Shoichi Koyama

J-GLOBAL         Last updated: Jan 2, 2019 at 12:37
 
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Name
Shoichi Koyama
URL
http://www.sh01.org/
Affiliation
The University of Tokyo
Section
The Graduate School of Information Science and Technology
Job title
Assistant Professor (Lecturer)
Degree
Ph.D. (Information Science and Technology)(The University of Tokyo)

Profile

Shoichi Koyama received the B.E., M.S., and Ph.D. degrees in mathematical engineering and information physics from the University of Tokyo, Japan, in 2007, 2009, and 2014, respectively. He joined Nippon Telegraph and Telephone Corporation (NTT) in 2009 and started the career as a researcher in acoustic signal processing at NTT Cyberspace Laboratories (currently Media Intelligence Laboratories). In 2014, he joined the Graduate School of Information Science and Technology, the University of Tokyo, as an Assistant Professor (Research Associate) and now an Assistant Professor (Lecturer). From 2016 to 2018, he was also a visiting researcher at Université Paris Diderot (Paris7) / Institut Langevin.
Dr. Koyama was awarded the Young Researcher Award on Measurement Division by the Society of Instrument and Control Engineers (SICE) in 2009, the Best Young Researcher Paper Award on Sensors and Micromachines Society by the Institute of Electrical Engineers of Japan (IEEJ) in 2010, the Awaya Prize Young Researcher Award by Acoustical Society of Japan (ASJ) in 2011, the Itakura Prize Young Researcher Award by ASJ in 2015, the Telecom System Technology Award by Telecommunication Advancement Foundation in 2015, and the Research Award by Funai Foundation for Information Technology in 2018. He is also a member of the IEEE, Institute of Electronics, Information and Communication Engineers (IEICE), Audio Engineering Society (AES), and ASJ.

Research Interests

 
 

Research Areas

 
 

Academic & Professional Experience

 
Dec 2018
 - 
Today
FY2018 Excellent Young Researcher, The University of Tokyo
 
Oct 2018
 - 
Today
Researcher, PRESTO, JST
 
Apr 2018
 - 
Today
Assistant Professor (Lecturer), Graduate School of Information Science and Technology, The University of Tokyo
 
Apr 2016
 - 
Mar 2018
Visiting researcher, Université Paris Diderot (Paris 7) / Institut Langevin
 
Apr 2014
 - 
Mar 2018
Assistant Professor (Research Associate), Graduate School of Information Science and Technology, The University of Tokyo
 

Education

 
Apr 2007
 - 
Mar 2009
Department of Information Physics and Computing, Graduate School of Information Science and Technology, The University of Tokyo
 
Apr 2003
 - 
Mar 2007
Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The University of Tokyo
 

Published Papers

 
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
IEEE Transactions on Signal Processing   66 3327-3338   Jun 2018   [Refereed]
© 1991-2012 IEEE. A sparse representation method for multidimensional signals is proposed. In generally used group-sparse representation algorithms, the sparsity is imposed only on a single dimension and the signals in the other dimensions are sol...
Shoichi Koyama, Shoichi Koyama, Naoki Murata, Hiroshi Saruwatari
Journal of the Acoustical Society of America   143 3780-3795   Jun 2018   [Refereed]
© 2018 Author(s). A sound field recording and reproduction method based on sparse sound field decomposition is proposed. Most current methods are based on plane-wave or harmonic decomposition of the pressure distribution obtained by microphones, w...
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari
IEEE Signal Processing Letters   25 135-139   Jan 2018   [Refereed]
© 2017 IEEE. A sound field recording method based on spherical or circular harmonic analysis for arbitrary array geometry and directivity of microphones is proposed. In current methods based on harmonic analysis, a sound field is decomposed into h...
Shoichi Koyama, Kenichi Furuya, Keigo Wakayama, Suehiro Shimauchi, Hiroshi Saruwatari
The Journal of the Acoustical Society of America   139(3) 1024-1036   2016   [Refereed]
Shoichi Koyama,Ken'ichi Furuya,Yoichi Haneda,Hiroshi Saruwatari
IEEE Journal of Selected Topics in Signal Processing   9(5) 881-894   May 2015   [Refereed]

Misc

 
小山 翔一
電子情報通信学会誌 = The journal of the Institute of Electronics, Information and Communication Engineers   100(6) 474-478   Jun 2017   [Invited]
映像情報メディア学会誌 = The journal of the Institute of Image Information and Television Engineers   68(8) 621-624   Aug 2014   [Invited]
Koyama Shoichi
The Journal of the Acoustical Society of Japan   68(11) 584-589   Nov 2012   [Invited]

Conference Activities & Talks

 
Shoichi Koyama, Shoichi Koyama, Laurent Daudet
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics   7 Dec 2017   
© 2017 IEEE. Sparse representations of sound fields have become popular in various acoustic inverse problems. The simplest models assume spatial sparsity, where a small number of sound sources are located in the near-field. However, the performanc...
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings   16 Jun 2017   
© 2017 IEEE. A sound field reproduction method that exploits prior information on listening areas is proposed. Most current methods are aimed at reproducing the sound field over the entire space or around listener locations. We formulate the objec...
Naoki Murata, Shoichi Koyama, Norihiro Takamune, Hiroshi Saruwatari
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings   16 Jun 2017   
© 2017 IEEE. We propose a sound field decomposition method that takes into consideration spatio-temporal sparsity. It has been proved that sparse representation of a sound field is effective in reducing errors originating from spatial aliasing art...
Natsuki Ueno, Shoichi Koyama, Hiroshi Saruwatari
2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings   10 Apr 2017   
© 2017 IEEE. A sound field reproduction method using prior information on listening areas is proposed. Most current methods aim to reproduce the sound field over the entire space or around the listener's location. The methods considering the locat...
Hiroaki Nakajima, Daichi Kitamura, Norihiro Takamune, Shoichi Koyama, Hiroshi Saruwatari, Yu Takahashi, Kazunobu Kondo
2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016   17 Jan 2017   
© 2016 Asia Pacific Signal and Information Processing Association. We address a novel nonnegative matrix factorization (NMF) with a new basis deformation method to handle various music sounds. Conventional supervised NMF has a critical problem tha...

Awards & Honors

 
2018
The Research Award, Funai Foundation for Information Technology (FFIT)
 
2015
The Telecom System Technology Award, Telecommunication Advancement Foundation
 
2015
The Itakura Prize Innovative Young Researcher Award, Acoustical Society of Japan
 
2011
The Awaya Prize Young Researcher Award, Acoustical Society of Japan
 
2010
The Best Young Researcher Paper Award, IEEJ Sensors and Micromachines Society
 

Research Grants & Projects

 
JST: PRESTO (Humans and Interactions)
Project Year: Oct 2018 - Mar 2022    Investigator(s): Shoichi Koyama
Study of Signal Processing for Sound Field Measurement and Synthesis
The University of Tokyo: FY2018 Excellent Young Researcher
Project Year: Dec 2018 - Dec 2020    Investigator(s): Shoichi Koyama
Japan Society for the Promotion of Science Postdoctrial Fellow for Research Abroad
Project Year: Apr 2016 - Mar 2018    Investigator(s): Shoichi Koyama
JSPS: KAKENHI Grant-in-Aid for Young Scientists (A)
Project Year: 2015 - 2018    Investigator(s): Shoichi Koyama
公益信託 小野音響学研究助成基金
Project Year: 2015 - 2015    Investigator(s): Shoichi Koyama