Classification on Audio MNIST
96.4AccuracyCNN
Evaluation results
| Method | Links | |
|---|---|---|
| CNN2026.03 | 96.4 | |
| LSTM2026.03 | 95.23 | |
| Reservoir-basedExperiment=Exp 1, Reservoir=2, Training and Testing Function=Matlab MFCC2026.03 | 93.08 | |
| AudioNet(Deep-NN)2026.03 | 92.53 | |
| MetaMAEPretrain data=LibriSpeech, Protocol=Linear evaluation2023.10 | 89.5 | |
| Reservoir-basedExperiment=Exp 2, Reservoir=1, 2, Training and Testing Function=Time domain MFCC2026.03 | 84.81 | |
| Liquid-SNN2026.03 | 82.65 | |
| e-MixPretrain data=LibriSpeech, Protocol=Linear evaluation2023.10 | 80.4 | |
| ShEDPretrain data=LibriSpeech, Protocol=Linear evaluation2023.10 | 67.3 | |
| CapriPretrain data=LibriSpeech, Protocol=Linear evaluation2023.10 | 53.6 | |
| MAEPretrain data=LibriSpeech, Protocol=Linear evaluation2023.10 | 45.1 | |
| BaselinePretrain data=LibriSpeech, Protocol=Linear evaluation2023.10 | 33.1 |