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 201–210 of 2041 papers

Title	Date	Tasks	Status	Hype	Score
Disentangling Textual and Acoustic Features of Neural Speech Representations	Oct 3, 2024	DisentanglementEmotion Recognition	CodeCode Available	1	5
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset	Oct 9, 2021	Deep LearningEmotion Recognition	CodeCode Available	1	5
Do Music Generation Models Encode Music Theory?	Oct 1, 2024	Emotion RecognitionGenre classification	CodeCode Available	1	5
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding	Dec 11, 2024	Depression DetectionEmotion-Cause Pair Extraction	CodeCode Available	1	5
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection	Aug 7, 2023	Continual LearningEmotion Recognition	CodeCode Available	1	5
Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in Conversations	Sep 8, 2024	Emotion RecognitionMamba	CodeCode Available	1	5
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations	Oct 31, 2023	Emotion RecognitionEmotion Recognition in Conversation	CodeCode Available	1	5
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning	Apr 25, 2024	Emotion ClassificationEmotion Recognition	CodeCode Available	1	5
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection	Oct 21, 2022	Dialogue GenerationEmotion Recognition	CodeCode Available	1	5
Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural Network	Jun 19, 2020	Emotion Recognition	CodeCode Available	1	5

Show:10 25 50

← PrevPage 21 of 205Next →

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