Exploiting genre for music emotion classification

Genre and emotion have been applied to content-based music retrieval and organization; however, the intrinsic correlation between them has not been explored. In this paper we present a statistical association analysis to examine such intrinsic correlation and propose a two-layer scheme that exploits the correlation for emotion classification. Significant improvement of classification accuracy over the traditional single-layer scheme is obtained.

• Type: Journal
• Year: 2009
• Where: ICMCS
• Authors: Yu-Ching Lin, Yi-Hsuan Yang, Homer H. Chen, I-Bin Liao, Yeh-Chin Ho
• Keywords: Content-based Music Retrieval, ICMCS 2009, Intrinsic Correlation, Multimedia, Traditional Single-layer Scheme