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 151200 of 2041 papers

TitleStatusHype
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in ConversationCode1
DialogueLLM: Context and Emotion Knowledge-Tuned Large Language Models for Emotion Recognition in ConversationsCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
Disentangled Variational Autoencoder for Emotion Recognition in ConversationsCode1
Do Music Generation Models Encode Music Theory?Code1
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
Context Based Emotion Recognition using EMOTIC DatasetCode1
CoMPM: Context Modeling with Speaker’s Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Context De-confounded Emotion RecognitionCode1
Compact Graph Architecture for Speech Emotion RecognitionCode1
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED DatasetCode1
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party ConversationsCode1
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network Architectures for Superior Speech Emotion RecognitionCode1
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification MethodologiesCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Contextual Information and Commonsense Based Prompt for Emotion Recognition in ConversationCode1
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in ConversationCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
Cluster-Level Contrastive Learning for Emotion Recognition in ConversationsCode1
Emotion Recognition from Speech Using Wav2vec 2.0 EmbeddingsCode1
Emotion Recognition in Audio and Video Using Deep Neural NetworksCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
Engagement Detection with Multi-Task Training in E-Learning EnvironmentsCode1
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
Estimating the Uncertainty in Emotion Attributes using Deep Evidential RegressionCode1
A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s diseaseCode1
Aff-Wild2: Extending the Aff-Wild Database for Affect RecognitionCode1
Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion RecognitionCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
ChatGPT: Jack of all trades, master of noneCode1
A novel Fourier Adjacency Transformer for advanced EEG emotion recognitionCode1
Facial Affective Behavior Analysis with Instruction TuningCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion RecognitionCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical NetworksCode1
COGMEN: COntextualized GNN based Multimodal Emotion recognitioNCode1
Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3Code1
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text CorporaCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingCode1
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion RecognitionCode1
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion RecognitionCode1
A vector quantized masked autoencoder for speech emotion recognitionCode1
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG SignalsCode1
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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