Kan L. Research on the Sustainability of Traditional Music and the Adaptability of Ecological Environment.
JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2022;
2022:2724635. [PMID:
36193403 PMCID:
PMC9526587 DOI:
10.1155/2022/2724635]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 08/03/2022] [Accepted: 08/10/2022] [Indexed: 11/23/2022]
Abstract
Under the new situation, the world is showing a trend of becoming more and more open, and the frequency of cultural exchanges in China is also accelerating. In this case, traditional music has been impacted to a certain extent, which also affects the sustainable use of traditional music. This is the general law of cultural development, and the impact is also accompanied by vitality. The analysis of the sustainability of traditional music and the adaptability of the ecological environment, how to accurately improve the matching results will directly affect the accuracy of the analysis of the sustainability of traditional music and the adaptability of the ecological environment. This study proposes an adaptive analysis method for the sustainability and ecological environment of traditional music. While analyzing the characteristics of traditional music in detail, the important characteristics of other types of music have also been fully considered. In this study, the adaptive evaluation method is used to obtain the optimal dynamic evaluation parameters. At the same time, the dynamic amplitude difference step size is set, and the adaptability analysis is performed according to the change threshold to improve the accuracy of the adaptability analysis of sustainability and the ecological environment. The adaptive evaluation method is used to limit the weight of lyrics and the semantic information of music. Finally, the experimental analysis shows that the traditional adaptive evaluation method and the algorithm of this study are experimentally tested. Adding adaptive evaluation methods further improves the accuracy of evaluation.
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