| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2024-03-05
10:55 |
Tokyo |
Tokyo University of Technology (Tokyo) |
Building a Music Creation System for a One Time Experience
Akihiro Suzuki, Kenichiro ITO (TUT) |
The objective of this research is to create “one-time music” using chance, through space and time interwoven between peo... [more] |
AIT2024-59
pp.93-96 |
| AIT, IIEEJ, AS, CG-ARTS |
2022-03-08
10:30 |
Online |
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 |
| ME |
2021-02-27
10:30 |
|
|
Relation between Sound Frequencies and Human Emotional Characteristics
Mituski Ootani, Yasuyuki Saito (NITKC) |
In this study, we investigate the relationship between the timbre of a musical instrument and human emotions
with respe... [more] |
ME2021-33
pp.17-20 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
11:20 |
Tokyo |
Tokyo University of Technology (Tokyo)
(Cancelled) |
An Assessment of Feet Sensitivity for Musical Signal Vibration
-- Through Development of "foovi" as a Sound Media Transducer --
Yukiua Endo, Akinori Ito (TUT) |
In this study, we developed a music viewing device that uses the vibration sensation on the human foot as an extension o... [more] |
AIT2020-103
pp.181-184 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. (Tokyo) |
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 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. (Tokyo) |
Analysis of auditory characteristics of distorted music
Yuma Ono, Keiko Ochi, Yasunari Obuchi (Tokyo Univ. Tech.) |
Recent commercial trends for high sound pressure music brought about the modification of music so as to increase the sou... [more] |
AIT2019-147
pp.345-346 |
| AIT, IIEEJ, AS, CG-ARTS |
2018-03-16
10:45 |
Tokyo |
Tokyo University of Technology (Tokyo) |
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 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-15
15:45 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A Note on Estimation of Users' Emotion Evoked During Listening to Music
-- Performance Improvement Based on Deep Learning Method --
Hakusyou Dan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method that estimates users’ emotion evoked during listening to music. In our method, we use audio... [more] |
MMS2018-21 HI2018-21 ME2018-21 AIT2018-21
pp.201-206 |
| CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] |
2017-02-20
15:30 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
A note on estimation of users' emotion evoked during listening to music
-- Performance improvement base on fusion of multiple estimation results --
Boxiao Duan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper precent estimation of users' emotion evoked during listening to music. In our method, we focus on RUSBagging ... [more] |
MMS2017-44 CE2017-44 HI2017-44 ME2017-68 AIT2017-44
pp.349-354 |
| HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS [detail] |
2015-02-23
11:00 |
Hokkaido |
Hokudai (Hokkaido) |
A Note on Classification of Individual Favorite Musical Pieces Utilizing EEG Signals during Listening to Music
-- Performance Improvement via CCA Considering Class Information --
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a new method using individual EEG signals for improving his/her favorite music classification. Our p... [more] |
MMS2015-21 CE2015-21 HI2015-19 ME2015-19 AIT2015-19
pp.179-184 |
| HI |
2014-03-04
14:35 |
Tokyo |
Tokyo University of Agriculture and Technology (Tokyo) |
Analysis of brain activity during listening to music and expressing impression of them by drawing
Mayu Kakegawa (Grad. School of Bionics, Comp. and Media Sci.Tokyo univ. of Tech), Tetsuya Natori, Masayuki Kikuchi, Yuko Masakura, Tomoki Itamiya, Yukiko Nishino, Mitsuharu Ogiya, Koichi Sakao, Naoki Wakabayashi (Tokyo Univ. of Tech.) |
This study attempted to examined of brain activity during listening to music and expressing impression of them by drawin... [more] |
HI2014-34
pp.25-28 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-19
10:00 |
Hokkaido |
Hokkaido Univ. (Hokkaido) |
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 |