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Intelligent Music Genre Classification using CNN


Author(s):

Dr Reeja S R , VIT-AP; Ishfaq Yaseen, Prince Sattam bin Abdul Aziz University Alkharaj, Saudi Arabia

Keywords:

Music Genres, Convolution Neural Network, Information Retrievals

Abstract:

In past years the classification of music genre is done various methods. The methodology used for the classification is deep learning and K neural networks. In this paper, we classify the music genre using convolution neural networks. In Music Information Retrieval (MIR), research will always be going on retrieving information from music and on building classifiers with better accuracy. In this paper, we are building a deep learning neural network models to perform a multi-class classification task of labelling music genres using Feed-forward and convolution Neural Network and compare them to see which offers a better accuracy. In our experimental results shows 87.4% accuracy by using GTZAN data set.


Other Details:

Manuscript Id :IJSTEV8I10003
Published in :Volume : 8, Issue : 10
Publication Date: 01/05/2022
Page(s): 7-12
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