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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 71–80 of 180 papers

Title	Date	Tasks	Status	Score
Learning Noise-Robust Joint Representation for Multimodal Emotion Recognition under Incomplete Data Scenarios	Sep 21, 2023	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	5
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion Recognition	Mar 21, 2025	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	5
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image Data	Aug 25, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	5
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition	Sep 13, 2018	Emotion ClassificationEmotion Recognition	CodeCode Available	5
End-to-End Multimodal Emotion Recognition using Deep Neural Networks	Apr 27, 2017	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	5
Context-Dependent Sentiment Analysis in User-Generated Videos	Jul 1, 2017	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	5
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion Recognition	Aug 24, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	5
Leveraging Contrastive Learning and Self-Training for Multimodal Emotion Recognition with Limited Labeled Samples	Aug 23, 2024	Contrastive LearningEmotion Recognition	CodeCode Available	5
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media Videos	Oct 1, 2019	Multimodal Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available	5
Empathy Through Multimodality in Conversational Interfaces	May 8, 2024	Emotional IntelligenceEmotion Recognition	—Unverified	0

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All datasets IEMOCAP-4 MELD IEMOCAP CMU-MOSEI-Sentiment CMU-MOSEI-Sentiment-3 Expressive hands and faces dataset (EHF).MELD-Sentiment

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	86.52	—	Unverified
2	Joyful	Weighted F1	85.7	—	Unverified
3	COGMEN	Weighted F1	84.5	—	Unverified
4	DANN	Accuracy	82.7	—	Unverified
5	MMER	Accuracy	81.7	—	Unverified
6	PATHOSnet v2	Accuracy	80.4	—	Unverified
7	Self-attention weight correction (A+T)	Accuracy	76.8	—	Unverified
8	CHFusion	Accuracy	76.5	—	Unverified
9	bc-LSTM	Weighted F1	74.1	—	Unverified
10	Audio + Text (Stage III)	F1	70.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	66.71	—	Unverified
2	Audio + Text (Stage III)	Weighted F1	65.8	—	Unverified
3	Joyful	Weighted F1	61.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	72.81	—	Unverified
2	Joyful	Weighted F1	70.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	44.93	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	66.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SMPLify-X	v2v error	52.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphSmile	Weighted F1	74.31	—	Unverified