Exploiting genre for music emotion classification

Authors:
Yu-Ching Lin;Yi-Hsuan Yang;Homer H. Chen;I-Bin Liao;Yeh-Chin Ho
Affiliations:
National Taiwan University;National Taiwan University;National Taiwan University;Telecommunication Laboratories, Chunghwa Telecom;Telecommunication Laboratories, Chunghwa Telecom
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 3
Cited 2

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MARSYAS: a framework for audio analysis

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Machine Recognition of Music Emotion: A Review

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Parametrisation and correlation analysis applied to music mood classification

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Abstract

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.