Audio Classification On Speech Commands 1
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | Accuracy |
---|---|
efficientleaf-a-faster-learnable-audio | 95.1 |
efficientleaf-a-faster-learnable-audio | 95.2 |
ast-audio-spectrogram-transformer | 98.11±0.05 |
efficientleaf-a-faster-learnable-audio | 95.1 |
mixer-is-more-than-just-a-model | 96.51 |
polynomial-networks-in-deep-classifiers | 97.8 |
eat-self-supervised-pre-training-with | 98.3±0.04 |