Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Investigating relation of music data: Emotion and audio signals
- Authors
- Lee, J.; Jo, J.-H.; Lim, H.; Chae, J.-H.; Lee, S.-U.; Kim, D.-W.
- Issue Date
- 2015
- Publisher
- Springer Verlag
- Keywords
- Multi-label classification; Music emotion recognition
- Citation
- Lecture Notes in Electrical Engineering, v.330, pp 251 - 256
- Pages
- 6
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 330
- Start Page
- 251
- End Page
- 256
- ISSN
- 1876-1100
1876-1119
- Abstract
- Music emotion recognition is one of the best attractive researches in music information retrieval. To develop an efficient music information retrieval system, a music data set related to music emotion is required. In this paper, we released two music emotion data sets, and proposed a feature selection algorithm that can be useful to investigate the relation between musical property and multiple emotions. © Springer-Verlag Berlin Heidelberg 2015.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.