Audio Classification On Speech Commands 1
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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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