Emotion Recognition

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG). Source: Using Deep Autoencoders for Facial Expression Recognition

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 211–220 of 2041 papers

Title	Date	Tasks	Status	Hype
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog Domain	Jun 1, 2022	BenchmarkingEmotion Recognition	CodeCode Available	1
Large Raw Emotional Dataset with Aggregation Mechanism	Dec 23, 2022	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition	Mar 28, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation	Aug 26, 2021	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech	Apr 23, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion	Oct 28, 2022	Emotion RecognitionLanguage Modeling	CodeCode Available	1
Cooperative Sentiment Agents for Multimodal Sentiment Analysis	Apr 19, 2024	DisentanglementEmotion Recognition	CodeCode Available	1
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition	Oct 7, 2021	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database	May 9, 2022	Cultural Vocal Bursts Intensity PredictionDiversity	CodeCode Available	1
CAGE: Circumplex Affect Guided Expression Inference	Apr 23, 2024	Arousal EstimationDominance Estimation	CodeCode Available	1

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All datasets Emomusic RAVDESS EMOTIC FER2013 MaSaC_ERC MPED MSP-Podcast SEED คลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	M2D-CLAP	EmoA	77.4	—	Unverified
2	M2D2	EmoA	76.7	—	Unverified
3	M2D	EmoA	76.1	—	Unverified
4	Jukebox (Pre-training: CALM)	EmoA	72.1	—	Unverified
5	CLMR (Pre-training: contrastive)	EmoA	67.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+Attention	Accuracy	86.7	—	Unverified
2	MultiMAE-DER	WAR	83.61	—	Unverified
3	Intermediate-Attention-Fusion	Accuracy	81.58	—	Unverified
4	Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedST	Accuracy	80.08	—	Unverified
5	ERANN-0-4	Accuracy	74.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CAGE	Top-3 Accuracy (%)	14.73	—	Unverified
2	FocusCLIP	Top-3 Accuracy (%)	13.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	VGG based	5-class test accuracy	66.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MaSaC-ERC-Z	F1-score (Weighted)	51.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BiHDM	Accuracy	40.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	w2v2-L-robust-12	Concordance correlation coefficient (CCC)	0.64	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	4D-aNN	Accuracy	96.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN	1'"	1	—	Unverified