2018 IEEE Symposium on Computer Applications &Amp; Industrial Electronics (ISCAIE) 2018
DOI: 10.1109/iscaie.2018.8405505
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Novel hybrid model for music genre classification based on support vector machine

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Cited by 13 publications
(1 citation statement)
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“…In recent years, several methods have been presented for automatic recognition of music styles. Initially, the recognition process was based on basic learning models such as decision tree [ 5 ], support vector machine (SVM) [ 6 ] and artificial neural networks (ANNs) [ 7 ]. Subsequently, when deep learning techniques were more widely used and models based on these techniques proved very effective in solving many problems, the number of approaches proposed for identifying musical genres using deep learning models grew, leading to greater popularity.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, several methods have been presented for automatic recognition of music styles. Initially, the recognition process was based on basic learning models such as decision tree [ 5 ], support vector machine (SVM) [ 6 ] and artificial neural networks (ANNs) [ 7 ]. Subsequently, when deep learning techniques were more widely used and models based on these techniques proved very effective in solving many problems, the number of approaches proposed for identifying musical genres using deep learning models grew, leading to greater popularity.…”
Section: Introductionmentioning
confidence: 99%