Table 6 Evaluation of Indian music genre per class on the proposed model
Precision | Recall | F1-Score | Accuracy | |
|---|---|---|---|---|
IMG dataset | ||||
Bollypop | 97% | 96% | 97% | 98.73% |
Carnatic | 96% | 99% | 98% | 99.16% |
Ghazal | 96% | 96% | 96% | 98.41% |
Semiclassical | 99% | 97% | 98% | 99.20% |
Sufi | 98% | 98% | 98% | 99.16% |
HMR dataset | ||||
Ektaal | 92.35% | 84% | 91% | 88% |
Rupak | 94.54% | 90% | 90% | 90% |
Teentaal | 93.44% | 89% | 89% | 89% |
Zaptaal | 93.44% | 79% | 65% | 71% |
Tabala dataset | ||||
Addhatritaal | 0.96 | 0.97 | 0.97 | 99.11 |
Bhajani | 0.96 | 0.97 | 0.97 | 99.11 |
Deepchandi | 0.98 | 1.0 | 0.99 | 99.82 |
Dadra | 0.94 | 0.99 | 0.96 | 99.11 |
Rupak | 0.98 | 0.95 | 0.97 | 99.29 |
Zaptaal | 0.97 | 0.95 | 0.96 | 99.11 |
Ektaal | 0.97 | 0.94 | 0.95 | 98.93 |
Tritaal | 0.98 | 0.97 | 0.97 | 99.11 |