Validation Timing Detection on TESC (val)
47.96Validation Precisionparalinguistic and emotion-aware model
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| paralinguistic and emotion-aware model2026.03 | 47.96 | 54.34 | 70.41 | 62.37 | |
| ModernBERT2026.03 | 41.32 | 44.65 | 68.65 | 56.65 | |
| GPT 4.1 NanoIn-context learning=Zero-shot2026.03 | 39.97 | 49.43 | 58.97 | 54.2 | |
| BERT2026.03 | 39.96 | 41.62 | 66.76 | 54.19 | |
| GPT 4.1 NanoIn-context learning=3-shot2026.03 | 39.44 | 46.55 | 61.93 | 54.24 | |
| HuBERT2026.03 | 38.51 | 51.12 | 49.77 | 50.45 | |
| Xlsr-532026.03 | 37.04 | 47.62 | 52.17 | 48.89 | |
| Llama 3.1 8BIn-context learning=Zero-shot2026.03 | 33.91 | 49.04 | 40.48 | 44.76 | |
| Llama 3.1 8BIn-context learning=3-shot2026.03 | 33.69 | 50.3 | 46.1 | 48.2 |