Title: Practice of college music intangible cultural heritage based on clustering improved distance beat tracking algorithm

Authors: Xiaolei Liu

Addresses: School of Art, East China University of Technology, Nanchang, 330000, China

Abstract: The survival, inheritance, and development of intangible cultural heritage of music face serious challenges. Traditional point-to-point inheritance has limitations and is likely to lead to cultural loss. It is crucial to introduce music intangible cultural heritage into university classrooms and innovate music creation forms based on youth groups. The study employs pulse coding modulation encoding and end-point intensity curve extraction to achieve beat tracking through a maximum and minimum distance clustering method of BPM features in signal time and frequency domain analysis. An improved musical beat tracking model is created based on clustering. Experimental results showed that the model accurately tracked the musical beat (average P-Score = 61.719, Cemgil = 48.640, CMLc = 20.174, AML t = 49.862). This research model is significant for protecting music intangible cultural heritage. This study explores the practical application of the distance beat tracking algorithm based on cluster improvement to introduce music intangible cultural heritage into college classes. The study provides effective methods and ideas for the inheritance and protection of music intangible cultural heritage, and contributes to the innovation of teaching modes in college music classes. The findings have significant implications for the protection of music intangible cultural heritage.

Keywords: protection of intangible cultural heritage; BPM; clustering method; music class.

DOI: 10.1504/IJWET.2024.143359

International Journal of Web Engineering and Technology, 2024 Vol.19 No.4, pp.379 - 396

Received: 11 Oct 2023
Accepted: 22 Apr 2024
Published online: 16 Dec 2024 *

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