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 401425 of 2041 papers

TitleStatusHype
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion RecognitionCode0
Integrating Recurrence Dynamics for 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
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
Graph-Enhanced Emotion Neural DecodingCode0
FedMultimodal: A Benchmark For Multimodal Federated LearningCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and ReasoningCode0
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion RecognitionCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Classifying and Visualizing Emotions with Emotional DANCode0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
ExpNet: Landmark-Free, Deep, 3D Facial ExpressionsCode0
ABHINAYA -- A System for Speech Emotion Recognition In Naturalistic Conditions ChallengeCode0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognitionCode0
Facial Expressions Recognition System Using FPGA-Based Convolutional Neural NetworkCode0
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use CasesCode0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data BiasCode0
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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