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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 151–200 of 2041 papers

TitleStatusHype
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition—0
OSUM: Advancing Open Speech Understanding Models with Limited Resources in AcademiaCode3
EmoFormer: A Text-Independent Speech Emotion Recognition using a Hybrid Transformer-CNN model—0
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network—0
Why disentanglement-based speaker anonymization systems fail at preserving emotions?—0
Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition—0
LLM supervised Pre-training for Multimodal Emotion Recognition in Conversations—0
Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition—0
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition DataCode1
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations—0
Omni-Emotion: Extending Video MLLM with Detailed Face and Audio Modeling for Multimodal Emotion Analysis—0
XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework—0
Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support HotlinesCode0
Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions—0
CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition—0
EmoNeXt: an Adapted ConvNeXt for Facial Emotion RecognitionCode1
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks—0
Multi-face emotion detection for effective Human-Robot Interaction—0
EmotiCrafter: Text-to-Emotional-Image Generation based on Valence-Arousal Model—0
JELLY: Joint Emotion Recognition and Context Reasoning with LLMs for Conversational Speech Synthesis—0
Leveraging Cross-Attention Transformer and Multi-Feature Fusion for Cross-Linguistic Speech Emotion Recognition—0
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals—0
Fitting Different Interactive Information: Joint Classification of Emotion and Intention—0
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation—0
learning discriminative features from spectrograms using center loss for speech emotion recognition—0
Is It Still Fair? Investigating Gender Fairness in Cross-Corpus Speech Emotion Recognition—0
EMOE: Modality-Specific Enhanced Dynamic Emotion Experts—0
Unsupervised Discovery of Facial Landmarks and Head Pose—0
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition—0
A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s diseaseCode1
Metadata-Enhanced Speech Emotion Recognition: Augmented Residual Integration and Co-Attention in Two-Stage Fine-Tuning—0
Enhancing Multimodal Emotion Recognition through Multi-Granularity Cross-Modal Alignment—0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
Mouth Articulation-Based Anchoring for Improved Cross-Corpus Speech Emotion Recognition—0
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-LearningCode1
A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language—0
Effective Context Modeling Framework for Emotion Recognition in Conversations—0
Prototypical Calibrating Ambiguous Samples for Micro-Action RecognitionCode1
Bridge then Begin Anew: Generating Target-relevant Intermediate Model for Source-free Visual Emotion AdaptationCode0
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion RecognitionCode0
Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework—0
Multimodal Sentiment Analysis based on Video and Audio Inputs—0
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis—0
Depression detection from Social Media Bangla Text Using Recurrent Neural Networks—0
WavFusion: Towards wav2vec 2.0 Multimodal Speech Emotion Recognition—0
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation—0
VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains—0
Swin Transformer with Enhanced Dropout and Layer-wise Unfreezing for Facial Expression Recognition in Mental Health DetectionCode1
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition—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