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1 Ergebnisse
1
Evaluating Machine Learning Models for Musical Style Catego..:
, In:
2024 10th International Conference on Communication and Signal Processing (ICCSP)
,
Rame, Nikhila
;
Dharani, Yakkala
;
Lasya, P
.. - p. 469-474 , 2024
Link:
https://doi.org/10.1109/ICCSP60870.2024.10543477
RT T1 <cTitle>2024 10th International Conference on Communication and Signal Processing (ICCSP)</cTitle>: T1 <Title>Evaluating Machine Learning Models for Musical Style Categorization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10543477&Exemplar=1&LAN=DE A1 Rame, Nikhila A1 Dharani, Yakkala A1 Lasya, P A1 Satwik, Vunukonda A1 Gunavardhan, Maddala YR 2024 SN 2836-1873 K1 Support vector machines K1 Training K1 Analytical models K1 Signal processing algorithms K1 Music K1 Feature extraction K1 Vectors K1 Music Genre Classification K1 Machine Learning Algorithms K1 K-Nearest Neighbors (KNN) K1 Random Forest K1 Support Vector Machine (SVM) K1 Feature Extraction K1 Limbic System Activation K1 Dopamine K1 Cultural Traditions K1 Emotional Content K1 Musical Exploration SP 469 OP 474 LK http://dx.doi.org/https://doi.org/10.1109/ICCSP60870.2024.10543477 DO https://doi.org/10.1109/ICCSP60870.2024.10543477 SF ELIB - SuUB Bremen
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