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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A Study of Evolutionary Trends of Classical Music Works Based on Data Mining
Yeye Li
Yeye Li
College of Music, Sichuan University of Light Chemical Technology
Zigong, China
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Li, Yeye
Nov 18, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 18, 2024
Received:
Jun 23, 2024
Accepted:
Oct 12, 2024
DOI:
https://doi.org/10.2478/amns-2024-3318
Keywords
<kwd>PCP features</kwd>
,
<kwd>MFCC algorithm</kwd>
,
<kwd>Bidirectional LSTM</kwd>
,
<kwd>Self-attention mechanism</kwd>
,
<kwd>Classical music works</kwd>
© 2024 Yeye Li., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
