Deep learning based music genre classification algorithm

Author:

Tang Heming1ORCID,You Fucheng1ORCID,Liu Yuqin2ORCID

Affiliation:

1. College of Information Engineering, Beijing Institute of Graphic Communication, China

2. School of Publishing, Beijing Institute of Graphic Communication, China

Publisher

ACM

Reference14 articles.

1. International Federation of the Phonographic Industry.IFPI Global Music Report 2019 [EB/OL]. https://www.ifpi.org/news/IFPI-GLOBAL-MUSIC-REPORT-2019 , 2019 International Federation of the Phonographic Industry.IFPI Global Music Report 2019 [EB/OL]. https://www.ifpi.org/news/IFPI-GLOBAL-MUSIC-REPORT-2019, 2019

2. Lakomkin E , Zamani M A , Weber C , Emorl : Continuous acoustic emotion classification using deep reinforcement learning [C]∥ 2018 IEEE International Conferenceon Roboticsand Automation . Brisbane, Australia : IEEE , 2018: 4445-4450. Lakomkin E, Zamani M A, Weber C, Emorl: Continuous acoustic emotion classification using deep reinforcement learning [C]∥2018 IEEE International Conferenceon Roboticsand Automation. Brisbane, Australia: IEEE, 2018: 4445-4450.

3. Wen J. Research on music classification based on SVM-HMM hybrid model [D] . Zhongshan University , 2005 . Wen J. Research on music classification based on SVM-HMM hybrid model [D]. Zhongshan University, 2005.

4. Boser B E , Guyon I M , Vapnik V N . A training algorithm for optimal margin classifiers[A] . Proceedings of the fifth annual workshop on Computational learning theory [C]. 1992: 144-152 . Boser B E, Guyon I M, Vapnik V N. A training algorithm for optimal margin classifiers[A]. Proceedings of the fifth annual workshop on Computational learning theory [C]. 1992: 144-152.

5. Yang Y H , Liu C C , Chen H H . Music emotion classification: A fuzzy approach[A] . Proceedings of the 14th ACM international conference on Multimedia[C]. 2006: 81-84 . Yang Y H, Liu C C, Chen H H. Music emotion classification: A fuzzy approach[A]. Proceedings of the 14th ACM international conference on Multimedia[C]. 2006: 81-84.

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