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

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Showing 331–340 of 2041 papers

Title	Date	Tasks	Status	Hype
Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning	Jul 28, 2024	Emotion Recognition	—Unverified	0
ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks	Jul 28, 2024	Emotion Recognitionparameter-efficient fine-tuning	—Unverified	0
Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention	Jul 26, 2024	Emotion RecognitionMultimodal Emotion Recognition	CodeCode Available	1
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment	Jul 25, 2024	Emotion RecognitionLanguage Modeling	—Unverified	0
ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation	Jul 25, 2024	Emotion Recognition	—Unverified	0
MicroEmo: Time-Sensitive Multimodal Emotion Recognition with Micro-Expression Dynamics in Video Dialogues	Jul 23, 2024	Emotion RecognitionMultimodal Emotion Recognition	—Unverified	0
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation	Jul 23, 2024	Emotion RecognitionEmotion Recognition in Conversation	—Unverified	0
EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations	Jul 22, 2024	Emotion RecognitionSpeech Emotion Recognition	—Unverified	0
Norface: Improving Facial Expression Analysis by Identity Normalization	Jul 22, 2024	ClassificationEmotion Recognition	CodeCode Available	1
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification	Jul 20, 2024	EEGElectroencephalogram (EEG)	—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