Sciweavers

Share
ICMCS
2008
IEEE

Music genre classification using novel features and a weighted voting method

9 years 4 months ago
Music genre classification using novel features and a weighted voting method
This paper proposes a novel music genre classification system based on two novel features and a weighted voting method. The proposed features, modulation spectral flatness measure (MSFM) and modulation spectral crest measure (MSCM) represent the time-varying behavior of music signals and indicate the strength of beat. The proposed weighted voting method determines a music genre by summarizing the classification results of consecutive time windows. Experimental results show that the proposed features and the weighted voting method improve the music genre classification system.
Dalwon Jang, Minho Jin, Chang D. Yoo
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICMCS
Authors Dalwon Jang, Minho Jin, Chang D. Yoo
Comments (0)
books