Research Article
Acoustic Scene Classification and Visualization of Beehive Sounds Using Machine Learning Algorithms and Grad-CAM
Table 3
Performance comparison of different features using various CNNs.
| CNN | Features | Learning rate | Batch size | Accuracy (%) |
| Shallow CNN | Mel spectrogram | 1e-4 | 128 | 79.82 | 1e-5 | 64 | 79.94 | 1e-5 | 128 | 79.30 | MFCCs | 1e-4 | 128 | 88.42 | 1e-5 | 64 | 88.04 | 1e-5 | 128 | 87.89 | CQT | 1e-4 | 128 | 80.70 | 1e-5 | 64 | 79.12 | 1e-5 | 128 | 79.47 |
| VGG-13 | Mel spectrogram | 1e-4 | 128 | 84.91 | 1e-5 | 64 | 80.58 | 1e-5 | 128 | 91.10 | MFCCs | 1e-4 | 128 | 90.88 | 1e-5 | 64 | 91.93 | 1e-5 | 128 | 91.75 | CQT | 1e-4 | 128 | 85.09 | 1e-5 | 64 | 80.88 | 1e-5 | 128 | 80.35 |
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