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 151–160 of 180 papers

Title	Date	Tasks	Status
Combining deep and unsupervised features for multilingual speech emotion recognition	Jan 10, 2021	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition	Oct 28, 2020	Emotion RecognitionMultimodal Emotion Recognition	—Unverified
Emotion recognition by fusing time synchronous and time asynchronous representations	Oct 27, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild	Oct 7, 2020	Deep LearningEmotion Recognition	—Unverified
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition	Apr 4, 2020	Brain Computer InterfaceClustering	—Unverified
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle	Mar 14, 2020	Emotion RecognitionEmotion Recognition in Context	—Unverified
Attentive Modality Hopping Mechanism for Speech Emotion Recognition	Nov 29, 2019	Emotion ClassificationEmotion Recognition	CodeCode Available
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model	Nov 29, 2019	EEGElectroencephalogram (EEG)	—Unverified
M3ER: Multiplicative Multimodal Emotion Recognition Using Facial, Textual, and Speech Cues	Nov 9, 2019	Emotion RecognitionMultimodal Emotion Recognition	—Unverified
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media Videos	Oct 1, 2019	Multimodal Emotion RecognitionMultimodal Sentiment Analysis	CodeCode Available

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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