A Hybrid CNN and RNN Variant Model for Music Classification
A Hybrid CNN and RNN Variant Model for Music Classification
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy. Many methods have utilized handcrafted features to identify unique patterns but are still unable to determine the original music characteristics. Comparatively,...
Alternative Titles
Full title
A Hybrid CNN and RNN Variant Model for Music Classification
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b607c8cc97ac4253968ca40f36c15775
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b607c8cc97ac4253968ca40f36c15775
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app13031476
