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 18511875 of 2041 papers

TitleStatusHype
Iterative Feature Boosting for Explainable Speech Emotion RecognitionCode0
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological SignalsCode0
Contrastive Distillation of Emotion Knowledge from LLMs for Zero-Shot Emotion RecognitionCode0
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognitionCode0
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative ModelsCode0
UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion PerceptionCode0
A domain-agnostic approach for opinion prediction on speechCode0
Unsupervised Speech Representation Pooling Using Vector QuantizationCode0
TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion RecognitionCode0
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification TasksCode0
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion RecognitionCode0
Regularized Xception for facial expression recognition with extra training data and step decay learning rateCode0
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion RecognitionCode0
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributesCode0
Contextual Emotion Recognition Using Transformer-Based ModelsCode0
Bangla Parts-of-Speech Tagging using Bangla Stemmer and Rule based AnalyzerCode0
Multitask Multi-database Emotion RecognitionCode0
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language ModelsCode0
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured LearningCode0
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy ConditionsCode0
Speech-Based Emotion Recognition using Neural Networks and Information VisualizationCode0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
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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