Analysis of Chinese traditional opera based on the Western music genre classification methods

At a time of rapid development of Internet technology, AI capabilities are gradually penetrating into the audio field. Although the study of traditional music has a long history, the mainstream music research is currently limited to Western classical music. But besides Western music, there is other traditional classical music, Chinese opera is a representative of traditional music, and it is one of the six traditional music genres. Cantonese opera is an important part of the Chinese opera atlas. It is one of the few local operas included in the World Intangible Cultural Heritage among the more than 360 kinds of Chinese operas, so the operas processed in this experiment are all Cantonese opera excerpts. A total of 1000 audios from Cantonese Opera Dataset and G TZAN Dataset are collected and processed in this experiment, and the classification methods of western traditional music are applied to analyze Chinese operas. A music classification network based on deep learning is designed and implemented in which the most classical methods in music classification are used to conduct some research on Cantonese opera. Finally, the connections and differences between Chinese opera and western music are analyzed and obtained.