| Benchmark | Model | Rank | Results |
|---|---|---|---|
| audio-classification-on-audioset | ERANN-1-6 | – | Test mAP: 0.450AUC: 0.976d-prime: 2.804 |
| audio-classification-on-esc-50 | ERANN-2-5 | – | Top-1 Accuracy: 96.1PRE-TRAINING DATASET: AudioSet… |
| audio-tagging-on-audioset | ERANN-1-6 | – | mean average precision: 0.450 |
| emotion-recognition-on-ravdess | ERANN-0-4 | – | Accuracy: 74.8 |