Research Article
Sound Classification Based on Multihead Attention and Support Vector Machine
Table 7
Comparison of the classification accuracy with six methods on GTZAN.
| | Methods | Preprocessing | Accuracy (%) |
| | Hybrid model [32] | MFCC, SSD, etc. | 88.3 | | CVAF [33] | Mel-spectrogram, SSD, etc | 90.9 | | Transfer learning [16] | MFCC | 89.8 | | AuDeep [34] | Mel-spectrogram | 85.4 | | BBNN [35] | Mel-spectrogram | 93.3 | | MhaNN-SVM | Mel-spectrogram | 88.4 |
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