SOTAVerified

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 576–600 of 2041 papers

TitleStatusHype
Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System—0
Video Emotion Open-vocabulary Recognition Based on Multimodal Large Language Model—0
The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional VariabilityCode0
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition—0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
Electroencephalogram Emotion Recognition via AUC Maximization—0
Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera—0
A Survey of Deep Learning for Group-level Emotion Recognition—0
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
Towards a Generative Approach for Emotion Detection and Reasoning—0
LLDif: Diffusion Models for Low-light Emotion Recognition—0
Recognizing Emotion Regulation Strategies from Human Behavior with Large Language Models—0
Conditioning LLMs with Emotion in Neural Machine Translation—0
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos—0
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation—0
Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis—0
Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality—0
DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis—0
Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning—0
ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks—0
ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation—0
Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment—0
Masked Graph Learning with Recurrent Alignment for Multimodal Emotion Recognition in Conversation—0
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All datasetsEmomusicRAVDESSEMOTICFER2013MaSaC_ERCMPEDMSP-PodcastSEEDคลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4—Unverified
2M2D2EmoA76.7—Unverified
3M2DEmoA76.1—Unverified
4Jukebox (Pre-training: CALM)EmoA72.1—Unverified
5CLMR (Pre-training: contrastive)EmoA67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7—Unverified
2MultiMAE-DERWAR83.61—Unverified
3Intermediate-Attention-FusionAccuracy81.58—Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08—Unverified
5ERANN-0-4Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73—Unverified
2FocusCLIPTop-3 Accuracy (%)13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13—Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34—Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64—Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1—Unverified