SOTAVerified

Multimodal Emotion Recognition

This is a leaderboard for multimodal emotion recognition on the IEMOCAP dataset. The modality abbreviations are A: Acoustic T: Text V: Visual

Please include the modality in the bracket after the model name.

All models must use standard five emotion categories and are evaluated in standard leave-one-session-out (LOSO). See the papers for references.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 180 papers

TitleStatusHype
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning—0
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological SignalsCode1
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data ScenariosCode0
Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023—0
Leveraging Label Information for Multimodal Emotion Recognition—0
A Unified Transformer-based Network for multimodal Emotion Recognition—0
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition—0
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion RecognitionCode1
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning—0
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party ConversationsCode1
TACOformer:Token-channel compounded Cross Attention for Multimodal Emotion Recognition—0
A Comparison of Time-based Models for Multimodal Emotion Recognition—0
EMERSK -- Explainable Multimodal Emotion Recognition with Situational Knowledge—0
Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus—0
Modality Influence in Multimodal Machine Learning—0
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals—0
Versatile audio-visual learning for emotion recognition—0
Noise-Resistant Multimodal Transformer for Emotion Recognition—0
MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised LearningCode2
HCAM -- Hierarchical Cross Attention Model for Multi-modal Emotion Recognition—0
An Empirical Study and Improvement for Speech Emotion Recognition—0
Decoupled Multimodal Distilling for Emotion RecognitionCode1
Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition—0
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition—0
cross-modal fusion techniques for utterance-level emotion recognition from text and speech—0
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All datasetsIEMOCAP-4MELDIEMOCAPCMU-MOSEI-SentimentCMU-MOSEI-Sentiment-3Expressive hands and faces dataset (EHF).MELD-Sentiment

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F186.52—Unverified
2JoyfulWeighted F185.7—Unverified
3COGMENWeighted F184.5—Unverified
4DANNAccuracy82.7—Unverified
5MMERAccuracy81.7—Unverified
6PATHOSnet v2Accuracy80.4—Unverified
7Self-attention weight correction (A+T)Accuracy76.8—Unverified
8CHFusionAccuracy76.5—Unverified
9bc-LSTMWeighted F174.1—Unverified
10Audio + Text (Stage III)F170.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F166.71—Unverified
2Audio + Text (Stage III)Weighted F165.8—Unverified
3JoyfulWeighted F161.77—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F172.81—Unverified
2JoyfulWeighted F170.5—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F144.93—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F166.73—Unverified
#ModelMetricClaimedVerifiedStatus
1SMPLify-Xv2v error52.9—Unverified
#ModelMetricClaimedVerifiedStatus
1GraphSmileWeighted F174.31—Unverified