Research Article
A Two-Level Sound Classification Platform for Environmental Monitoring
Table 4
Summary of classification performance of neural network with selected features: second-level classification, two-step implementation.
| | Scalar features | MFCCs | Spectrogram coefficients | Scalar features + MFCCs | Scalar features + spectrogram coefficients | MFCCs + spectrogram coefficients | Scalar features + MFCCs + spectrogram coefficients |
| Average correct classifications | 94.33% | 87.80% | 80.69% | 96.73% | 94.27% | 86.99% | 94.27% | Standard deviation of correct classifications | 14.98% | 11.12% | 27.56% | 16.96% | 19.64% | 26.92% | 19.94% | Number of features/hidden layer nodes | 12/18/18 | 26/42/40 | 64/85/100 | 38/40/70 | 76/75/140 | 90/65/135 | 102/140/150 |
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