| Benchmark | Model | Rank | Results |
|---|---|---|---|
| audio-classification-on-audioset | EAT | #15 | Test mAP: 0.486 |
| audio-classification-on-balanced-audio-set | EAT | #3 | Mean AP: 40.3 |
| audio-classification-on-esc-50 | EAT | #11 | Top-1 Accuracy: 96.0PRE-TRAINING DATASET: AudioSet… |
| audio-classification-on-speech-commands | EAT | #1 | Accuracy: 98.3±0.04 |