| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Emotion Classification In-domain (test) | F1 Score54.32 | 128 | 4mo ago | ||
| IEMOCAP (test) | VowelPrompt | Weighted-F174.02 | 61 | 2mo ago | |
| EmoC | LORA | Accuracy86.8 | 53 | 4mo ago | |
| EMPATHETICDIALOGUES (test) | NHP Context-Free Data Aug. | Accuracy86.73 | 49 | 4mo ago | |
| FI | CLIP | Accuracy88.64 | 32 | 3mo ago | |
| TE-Emo | Accuracy76.48 | 30 | 4mo ago | ||
| Emotion | Multi-head self-attn | Accuracy87.68 | 27 | 2mo ago | |
| MER 2024 (test) | AffectVerse | Weighted F182.39 | 25 | 2mo ago | |
| MER 2023 (test) | AffectVerse | Weighted F180.92 | 25 | 2mo ago | |
| Emotion | Llama3-8B | Delta 1 (Emotion)3.27 | 24 | 4mo ago | |
| GoEmotions | Variational Credal | Accuracy55.8 | 23 | 2mo ago | |
| Emotion (Out-of-domain) | TIES_Evolver | F1 Score0.4286 | 22 | 4mo ago | |
| 5 Emotion Domains (test) | Average Accuracy51.38 | 20 | 4mo ago | ||
| Combined speech dataset (Baker, LJSpeech, ESD, CREMA-D, Genshin Impact) 1.0 (subject-independent) | Cross Entropy | Accuracy (B)0.613 | 19 | 4mo ago | |
| CREMA-D | VAVL | F1 (Macro)77.9 | 18 | 4mo ago | |
| IEMOCAP 4-way (test) | HCAM | Weighted F185.9 | 17 | 4mo ago | |
| DAIR-AI Emotion | CMHL | F1 Score93.75 | 16 | 4mo ago | |
| DepressionEmo | Micro Precision83 | 15 | 3mo ago | ||
| TE-Emo | Macro-F170.79 | 15 | 4mo ago | ||
| TweetEval Emotion | Macro-F168.74 | 15 | 4mo ago | ||
| DREAMER (subject-independent) | PRISM | Arousal Accuracy92.53 | 14 | 23d ago | |
| TweetEmo (test) | Accuracy79 | 13 | 4mo ago | ||
| Emotion | BLANC | Correlation Coefficient0.6 | 12 | 4mo ago | |
| held-out 36-item set | Routed Count36 | 11 | 23d ago | ||
| CAS(ME) 3 (Part A) | MEDN | UF175.68 | 11 | 3mo ago |
