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

Showing 601650 of 2041 papers

TitleStatusHype
CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue0
Can Emotion Fool Anti-spoofing?0
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning0
Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages0
Emotion Analysis on EEG Signal Using Machine Learning and Neural Network0
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification0
Camera-based implicit mind reading by capturing higher-order semantic dynamics of human gaze within environmental context0
An Explainable Fast Deep Neural Network for Emotion Recognition0
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations0
CALLM: Understanding Cancer Survivors' Emotions and Intervention Opportunities via Mobile Diaries and Context-Aware Language Models0
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective0
3D Model-Based Continuous Emotion Recognition0
CAKE: Compact and Accurate K-dimensional representation of Emotion0
An experimental study in Real-time Facial Emotion Recognition on new 3RL dataset0
Building a Multimodal Laughter Database for Emotion Recognition0
A New View of Multi-modal Language Analysis: Audio and Video Features as Text ``Styles''0
Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality0
Emotional Intelligence of Large Language Models0
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model0
A new model for the implementation of positive and negative emotion recognition0
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition0
A New Amharic Speech Emotion Dataset and Classification Benchmark0
Embedded Deep Learning for Face Detection and Emotion Recognition with Intel© Movidius (TM) Neural Compute Stick0
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models0
An Event-comment Social Media Corpus for Implicit Emotion Analysis0
Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches0
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network0
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions0
Efficient Neural Architecture Search for Emotion Recognition0
A Comparison of Time-based Models for Multimodal Emotion Recognition0
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle0
Emotional Images: Assessing Emotions in Images and Potential Biases in Generative Models0
Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data0
Emotion Analysis on Twitter: The Hidden Challenge0
EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation0
Factorized Higher-Order CNNs with an Application to Spatio-Temporal Emotion Estimation0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition0
An Empirical Study and Improvement for Speech Emotion Recognition0
Efficient Long-distance Latent Relation-aware Graph Neural Network for Multi-modal Emotion Recognition in Conversations0
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis0
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams0
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets0
ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays0
Electroencephalogram Emotion Recognition via AUC Maximization0
Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformers0
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions0
Embedded Emotions -- A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition0
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Benchmark Results

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