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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
15:49 |
Online |
Online |
A Study on Color Auditory Synaesthesia of Music Tones in CD Jackets
Urara Horikawa (TUT), Tomoya Ito (H.I.T), Yuriko Takeshima, Tsukasa Kikuchi (TUT) |
The purpose of this study is to clarify the relationship between numerical data of music and color, and to help in music... [more] |
AIT2022-81
pp.165-168 |
| 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 |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.) |
The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the ... [more] |
AIT2019-146
pp.341-344 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-19
10:00 |
Hokkaido |
Hokkaido Univ. |
A Note on Trend Detection in Popular Music Database
Ryota Nakanishi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for detecting musical trend in popular music database.
The proposed method utilizes Topics... [more] |
HI2013-15 ME2013-43 AIT2013-15
pp.107-110 |
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