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 376400 of 2041 papers

TitleStatusHype
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
Graph-Enhanced Emotion Neural DecodingCode0
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic FeaturesCode0
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use CasesCode0
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion AnalysisCode0
A Self-Attentive Emotion Recognition NetworkCode0
Group Affect Prediction Using Multimodal DistributionsCode0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in TweetsCode0
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion RecognitionCode0
Combining deep and unsupervised features for multilingual speech emotion recognitionCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Filter-based multi-task cross-corpus feature learning for speech emotion recognitionCode0
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion RecognitionCode0
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversationsCode0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
FedMultimodal: A Benchmark For Multimodal Federated LearningCode0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
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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