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 1111–1120 of 2041 papers

Title	Date	Tasks	Status	Hype
Automated Feature Extraction on AsMap for Emotion Classification using EEG	Jan 28, 2022	Automated Feature EngineeringClassification	—Unverified	0
"That's so cute!": The CARE Dataset for Affective Response Detection	Jan 28, 2022	Emotion Recognition	—Unverified	0
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition	Jan 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Self-attention fusion for audiovisual emotion recognition with incomplete data	Jan 26, 2022	Emotion RecognitionFacial Emotion Recognition	CodeCode Available	1
Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices	Jan 24, 2022	Emotion Recognition	CodeCode Available	0
A Pre-trained Audio-Visual Transformer for Emotion Recognition	Jan 23, 2022	Emotion ClassificationEmotion Recognition	—Unverified	0
Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech	Jan 19, 2022	Emotion RecognitionPrediction	—Unverified	0
Towards a General Deep Feature Extractor for Facial Expression Recognition	Jan 19, 2022	Emotion RecognitionFacial Emotion Recognition	—Unverified	0
A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis	Jan 18, 2022	BIG-bench Machine LearningEmotion Recognition	—Unverified	0
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion Recognition	Jan 17, 2022	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1

Show:10 25 50

← PrevPage 112 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