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 1871–1880 of 2041 papers

Title	Date	Tasks	Status
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models	Mar 10, 2021	Emotion Recognition	CodeCode Available
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning	Oct 26, 2022	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions	Apr 10, 2024	Emotion RecognitionKeyword Spotting	CodeCode Available
Speech-Based Emotion Recognition using Neural Networks and Information Visualization	Oct 28, 2020	BIG-bench Machine LearningEmotion Classification	CodeCode Available
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression Recognition	Aug 16, 2024	Emotion RecognitionKnowledge Distillation	CodeCode Available
EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record Generation	Sep 30, 2024	Computational EfficiencyDiagnostic	CodeCode Available
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions	Jul 25, 2022	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available
Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation	Jul 11, 2025	4kEmotion Recognition	CodeCode Available
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition	Sep 1, 2024	Emotion RecognitionFacial Emotion Recognition	CodeCode Available
Filter-based multi-task cross-corpus feature learning for speech emotion recognition	Feb 20, 2024	Cross-corpusEmotion Recognition	CodeCode Available

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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