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 151175 of 2041 papers

TitleStatusHype
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion RecognitionCode1
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
Deep Multilayer Perceptrons for Dimensional Speech Emotion RecognitionCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity SignalsCode1
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and PredictionCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
COGMEN: COntextualized GNN based Multimodal Emotion recognitioNCode1
CLARA: Multilingual Contrastive Learning for Audio Representation AcquisitionCode1
ChatGPT: Jack of all trades, master of noneCode1
Cluster-Level Contrastive Learning for Emotion Recognition in ConversationsCode1
Compact Graph Architecture for Speech Emotion RecognitionCode1
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion RecognitionCode1
EmoNeXt: an Adapted ConvNeXt for Facial Emotion RecognitionCode1
CAGE: Circumplex Affect Guided Expression InferenceCode1
CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion RecognitionCode1
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in TextsCode1
EmotionFlow: Capture the Dialogue Level Emotion TransitionsCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
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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