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 19762000 of 2041 papers

TitleStatusHype
Attending to Emotional NarrativesCode0
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data BiasCode0
Evaluation Metrics for Automated Typographic Poster GenerationCode0
An Attention Model for group-level emotion recognitionCode0
Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning PerspectiveCode0
MEDUSA: A Multimodal Deep Fusion Multi-Stage Training Framework for Speech Emotion Recognition in Naturalistic ConditionsCode0
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from SpeechCode0
SemEval 2024 -- Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF)Code0
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in ConversationsCode0
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded KnowledgeCode0
DeXpression: Deep Convolutional Neural Network for Expression RecognitionCode0
Overcoming Language Disparity in Online Content Classification with Multimodal LearningCode0
CARER: Contextualized Affect Representations for Emotion RecognitionCode0
Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English MemesCode0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
BYEL : Bootstrap Your Emotion LatentCode0
Semi-Supervised Adversarial Discriminative Domain AdaptationCode0
Active Learning with Task Adaptation Pre-training for Speech Emotion RecognitionCode0
Semi-Supervised Cognitive State Classification from Speech with Multi-View Pseudo-LabelingCode0
Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth dataCode0
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression RecognitionCode0
A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition ModelsCode0
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful TechniquesCode0
Deformable Convolutional LSTM for Human Body Emotion RecognitionCode0
Show:102550
← PrevPage 80 of 82Next →

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