Research Article
[Retracted] Use Brain-Like Audio Features to Improve Speech Recognition Performance
Table 1
Comparison with other models in terms of feature extraction method, classification model, and accuracy in the same task.
| Method | Features | Classification method | Accuracy |
| Tavanaei and Maida [26] | | SVM | 91% | Watt and Kostylev [27] | MFCC | | 97.5% | Zada and Ullah [28] | MFCC | CNN | 84.17% | Rakshith et al. [7] | MFCC | VQ | 93% | Proposed method | Spike map | Speech recognition network (CRNN) | 93.43% | | SHH | CRNN | 94.8% |
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