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Researcher List >> Tomoko MATSUI
 

Tomoko MATSUI

 
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NameTomoko MATSUI
URLhttp://www.ism.ac.jp/~tmatsui
AffiliationThe Institute of Statistical Mathematics
Job titleProfessor
Degree博士(工学)

Profile

Prof. Tomoko Matsui received the Ph.D. degree from the Computer Science Department, Tokyo Institute of Technology, Tokyo, Japan, in 1997. From 1988 to 2002, she was with NTT, where she worked on speaker and speech recognition. From 1998 to 2002, she was with the Spoken Language Translation Research Labora- tory, ATR, Kyoto, Japan, as a Senior Researcher and worked on speech recognition. From January to June 2001, she was an Invited Researcher in the Acoustic and Speech Research Department, Bell<br />
Laboratories, Murray Hill, NJ, working on finding effective confidence measures for verifying speech recognition results. She is currently a Professor in the Institute of Statistical Mathematics, Tokyo, working on statistical modeling for speech and speaker recognition applications. Prof. Matsui received the paper award of the Institute of Electronics, Information, and Communication Engineers of Japan (IEICE) in 1993.

研究分野

 
  • Informatics / Statistical science / 
  • Informatics / Intelligent robotics / 
  • Informatics / Perceptual information processing / 

委員歴

 
2017
 - 
2018
国文学研究資料館古典籍共同研究事業センター  センター運営委員会
 
2016
 - 
2017
Interspeech2017  技術委員
 
2016
 - 
2017
Odyssey2016 - The Speaker and Language Recognition Workshop  技術委員
 
2016
 - 
2017
2017 IEEE Automatic Speech Recognition and Understanding (ASRU2017) Organizing Committee  Technical Chair
 
2016
 - 
2017
First International Workshop on Symbolic-Neural Learning (SNL-2017) Organizing Committee  Committee Member
 

受賞

 
Nov 2018
ビッグデータを活用した空間詳細なCO2マッピング, CSIS DAYS 2018 優秀研究発表賞, 全国共同利用研究発表大会 CSIS DAYS 2018
 
May 2018
Moment-matching networkによるi-vector生成を用いた話者照合, 日本音響学会 第44回粟屋 潔学術奨励賞, 日本音響学会
 
1993
電子情報通信学会学術奨励
 
1993
電子情報通信学会論文賞
 

論文

 
IEEE/ACM Transactions on Audio, Speech, and Language Processing   1 1   Jan 2019   [Refereed]
Sustainability 2018   10 4472   Oct 2018   [Refereed]
塩田 さやか, 東京, 高道 慎之介
日本音響学会2018年春季研究発表会講演論文集   2 8   May 2018   [Refereed]
辻川 美沙貴, パナソニック株式会社, 西川 剛樹, パナソニック株式会社, 松井 知子
日本音響学会2017年春季研究発表会   1 1   Mar 2017   [Refereed]
Yu Jianguo Aizu University
IEEE International Workshop on Machine Learning for Signal Processing   1 6   Oct 2016   [Refereed]

MISC

 
Ido Nevat, Gareth W. Peters, Gareth W. Peters, Francois Septier, Tomoko Matsui
IEEE Transactions on Signal Processing   63 2597-2609   May 2015
© 1991-2012 IEEE. We develop new algorithms for spatial field reconstruction, exceedance level estimation and classification in heterogeneous (mixed analog &amp; digital sensors) Wireless Sensor Networks (WSNs). We consider spatial physical phenom...
Konstantin Markov, Tomoko Matsui
CEUR Workshop Proceedings   1263    Jan 2014
This paper describes the temporal music emotion recogni- tion system developed at the University of Aizu for the Emo- tion in Music task of the MediaEval 2014 benchmark evalua- tion campaign. The arousal-valence trajectory prediction is cast as a ...
Gareth Peters, Ido Nevat, Shaowei Lin, Tomoko Matsui
IEEE ISSNIP 2014 - 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings      Jan 2014
We develop a new framework for explicitly modelling the threshold exceedence levels of the spatial stochastic process being monitored by a sensor network. Our framework also allows incorporating additional observed features as explanatory factors ...
Konstantin Markov, Konstantin Markov, Tomoko Matsui, Tomoko Matsui
IEEE Access   2 688-697   Jan 2014
© 2014 IEEE. Gaussian Processes (GPs) are Bayesian nonparametric models that are becoming more and more popular for their superior capabilities to capture highly nonlinear data relationships in various tasks, such as dimensionality reduction, time...
Gareth W. Peters, Tor Andre Myrvoll, Tomoko Matsui, Ido Nevat, Francois Septier
2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014   1224-1228   Jan 2014
© 2014 IEEE. Copula models have started to be explored in wireless communications, however to date the properties they offer have not been proven or verified on real data experiments. In this paper we provide the first real evidence that the featu...

書籍等出版物

 
Peters, Gareth UCL, Ido, Nevat, UInstitute for, Infocom Research, A*STAR, Matsui, Tomoko 統計数理研
Dec 2015   
Peters, Gareth UCL, Matsui, Tomoko, 統計数理研究所
Dec 2015   
Peters, Gareth UCL, Matsui, Tomoko, 統計数理研究所
Dec 2015   

講演・口頭発表等

 
山形 与志樹, 国立環境研究所, 吉田 崇紘, 国立, 松井 知子, 統計, 村上 大輔, 統計数理研
CSV研究会   29 Nov 2018   
村上 大輔, 統計数理研究所, 松井 知子, 統計数理研究所, Peters, Gareth, Heriot-Watt University
IBIS2018   6 Nov 2018   

所属学協会

 
ISCA , 電子情報通信学会 , IEEE

共同研究・競争的資金等の研究課題

 
科研費基盤研究(C)
Project Year: Apr 2016 - Mar 2021
科研費基盤研究(S)
Project Year: Apr 2016 - Mar 2021
科研費基盤研究(B)
Project Year: Apr 2019 - Mar 2020
科研費基盤研究(B)
Project Year: Apr 2017 - Mar 2020
科研費基盤研究(B)
Project Year: Apr 2016 - Mar 2019