Abstract
In this paper, we present MusicMixer, a computer-aided DJ system that helps DJs, specifically with song mixing. Mu-sicMixer continuously mixes and plays songs using an automatic music mixing method that employs audio similarity calculations. By calculating similarities between song sections that can be naturally mixed, MusicMixer enables seamless song transitions. Though song mixing is the most fundamental and important factor in DJ performance, it is difficult for untrained people to seamlessly connect songs. Mu-sicMixer realizes automatic song mixing using an audio signal processing approach; therefore, users can perform DJ mixing simply by selecting a song from a list of songs suggested by the system, enabling effective DJ song mixing and lowering entry barriers for the inexperienced. We also propose personalization for song suggestions using a preference memorization function of MusicMixer.
| Original language | English |
|---|---|
| Title of host publication | ACE 2015 - 12th Advances in Computer Entertainment Technology Conference, Proceedings |
| Publisher | Association for Computing Machinery |
| Volume | 16-19-November-2015 |
| ISBN (Electronic) | 9781450338523 |
| DOIs | |
| Publication status | Published - 2015 Nov 16 |
| Externally published | Yes |
| Event | 12th Advances in Computer Entertainment Technology Conference, ACE 2015 - Iskandar, Malaysia Duration: 2015 Nov 16 → 2015 Nov 19 |
Other
| Other | 12th Advances in Computer Entertainment Technology Conference, ACE 2015 |
|---|---|
| Country | Malaysia |
| City | Iskandar |
| Period | 15/11/16 → 15/11/19 |
Fingerprint
Keywords
- Automatic song mixing
- Computer-aided DJ system
- Human-content interaction
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software
Cite this
MusicMixer : Computer-Aided DJ system based on an automatic song mixing. / Hirai, Tatsunori; Doi, Hironori; Morishima, Shigeo.
ACE 2015 - 12th Advances in Computer Entertainment Technology Conference, Proceedings. Vol. 16-19-November-2015 Association for Computing Machinery, 2015. 41.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - MusicMixer
T2 - Computer-Aided DJ system based on an automatic song mixing
AU - Hirai, Tatsunori
AU - Doi, Hironori
AU - Morishima, Shigeo
PY - 2015/11/16
Y1 - 2015/11/16
N2 - In this paper, we present MusicMixer, a computer-aided DJ system that helps DJs, specifically with song mixing. Mu-sicMixer continuously mixes and plays songs using an automatic music mixing method that employs audio similarity calculations. By calculating similarities between song sections that can be naturally mixed, MusicMixer enables seamless song transitions. Though song mixing is the most fundamental and important factor in DJ performance, it is difficult for untrained people to seamlessly connect songs. Mu-sicMixer realizes automatic song mixing using an audio signal processing approach; therefore, users can perform DJ mixing simply by selecting a song from a list of songs suggested by the system, enabling effective DJ song mixing and lowering entry barriers for the inexperienced. We also propose personalization for song suggestions using a preference memorization function of MusicMixer.
AB - In this paper, we present MusicMixer, a computer-aided DJ system that helps DJs, specifically with song mixing. Mu-sicMixer continuously mixes and plays songs using an automatic music mixing method that employs audio similarity calculations. By calculating similarities between song sections that can be naturally mixed, MusicMixer enables seamless song transitions. Though song mixing is the most fundamental and important factor in DJ performance, it is difficult for untrained people to seamlessly connect songs. Mu-sicMixer realizes automatic song mixing using an audio signal processing approach; therefore, users can perform DJ mixing simply by selecting a song from a list of songs suggested by the system, enabling effective DJ song mixing and lowering entry barriers for the inexperienced. We also propose personalization for song suggestions using a preference memorization function of MusicMixer.
KW - Automatic song mixing
KW - Computer-aided DJ system
KW - Human-content interaction
UR - http://www.scopus.com/inward/record.url?scp=84979742088&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979742088&partnerID=8YFLogxK
U2 - 10.1145/2832932.2832942
DO - 10.1145/2832932.2832942
M3 - Conference contribution
AN - SCOPUS:84979742088
VL - 16-19-November-2015
BT - ACE 2015 - 12th Advances in Computer Entertainment Technology Conference, Proceedings
PB - Association for Computing Machinery
ER -