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Table 1 Performance parameters of proposed algorithm on GTZAN dataset

From: Novel mathematical model for the classification of music and rhythmic genre using deep neural network

 

Accuracy

Precision (%)

Recall (%)

F1-score (%)

Proposed system

99.41%

96.90

97.10

97.10

 BiLSTM [43]

97.80%

88

94

78

 4 Layers-2D CNN with Data Augmentation [44]

81.55

83.50

89.01

86.17

 RCNN with Data Augmentation [44]

69.49 

97.94

88.04

92.7