Investigating relation of music data: Emotion and audio signals

Lee, J.; Jo, J.-H.; Lim, H.; Chae, J.-H.; Lee, S.-U.; Kim, D.-W.

doi:10.1007/978-3-662-45402-2_37

상세 보기

Investigating relation of music data: Emotion and audio signals

Lee, J.;
Jo, J.-H.;
Lim, H.;
Chae, J.-H.;
Lee, S.-U.;
... Kim, D.-W.

Citations

SCOPUS

4

초록

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.

키워드

Multi-label classification; Music emotion recognition; Classification (of information); Search engines; Audio signal; Feature selection algorithm; Multi-label classifications; Music data; Music emotions; Music information retrieval; Audio acoustics

제목: Investigating relation of music data: Emotion and audio signals

저자: Lee, J.; Jo, J.-H.; Lim, H.; Chae, J.-H.; Lee, S.-U.; Kim, D.-W.

DOI: 10.1007/978-3-662-45402-2_37

발행일: 2015

유형: Conference Paper

저널명: Lecture Notes in Electrical Engineering

권: 330

페이지: 251 ~ 256

언어: ENG

출판사: Springer Verlag

발행국가: 독일

분량: 6 페이지

ISSN: E 1876-1119
P 1876-1100