Application of Big Data Analysis Technology in Music Style Recognition and Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38651-0_37
Reference12 articles.
1. Y.H. Chin, Y.Z. Hsieh, M.C. Su et al., Music emotion recognition using PSO-based fuzzy hyper-rectangular composite neural networks. IET Signal Proc. 11(7), 884–891 (2017)
2. Y. Dong, X. Yang, X. Zhao et al., Bidirectional convolutional recurrent sparse network (BCRSN): an efficient model for music emotion recognition. IEEE Trans. Multimedia 21(12), 3150–3163 (2019)
3. M. Mueller, A. Arzt, S. Balke et al., Cross-modal music retrieval and applications: an overview of key methodologies. IEEE Signal Process. Mag. 36(1), 52–62 (2018)
4. J. Kocinski, E. Ozimek, Logatome and sentence recognition related to acoustic parameters of enclosures. Arch. Acoust. 42(3), 385–394 (2017)
5. R. Jenke, A. Peer, M. Buss, Feature extraction and selection for emotion recognition from EEG. IEEE Trans. Affect. Comput. 5(3), 327–339 (2017)
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