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 176200 of 2041 papers

TitleStatusHype
Emotion Recognition in Audio and Video Using Deep Neural NetworksCode1
How to Enhance Causal Discrimination of Utterances: A Case on Affective ReasoningCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Emotion Recognition from Speech Using Wav2vec 2.0 EmbeddingsCode1
Aff-Wild2: Extending the Aff-Wild Database for Affect RecognitionCode1
Cross Attentional Audio-Visual Fusion for Dimensional Emotion RecognitionCode1
Emotion Recognition on large video dataset based on Convolutional Feature Extractor and Recurrent Neural NetworkCode1
A novel facial emotion recognition model using segmentation VGG-19 architectureCode1
A novel Fourier Adjacency Transformer for advanced EEG emotion recognitionCode1
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction TuningCode1
In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus StudyCode1
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion RecognitionCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisCode1
EmotionFlow: Capture the Dialogue Level Emotion TransitionsCode1
A Transformer-based joint-encoding for Emotion Recognition and Sentiment AnalysisCode1
A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text CorporaCode1
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in ConversationCode1
Deep Multilayer Perceptrons for Dimensional Speech Emotion RecognitionCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
Dynamic Emotion Modeling with Learnable Graphs and Graph Inception NetworkCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Emotionless: Privacy-Preserving Speech Analysis for Voice AssistantsCode1
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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