Performance comparison between QPSO and PSO.

Performance comparison between QPSO and PSO.

<div><p>This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. Th...

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Bibliographic Details
Main Author: Yuhang Zhang (3144870) (author)
Other Authors: Xiaofeng Wu (288608) (author), Jiawei Xu (394968) (author), Zihao Ning (20485484) (author), Xiao Han (102316) (author)
Published: 2025
Subjects:
Science Policy
Plant Biology
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
traditional rhythmic norms
time series data
surpassing traditional methods
simulation results reveal
identifying various styles
tonal transition redundancies
manage data uncertainties
classifying vocal styles
means </ p
improving classification accuracy
clustering tonal trends
chinese yue opera
yue opera
tonal ranges
eliminate uncertainties
vocal patterns
vocal melodies
clustering method
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thereby enhancing
study develops
musical tones
linear interpolation
interdisciplinary research
innovative method
fuzzy c
findings enhance
correlation function
convergence speed
artistic creation
approach achieves
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