| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
13:54 |
Tokyo |
Tokyo University of Technology |
Study of Music Visualization Design using Musical Information
Naotsuna Fujimori, Ikuko Sawaya, Momoko Maezawa, Kazuteru Komine, Kenichiro Yanagi, Masaru Miyazaki (NHK) |
As part of music visualization research that we are working on, we have been studying designs to visually feel the music... [more] |
AIT2024-66
pp.121-122 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
New Representations of Content through Visualization of Music
Masaru Miyazaki, Naotsuna Fujimori, Momoko Maezawa, Masaru Takeuchi, Shogo Kawashima, Kazuteru Komine, Kenichiro Yanagi, Ikuko Sawaya (NHK) |
In this paper, we will introduce methods of converting musical expression into visual representations and research work ... [more] |
AIT2023-45
pp.35-38 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
10:30 |
Online |
Online |
Analysis and visualization of pitch-by-pitch vocalization time of J-POP vocals
Runa Matsumoto, Takayuki Ito (Ocha Univ.) |
Comparing previous and recent J-POP hit songs, the authors discuss the hypothesis that there are more leaps in phrases i... [more] |
AIT2022-101
pp.247-249 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
Visualization of song collections for understanding of the relationship between metadata and features
Midori Watanabe, Narumi Kuroko (Ochanomizu Univ.), Hayato Ohya (RecoChoku Co., Ltd.), Takayuki Itoh (Ochanomizu Univ.) |
When performing automatic classification and recommendation for music, there exists a problem that it is not clear which... [more] |
AIT2021-95
pp.223-226 |
| AIT, IIEEJ, AS, CG-ARTS |
2018-03-16
10:45 |
Tokyo |
Tokyo University of Technology |
Visualization of music preference among listeners
Reiko Yoshihisa (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.), Kazuki Yamauchi (RecoChoku) |
Relationships between music and listeners are huge open data.
We can observe interesting trends what types of music lis... [more] |
AIT2018-92
pp.179-180 |
| AIT, IIEEJ, AS, CG-ARTS |
2017-03-14
13:00 |
Tokyo |
Ochanomizu Univ. |
Visualization of music based on lyrics and song characteristics
Nozomi Midorikawa, Toru Kano, Yuriko Takeshima (Tokyo Univ. of Tech.) |
In recent years, along with digitization of music, it has become possible to carry a large number of music with portable... [more] |
AIT2017-123
pp.271-272 |
| AIT, IIEEJ, AS |
2016-03-09
10:40 |
Tokyo |
Tokyo Polytechnic Univ. |
A Variation Visualization System for Understanding Variation Features of Classical Music Composers
Ryota Muraoka, Issei Fujishiro (Keio Univ.) |
Variation is a form of classical music, which consists of a simple melody, called theme, followed by varied theme in ter... [more] |
AIT2016-68
pp.89-92 |
| AIT, IIEEJ, AS |
2015-03-14
13:00 |
Tokyo |
|
SeeGroove: Supporting Groove Learning through Visualization
Naoki Haga, Masanori Nakayama, Issei Fujishiro (Keio Univ.) |
“Groove” is a global feature of musical performance which generalizes surges of a sound stemming from a sense of propuls... [more] |
AIT2015-64
pp.99-102 |
|