Audio Classification On Speech Commands 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| melspect | 95.1 | EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use | |
| EfficientLEAF | 95.2 | EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use | |
| AST-S | 98.11±0.05 | AST: Audio Spectrogram Transformer | |
| LEAF | 95.1 | EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use | |
| ASM-RH | 96.51 | Mixer is more than just a model | - |
| PDC | 97.8 | Augmenting Deep Classifiers with Polynomial Neural Networks | |
| EAT | 98.3±0.04 | EAT: Self-Supervised Pre-Training with Efficient Audio Transformer |
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