Integration of Runge-Kutta 6(5) Numerical Methods in Modelling Acoustic Patterns of Yi Tribe Funeral Music in China

This study investigates the integration of Runge-Kutta 6(5) numerical methods to model the acoustic patterns of Yi tribe funeral music in Liangshan, China. By analysing the temporal and spectral characteristics of mourning songs, the research employs high-order numerical techniques to simulate the dynamic evolution of pitch, rhythm, and timbre. Combining ethnomusicological fieldwork with computational modelling, the study captures the cultural nuances embedded in the music. Results show that the Runge-Kutta 6(5) method effectively reproduces complex acoustic structures, providing insights into the preservation and digital reconstruction of Yi musical heritage. This approach bridges traditional musicology with advanced mathematical modelling, offering a novel framework for cultural analysis. The findings contribute to the discourse on applying computational methods to intangible cultural heritage.

Publication Details

Journal
Academic Journal of Humanities & Social Sciences
Published
2025-01-01
DOI
https://doi.org/10.25236/ajhss.2025.080707
Primary Topic
Music History and Culture
Type
article
Field-Weighted Citation Impact
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article

Integration of Runge-Kutta 6(5) Numerical Methods in Modelling Acoustic Patterns of Yi Tribe Funeral Music in China

Academic Journal of Humanities & Social Sciences
Music History and Culture
article

Integration of Runge-Kutta 6(5) Numerical Methods in Modelling Acoustic Patterns of Yi Tribe Funeral Music in China

article en

Abstract

This study investigates the integration of Runge-Kutta 6(5) numerical methods to model the acoustic patterns of Yi tribe funeral music in Liangshan, China. By analysing the temporal and spectral characteristics of mourning songs, the research employs high-order numerical techniques to simulate the dynamic evolution of pitch, rhythm, and timbre. Combining ethnomusicological fieldwork with computational modelling, the study captures the cultural nuances embedded in the music. Results show that the Runge-Kutta 6(5) method effectively reproduces complex acoustic structures, providing insights into the preservation and digital reconstruction of Yi musical heritage. This approach bridges traditional musicology with advanced mathematical modelling, offering a novel framework for cultural analysis. The findings contribute to the discourse on applying computational methods to intangible cultural heritage.

Academic Journal of Humanities & Social SciencesVol. 8(7)
Openalex Percentile: Top 75%
Music History and Culture
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