SDT

Reported on 4 benchmarks across 1 task · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio4 results

Emotion RecognitiononIEMOCAP
Accuracy· 2023-10-31
73.95
SOTA
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations arXiv:2310.20494
Emotion RecognitiononIEMOCAP
Weighted-F1· 2023-10-31
74.08
SOTA
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations arXiv:2310.20494
Emotion RecognitiononMELD
Accuracy· 2023-10-31
67.55
best: 68.7 (ELR-GNN)
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations arXiv:2310.20494
Emotion RecognitiononMELD
Weighted-F1· 2023-10-31
66.6
best: 69.9 (ELR-GNN)
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations arXiv:2310.20494