The Integration Strategy of Vocal Music Teaching and Traditional Music Culture in Colleges and Universities under the Background of Big Data Informatisation

被引:0
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作者
Shi H. [1 ]
机构
[1] College of Vocal Opera, Department of Opera, Sichuan Conservatory of Music, Sichuan, Chengdu
关键词
Big data module; College vocal music teaching; Deep learning; RBF algorithm; Traditional music culture;
D O I
10.2478/amns.2023.2.00967
中图分类号
学科分类号
摘要
This paper first determines the emotional, melodic, and structural characteristics through non-negative matrix decomposition and graph network theory to enhance students' cognition and understanding of traditional music culture and to pass on and carry forward traditional music culture. Utilizing the RBF algorithm to integrate the elements of traditional music culture characteristics into efficient music teaching, forming a one-piece interactive teaching method. Utilizing the large database module for teaching and deep learning of learners can create a good college vocal music teaching loop. The student interest rate in traditional instrumental music teaching classes under the proposed method is increased to 98.98%, providing a solid foundation for integrating college vocal music teaching and traditional music culture. © 2023 Hongqiang Shi, published by Sciendo.
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