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 491–500 of 2041 papers

Title	Date	Tasks	Status	Hype
The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition	Mar 25, 2024	Emotion RecognitionIn-Context Learning	—Unverified	0
Emotion Recognition from the perspective of Activity Recognition	Mar 24, 2024	Action RecognitionActivity Recognition	—Unverified	0
Unlocking the Emotional States of High-Risk Suicide Callers through Speech Analysis	Mar 22, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	0
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion Recognition	Mar 21, 2024	Emotion RecognitionNeural Architecture Search	CodeCode Available	1
The NeurIPS 2023 Machine Learning for Audio Workshop: Affective Audio Benchmarks and Novel Data	Mar 21, 2024	Emotion RecognitionEvent Detection	—Unverified	0
Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognition	Mar 20, 2024	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1
Emotion Recognition Using Transformers with Masked Learning	Mar 19, 2024	Emotion Recognition	CodeCode Available	0
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision	Mar 19, 2024	Cross-corpusEmotion Recognition	—Unverified	0
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition	Mar 19, 2024	Arousal EstimationEmotion Recognition	—Unverified	0
Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers	Mar 18, 2024	Emotion Recognition	—Unverified	0

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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