A Hybrid Parallel Computing Architecture Based on CNN and Transformer for Music Genre Classification
A Hybrid Parallel Computing Architecture Based on CNN and Transformer for Music Genre Classification
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Music genre classification (MGC) is the basis for the efficient organization, retrieval, and recommendation of music resources, so it has important research value. Convolutional neural networks (CNNs) have been widely used in MGC and achieved excellent results. However, CNNs cannot model global features well due to the influence of the local recept...
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A Hybrid Parallel Computing Architecture Based on CNN and Transformer for Music Genre Classification
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TN_cdi_proquest_journals_3097931208
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3097931208
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics13163313
