Table 3 Accuracy for various network models trained and tested using FMA dataset
From: Comparative study of singing voice detection based on deep neural networks and ensemble learning
Network model | Average accuracy (10 trials) (%) |
|---|---|
MCNN | 83.7 |
SCNN | 88.2 |
SLSTM | 84.3 |
CLSTM | 85.8 |
Capsule net | 74.9 |