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 481–490 of 2041 papers

Title	Date	Tasks	Status	Hype
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models	Mar 31, 2024	Emotion Cause ExtractionEmotion-Cause Pair Extraction	CodeCode Available	1
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages	Mar 30, 2024	Constituency ParsingEmotion Recognition	—Unverified	0
UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause	Mar 30, 2024	Emotion Cause ExtractionEmotion-Cause Pair Extraction	—Unverified	0
Inclusive Design Insights from a Preliminary Image-Based Conversational Search Systems Evaluation	Mar 29, 2024	Conversational SearchEmotion Recognition	—Unverified	0
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation	Mar 29, 2024	Contrastive LearningEmotion Recognition	CodeCode Available	1
Cross-Attention is Not Always Needed: Dynamic Cross-Attention for Audio-Visual Dimensional Emotion Recognition	Mar 28, 2024	Emotion Recognition	—Unverified	0
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models	Mar 28, 2024	Emotion RecognitionRoad Segmentation	CodeCode Available	0
Thelxinoë: Recognizing Human Emotions Using Pupillometry and Machine Learning	Mar 27, 2024	Emotion RecognitionEnsemble Learning	—Unverified	0
Fusion approaches for emotion recognition from speech using acoustic and text-based features	Mar 27, 2024	Emotion RecognitionWord Embeddings	—Unverified	0
Accuracy enhancement method for speech emotion recognition from spectrogram using temporal frequency correlation and positional information learning through knowledge transfer	Mar 26, 2024	Emotion RecognitionSpeech Emotion Recognition	CodeCode Available	1

Show:10 25 50

← PrevPage 49 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