A STUDY ON CHINESE TRADITIONAL OPERA

摘要：

In this paper, we have presented a study on content-based classification and similarity analysis among 8 typical genres of Chinese traditional opera. Acoustic features are extracted and different classifiers are evaluated, the results show that the quadratic classifier works best, its average classification accuracy can achieve 82.4％. After the similarity analysis, some interesting conclusions are also reported. The results of similarity analysis and automatic classification experiments among these 8 typical genres are coincident with each other. They are also coincident with our general knowledge of Chinese traditional opera.

关键词： Chinese traditional opera Automatic classification Similarity analysis Audio processing

作者: YI-BIN ZHANG JIE ZHOU XIA WANG

作者单位: Nokia Research Center, Beijing 100176, China Department of automation, Tsinghua University, Beijing 100084, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2476-2480

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）