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Multimodal Emotion Recognition in Conversation on IEMOCAP 6-class (test)

72.81Weighted F1 Score (WF1)GraphSmile
47.194853.844960.49567.1451Nov 1, 2018Jan 22, 2020Apr 14, 2021Jul 6, 2022Sep 26, 2023Dec 17, 2024Mar 10, 2026

Evaluation results

MethodLinks
GraphSmile2024.0772.8163.0983.1671.0771.3879.6666.8472.77———————
M3NetResult Source=Original Paper2024.0771.0760.9378.8470.1468.0677.1167.4270.92———————
JoyfulResult Source=Original Paper2024.0771.0360.9484.4268.2469.9573.5467.5570.55———————
MiSTER-EModality=speech-text2026.0370.9——————————————
UniMSE2024.0770.66——————70.56———————
SACL-LSTMResult Source=Original Paper, Multimodal Feature Fusion Strategy=Direct Concatenation2024.0770.651.382.2571.3967.7875.2666.9470.55———————
SMINModality=speech-text, External Emotional Data=Not used2026.0370.5——————————————
HCAMModality=speech-text2026.0370.5——————————————
LSDGNN+ICL2025.0770.2447.281.537169.7473.1968.5870.3568.54——————
Mamba-like-modelModality=speech-text2026.0370.2——————————————
MetaDrop2024.0769.59——————69.38———————
DF-ERCModality=speech-text2026.0369.5——————————————
DER-GCNResult Source=Original Paper2024.0769.458.879.861.572.173.367.869.7———————
DER-GCN2025.0769.458.879.861.572.173.367.869.7———————
TelMEModality=speech-text2026.0369.3——————————————
CBERL2025.0769.2767.3472.8460.7573.5170.7771.1969.36———————
MultiDAG+CL2025.0769.0845.2681.469.5370.3371.6166.9469.11———————
MM-DFNResult Source=Original Paper2024.0768.8343.3683.2370.0370.1973.1164.0169.44———————
DialogueCRNResult Source=Original Paper, Multimodal Feature Fusion Strategy=Direct Concatenation2024.0768.8253.8582.6671.0362.3377.6458.8168.7———————
CFN-ESAModality=speech-text2026.0368.7——————————————
DCGCNResult Source=Original Paper2024.0768.31——————————————
LR-GCN2025.0768.355.579.163.8697468.968.5———————
EmoLRResult Source=Original Paper2024.0768.12——————68.53———————
DAG-ERC2025.0768.0347.5979.8369.3666.6766.7968.6667.53———————
COGMENResult Source=Original Paper2024.0767.651.981.768.66675.358.268.2———————
MultiEmoModality=speech-text, Implementation=authors' public implementation (re-run)2026.0366.9——————————————
MMGCNResult Source=Original Paper2024.0766.8147.181.9166.4463.5176.1759.0667.1———————
MMGCN2025.0766.2242.3478.6761.736974.3362.32————————
MMGAT-EMOModality=speech-text, Implementation=authors' public implementation (re-run)2026.0365.5——————————————
DER-GCNModality=speech-text2026.0364.7——————————————
ELR-GNNModality=speech-text2026.0364.4——————————————
DialogueGCN2025.0764.1842.7584.5463.5464.1963.0866.9965.25———————
ICON2025.0763.532.874.460.668.268.466.264———————
DialogueRNN2025.0762.7533.1878.859.2165.2871.8658.9163.4———————
BiDialogueRNN+Attbidirectional=true, attention=true2018.1162.7525.6975.158.5964.7180.2761.1563.4—33.1878.859.2165.2871.8658.91
DialogueRNN+Attattention=true2018.1161.5128.4765.3162.567.6570.961.6861.8—36.6172.457.2165.7168.6160.8
BiDialogueRNNbidirectional=true2018.1160.2832.6471.0260.4762.9456.5265.6260.32—36.1574.0456.1663.8862.0261.73
DialogueRNNvariant=12018.1159.8931.2566.1263.0261.7661.5459.5859.33—33.8369.8357.7662.564.4559.46
DialogueRNNvariant=22018.1158.7635.4265.7155.7362.9459.263.5258.66—35.5469.8555.361.8562.2159.38
c-LSTM+attattention=true2018.1156.1930.5656.7357.5559.4152.8465.8856.32—35.6362.95359.2458.8559.41
CMNstatus=SOTA2018.1156.132555.9252.8661.7655.5271.1356.56—30.3862.4152.3959.8360.2560.69
memnet2018.1155.125.7255.5358.1259.3251.567.255.72—33.5361.7752.8455.3958.359
c-LSTM2018.1154.9529.1757.1454.1757.0651.1767.1955.21—34.4360.8751.8156.7357.9558.92
CNN2018.1148.1827.7757.1434.3361.1746.1562.9948.92—29.8653.8340.1452.4450.0955.75