaseda Institute for Advanced Study from 2007 to 2012. He has been an Associate Professor at Waseda University and Egypt-Japan University of Science and Technology (E-JUST) since 2012. He was a Visiting Scholar in the Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD, from June to September in 2012 and from June to August in 2013, and a Visiting Scholar in Speech Processing Group, Faculty of Information Technology, Brno University of Technology, Czech Republic from June to July in 2014 and May to August in 2015. His research interests include stochastic modeling for pattern recognition, speech enhancement, and speech and speaker recognition. He is a member of the Institute for of Electrical and Electronics Engineering (IEEE), Information Processing Society of Japan (IPSJ) and Acoustic Society of Japan (ASJ). He received the Awaya Prize Young Researcher Award from the ASJ in 2011 and Yamashita SIG Research Award from the IPSJ in 2013.

Research Areas


Academic & Professional Experience

Apr 2004
Mar 2007
Research Associate, Waseda University
Apr 2007
Oct 2007
Visiting Lecturer, Waseda University
Nov 2007
Mar 2012
Assistant Professor, Waseda Institute for Advanced Study
Apr 2012
Mar 2015
Adjunct Associate Professor, Egypt-Japan University of Science and Technology
Apr 2012
Associate Professor, Waseda University


Apr 1996
Mar 2000
Waseda University
Apr 2000
Mar 2002
Waseda University
Apr 2002
Mar 2005
Waseda University

Published Papers

Adversarial autoencoder for reducing nonlinear distortion
Naohiro Tawara, Tetsunori Kobayashi, Masaru Fujieda, Kazuhiro Katagiri, Takashi Yazu, Tetsuji Ogawa
Proc. APSIPA2018      Nov 2018   [Refereed]
Acoustic feature representation based on timbre for fault detection of rotary machines
Kesaaki Menemura, Tetsuji Ogawa, Tetsunori Kobayashi
Proc. SDPC2018      Aug 2018   [Refereed]
Sequential fish catch forecasting using Bayesian state space models
Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto, Tetsuji Ogawa
Proc. ICPR2018   776-781   Aug 2018   [Refereed]
Takanori Hasegawa, Jun Ogata, Masahiro Murakawa, Tetsuji Ogawa
Proc. ICPHM2018   1-7   Jun 2018   [Refereed]
Tsuyoshi Morioka, Naohiro Tawara, Tetsuji Ogawa, Atsunori Ogawa, Tomoharu Iwata, Tetsunori Kobayashi
Proc. ICASSP2018   6084-6088   Apr 2018   [Refereed]

Conference Activities & Talks

Toward proactive forecasting for smart maintenance of infrastructure equipment and support for primary industry [Invited]
Tetsuji Ogawa
7th Research Seminar in E-JUST   Mar 2018   Egypt-Japan University of Science and Technology (E-JUST)
High resolution traffic maps generation using cellular big data
Ahmed El-Mahdy, Essam Algizawy, Tetsuji Ogawa, Hisham Shishiny, Mohamed Badder, Keiji Kimura
NetMob2015   Apr 2015   
Sound source separation system and acoustic signal acquisition device
Tetsuji Ogawa
Leading Edge Japan 2009   Mar 2009   
Multi-layer audio segregation and its application to double talk recognition
Toshiyuki Sekiya, Tomohiro Sawada, Tetsuji Ogawa, Tetsunori Kobayashi
SWIM, Lectures by Masters in Speech Processing   Jan 2004   

Research Grants & Projects

Deep semantic annotation of video contents
Project Year: Apr 2017 - Mar 2021
A study on total optimization of multiple pattern recognition systems using cooperative and adaptive training
Project Year: Apr 2013 - Mar 2016
Attempts have been made to cooperatively optimize multiple pattern recognition systems, developing a total system efficiently and automatically. Specifically, the clustering technique that is robust against the environmental changes and multistrea...
Effective improvement of time-series pattern recognition systems using clustering and unsupervised adaptive training
Project Year: Apr 2011 - Mar 2013
I developed technologies for clustering speech data into acoustic attributes such as speakers and types of noise and technologies for adaptively optimizing speech recognition systems in unsupervised ways. The developed technologies would be essent...
Project Year: 2008 - 2010
We sophisticated generation/recognition methods of linguistic and paralinguistic information and achieved a communication robot which can make conversation with a group of people. The robot was used to stimulate activity of the human to human conv...
Project Year: 2003 - 2006
As a tool for investigating fundamental elements of natural spoken language communication, a prototype of spoken dialogue system with understanding and generating functions of linguistic and para-linguistic information was developed.
Although many...


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