Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

March 17, 2025


Pages


DOI

Article

Research on the Path of Traditional Music Education Inheritance Innovation and Aesthetic Experience Enhancement Supported by Information Technology

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Authors

Ning Li Affiliation:
Educational and Scientific School, Zhengzhou Normal University, Zhengzhou, Henan, 450000, China.


Abstract

Chinese traditional music is a product of the development of national music culture in the long history, condensing the spiritual civilization achievements of the Chinese people. The study proposes a sight-singing and ear-training learning aid system to innovate the inheritance method of traditional music. Meanwhile, drawing on the harmonic peak method and SHS algorithm, the pitch extraction algorithm of MF-SHS is proposed to extract traditional music features, and the DTW algorithm is improved. The experimental results were then analyzed using the MF-SHS-based pitch extraction algorithm and the DTW algorithm. Firstly, the matching effect of music is analyzed using the auxiliary system; secondly, music features are extracted using the MIF-SHS technique; and finally, the auxiliary system is applied to the actual effect. The results show that the sight-singing and ear-training learning aid system proposed in this paper has good music matching effect, and the total F-measure value for 8 pieces of music also reaches 0.93428, which is a good detection effect.


Keywords

Traditional music, Music feature extraction, Learning aid system, DTW algorithm, 97B20


Citation

Li, N. (2025). Research on the path of traditional music education inheritance innovation and aesthetic experience enhancement supported by information technology. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0272

Published by: Engineering Journals

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