Intelligent retrieval method of folk music database based on semantic feature fusion

Wenqi Wang
music and dance college, Zhuhai College of Science and Technology, Zhuhai 519000, Guangdong, China

Abstract:

In order to improve the efficiency and quality of folk music database retrieval, this study designed an intelligent retrieval method of folk music database based on semantic feature fusion. On the basis of analyzing the construction process of a folk music database, the characteristics and problems in the construction process of folk music database are analyzed. Then the identification of the multi-parameters of folk music is completed by concretizing the abstract space of folk music, identifying and synthesizing the melody features of folk music. Based on this, the module of extracting semantic features of ethnic music is designed to understand and process ethnic music data information through semantic features, and the semantic feature query and expansion technology is designed. Finally, an AI retrieval model is constructed based on semantic understanding based on the fusion ranking of semantic features of folk music. Experimental results show that the retrieval efficiency and accuracy of this method are both high.