Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

November 27, 2024


Pages


DOI

Article

Spectral modelling of suona sound characteristics in Shanxi Jin opera music

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Authors

Geng Chen Affiliation:
Shanxi College of Applied Science and Technology, Taiyuan, Shanxi, 030062, China.


Abstract

Shanxi Jin Opera music has become more and more mature in recent years, and the objective measurement of the suona instrument has a very important influence on the combination pattern of instruments in the music. In this paper, we use the pre-emphasis and frame-window methods to preprocess the digitized sound signals of Shanxi Jin Opera and then extract the onset and period of the fundamental in the sound signals based on the short-time autocorrelation function. Subsequently, the excitation source-filter model is used to design the spectral analysis model of sound features, and the MFCC method is used to extract the sound features of a sample and obtain its spectral analysis results. The spectral analysis model proposed in this paper is highly accurate and can be used for subsequent empirical analysis, as shown by the study. The results of the empirical spectral analysis found that the D tone of suona in Shanxi Jin Opera music has a higher deviation, the acoustics of the fundamental tone are lower, and the fundamental frequency and pitch of the D tone are 574.01 HZ and D5-10, respectively. In addition, the #F tone of suona is sustainable, can be excited quickly and vibrates uniformly, and the stability of the tone is also more excellent. This paper provides objective measurement tools and data for the analysis of the suona spectrum in the music of the Shanxi Jin Opera, which provides an effective reference for relevant composers and musicologists.


Keywords

Framing and windowing, Autocorrelation function, Feature extraction, Suona sound, Spectral analysis., 68T05


Citation

Chen, G. (2024). Spectral modelling of suona sound characteristics in shanxi jin opera music. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3582
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