A Study of Evolutionary Trends of Classical Music Works Based on Data Mining

Publié en ligne: 18 nov. 2024

Reçu: 23 juin 2024

Accepté: 12 oct. 2024

DOI: https://doi.org/10.2478/amns-2024-3318

Mots clés

<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.