Research Article
Speaker Gender Recognition Based on Deep Neural Networks and ResNet50
Table 3
The classification performance on the test set for different models.
| Features | Model | Accuracy (%) |
| MFCC, Mel spectrogram, Chroma STFT, Tonnetz, special contrast | Designed DNN | 95.97 | MLP | 95.81 | neighbor classifier | 95.10 | Random forest classifier | 94.23 | SVC RBF kernel | 93.92 | SVC | 91.63 | Ada boost classifier | 90.13 | Decision tree classifier | 88.70 | Quadratic discriminant analysis | 77.33 | Gaussian NB | 72.27 |
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