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 51100 of 2041 papers

TitleStatusHype
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion RecognitionCode1
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion RecognitionCode1
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognitionCode1
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionCode1
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion RecognitionCode1
Beyond Silent Letters: Amplifying LLMs in Emotion Recognition with Vocal NuancesCode1
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression RecognitionCode1
ChatGPT: Jack of all trades, master of noneCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to SpeechCode1
Efficient Speech Emotion Recognition Using Multi-Scale CNN and AttentionCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
CAGE: Circumplex Affect Guided Expression InferenceCode1
EEG-Based Emotion Recognition Using Regularized Graph Neural NetworksCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in ConversationCode1
Do Music Generation Models Encode Music Theory?Code1
Distribution-based Emotion Recognition in ConversationCode1
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
Disentangled Variational Autoencoder for Emotion Recognition in ConversationsCode1
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
Affective Behaviour Analysis Using Pretrained Model with Facial PrioriCode1
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationCode1
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party ConversationsCode1
Decoupled Multimodal Distilling for Emotion RecognitionCode1
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity SignalsCode1
A vector quantized masked autoencoder for speech emotion recognitionCode1
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion RecognitionCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in ConversationsCode1
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
Aff-Wild2: Extending the Aff-Wild Database for Affect RecognitionCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
Deep Multilayer Perceptrons for Dimensional Speech Emotion RecognitionCode1
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-AttentionCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in ConversationsCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in ConversationCode1
BHAAV- A Text Corpus for Emotion Analysis from Hindi StoriesCode1
A novel Fourier Adjacency Transformer for advanced EEG emotion recognitionCode1
Cross-Lingual Cross-Age Group Adaptation for Low-Resource Elderly Speech Emotion RecognitionCode1
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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