Building Foundations and Developing Applications for Next-Generation Media Content Ecosystem Technologies

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Research Director

Masataka Goto

Masataka Goto

(Prime Senior Researcher, Human Informatics and Interaction Research, National Institute of Advanced Industrial Science and Technology (AIST))

1998 Received the Doctor of Engineering degree from Waseda University
1998 Researcher, Electrotechnical Laboratory (ETL)
2000 Researcher of Precursory Research for Embryonic Science and Technology (PRESTO), Japan Science and Technology Agency (JST)
2001 Research Scientist, National Institute of Advanced Industrial Science and Technology (AIST)
2005 Senior Research Scientist, AIST
2009 Leader of the Media Interaction Group, AIST
2011 Prime Senior Researcher, AIST

Program Manager

Hiroyuki Itoh

Hiroyuki Itoh *)

(ACCEL Program Manager, Japan Science and Technology Agency)

1985 Secretary, Faculty of Engineering, Hokkaido University
1989 Graduated from Faculty of Economics, Hokkai-Gakuen University
1991 Secretary, School of General Education, Hokkaido University
1995 Founder/CEO, Crypton Future Media, INC.
2008 Guest Professor, Hokkaido Information University
2012 Professor, Kyoto College of Graduate Studies for Informatics
2014 Director, ACTNOW, Inc.
2016 Chairman, No Maps Committee
2016 ACCEL Program Manager, JST
*)Resign the PM post to concentrate on commercialization on October 31, 2020. After that,
Shohei Takeuchi (Japan Science and Technology Agency) will be in charge of PM work for 5 months until the end of the project (scheduled for March 31, 2021).

Outline of R&D Project

Under the previous CREST project, we developed advanced automatic music-understanding technologies that estimate important elements of music, such as melody, beat, and chorus sections (music structure), by analyzing musical audio signals. In addition, we have developed and released web-based music services that not only allow users to passively appreciate music content, but also more actively enjoy it.
For the ACCEL project, we will enhance the automatic music-understanding technologies described above, and establish foundational technologies that enable large-scale analysis and synthesis of diverse music content. In addition, we will develop foundational technologies that support users in three respects: content appreciation, creation, and co-creation (the act of creating more valuable content and communities by collaborating with others). Furthermore, we seek to contribute to developing the next-generation media content industry by building a service platform that utilizes these technologies, thereby enabling various services such as content appreciation support services, creation support services, and co-creation support services to be realized.


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