| audio-classification-on-audio-set | M2D-AS/0.7 | #1 | Mean AP: 48.5 |
| speaker-identification-on-voxceleb1 | MSM-MAE | #1 | Top-1 (%): 96.6Accuracy: 96.6 |
| speaker-identification-on-voxceleb1 | M2D/0.6 | #2 | Top-1 (%): 96.5Accuracy: 96.5 |
| speaker-identification-on-voxceleb1 | M2D/0.7 | #3 | Top-1 (%): 96.3Accuracy: 96.3 |
| audio-classification-on-icbhi | M2D-X/0.7 (η=0.3) | #7 | ICBHI Score: 63.29 |
| audio-classification-on-icbhi | M2D/0.7 (e=0.3) | #9 | ICBHI Score: 62.73 |
| audio-classification-on-esc-50 | M2D-AS/0.7 | #8 | Top-1 Accuracy: 97.2PRE-TRAINING DATASET: AudioSet… |
| audio-classification-on-esc-50 | M2D/0.7 | #14 | Top-1 Accuracy: 96.0Accuracy (5-fold): 96.0 |
| audio-classification-on-audioset | M2D-AS/0.7 | #20 | Test mAP: 0.485 |
| audio-classification-on-audioset | M2D/0.7 | #25 | Test mAP: 0.479 |