bc-LSTM+Att

Reported on 5 benchmarks across 1 task

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

Audio5 results

Emotion RecognitiononMELD
Accuracy
57.5
best: 68.7 (ELR-GNN)
Emotion RecognitiononMELD
Weighted-F1
56.44
best: 69.9 (ELR-GNN)
Emotion RecognitiononIEMOCAP
Accuracy
59.09
best: 73.95 (SDT)
Emotion RecognitiononIEMOCAP
Macro-F1
56.52
best: 66.38 (M2FNet-Text)
Emotion RecognitiononIEMOCAP
Weighted-F1
58.54
best: 74.08 (SDT)