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ASME Press Select Proceedings
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
By
ISBN:
9780791859810
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
18 A Novel Framework for Music Style Classification by Using Naïve Bayesian Network
By
Jian Luo
,
Jian Luo
School of Computer Science China West Normal University
, Nanchong Sichuan
, China
; luojianz@gmail.com
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Yan-Mei Li
,
Yan-Mei Li
School of Computer Science China West Normal University
, Nanchong Sichuan
, China
; liyanmeif@gmail.com
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Xian-Bohe He
,
Xian-Bohe He
School of Computer Science China West Normal University
, Nanchong Sichuan
, China
; hexianbo_sctc@163.com
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Gang-Yuan Zhang
Gang-Yuan Zhang
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Page Count:
5
-
Published:2011
Citation
Luo, J, Li, Y, He, X, Li, M, & Zhang, G. "A Novel Framework for Music Style Classification by Using Naïve Bayesian Network." International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3. Ed. Xie, Y. ASME Press, 2011.
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Music style classification becomes more and more application in commercial audiencerecommendation. But any simple and efficient method has not been found for solving the great deal of music online. In this paper we developed a framework based on Naive Bayesian Network (NBN) to perform music style classification. We acquired such important features after deeply studying, and construct our specific NBN for music style classification. The results of the experiments in our method indicated that the simplicity and accuracy of music style classification improved greatly.
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