Research Article
Sound Classification Based on Multihead Attention and Support Vector Machine
Table 4
Comparison of the classification accuracy with six methods on UrbanSound8K.
| Methods | Preprocessing | Accuracy (%) |
| DenseNet [28] | MFCC + GFCC | 85.1 | MelNet [29] | Mel-spectrogram | 92.2 | GoogleNet [30] | Mel-spectrogram | 93.0 | RawNet [29] | Wav | 87.0 | 1D CNN [31] | Wav | 89.1 | MhaNN-SVM | Mel-spectrogram | 94.6 |
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