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 101150 of 2041 papers

TitleStatusHype
Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention MechanismCode1
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion RecognitionCode1
GiMeFive: Towards Interpretable Facial Emotion ClassificationCode1
Density Adaptive Attention is All You Need: Robust Parameter-Efficient Fine-Tuning Across Multiple ModalitiesCode1
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in ConversationCode1
IdentiFace : A VGG Based Multimodal Facial Biometric SystemCode1
SVFAP: Self-supervised Video Facial Affect PerceiverCode1
Frame-level emotional state alignment method for speech emotion recognitionCode1
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion RecognitionCode1
GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion RecognitionCode1
Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionCode1
Conversation Understanding using Relational Temporal Graph Neural Networks with Auxiliary Cross-Modality InteractionCode1
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in ConversationsCode1
SSLCL: An Efficient Model-Agnostic Supervised Contrastive Learning Framework for Emotion Recognition in ConversationsCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in ConversationsCode1
Crowdsourced and Automatic Speech Prominence EstimationCode1
Hypercomplex Multimodal Emotion Recognition from EEG and Peripheral Physiological SignalsCode1
In the Blink of an Eye: Event-based Emotion RecognitionCode1
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
UniSA: Unified Generative Framework for Sentiment AnalysisCode1
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion RecognitionCode1
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionCode1
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionCode1
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion RecognitionCode1
HTNet for micro-expression recognitionCode1
Vesper: A Compact and Effective Pretrained Model for Speech Emotion RecognitionCode1
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party ConversationsCode1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion RecognitionCode1
Speech Emotion Diarization: Which Emotion Appears When?Code1
Estimating the Uncertainty in Emotion Attributes using Deep Evidential RegressionCode1
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation LearningCode1
Supervised Adversarial Contrastive Learning for Emotion Recognition in ConversationsCode1
Disentangled Variational Autoencoder for Emotion Recognition in ConversationsCode1
Enhancing Speech Emotion Recognition Through Differentiable Architecture SearchCode1
Learning Emotion Representations from Verbal and Nonverbal CommunicationCode1
The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and PersonalisationCode1
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
Hierarchical Dialogue Understanding with Special Tokens and Turn-level AttentionCode1
A vector quantized masked autoencoder for speech emotion recognitionCode1
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion RecognitionCode1
Neuromorphic Event-based Facial Expression RecognitionCode1
How you feelin'? Learning Emotions and Mental States in Movie ScenesCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
A novel facial emotion recognition model using segmentation VGG-19 architectureCode1
Decoupled Multimodal Distilling for Emotion RecognitionCode1
Context De-confounded Emotion RecognitionCode1
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech ProcessingCode1
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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