ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition
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Tasks
Emotion RecognitionAudio ClassificationAudio TaggingEmotion ClassificationResults from the Paper
| Rank | Task | Dataset | Model | Metrics |
|---|---|---|---|---|
| #6 | Emotion Recognition | RAVDESS | ERANN-0-4 | Accuracy: 74.8 |
| #13 | Audio Classification | ESC-50 | ERANN-2-5 | Accuracy (5-fold): 96.1 · PRE-TRAINING DATASET: AudioSet · Top-1 Accuracy: 96.1 |
| #2 | Audio Classification | RAVDESS | ERANN-0-4 | Top-1 Accuracy: 74.8 |
| #38 | Audio Classification | AudioSet | ERANN-1-6 | AUC: 0.976 · Test mAP: 0.450 · d-prime: 2.804 |
| #10 | Audio Tagging | AudioSet | ERANN-1-6 | mean average precision: 0.450 |
| #1 | Emotion Classification | RAVDESS | ERANN-0-4 | Top-1 Accuracy: 74.8 |
| #1 | Emotion Classification | RAVDESS | ERANN-0-4 | Top-1 Accuracy: 74.8 |
| #1 | Emotion Classification | RAVDESS | ERANN-0-4 | Top-1 Accuracy: 74.8 |
| Audio Classification | ESC-50 | ERANN-2-5 | Accuracy (5-fold): 96.1 · PRE-TRAINING DATASET: AudioSet · Top-1 Accuracy: 96.1 | |
| Audio Classification | RAVDESS | ERANN-0-4 | Top-1 Accuracy: 74.8 | |
| Audio Classification | AudioSet | ERANN-1-6 | AUC: 0.976 · Test mAP: 0.450 · d-prime: 2.804 |
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