The Analysis of Mood Taxonomy Comparision between Chinese and Western Music

摘要：

Automatic discrimination of music mood is one important field of MIR. Considering the difference of Chinese traditional m usic and Western classical m usic, it is necessary to study these two kinds of musics mood taxonomy. In this paper, the mood taxonomy models of Chinese traditional music and Western classical music are implemented, and then three content feature sets are extracted directly from the waveform audio clips. Finally, music clips are classified by three feature sets and their combination using Bayesian network classifier. The experiment results indicate that the detection rate of Chinese traditional music mood taxonomy is lower than that of Western classical music mood taxonomy no matter using single feature set or their combinations, th at is to say the contribution of different feature set to music mood taxonomy is different, and the detection rate improves obviously when combining three feature sets both for Chinese traditional music and Western classical music.

关键词： mood taxonomy feature extraction MIR

作者: Zhijun Zhao Lingyun Xie Jing Liu Wen Wu

作者单位: Communication Acoustics Laboratory Communication University of China Beijing, China Music Department Tulane University New Orleans, USA

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 606-610

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）