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 551600 of 2041 papers

TitleStatusHype
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding0
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics0
CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network0
Classifying Emotional Utterances by Employing Multi-modal Speech Emotion Recognition0
A Novel Dialect-Aware Framework for the Classification of Arabic Dialects and Emotions0
A Controlled Set-Up Experiment to Establish Personalized Baselines for Real-Life Emotion Recognition0
A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition0
Classifier-based Polarity Propagation in a WordNet0
A Novel Approach to for Multimodal Emotion Recognition : Multimodal semantic information fusion0
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation0
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning0
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition0
Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data0
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets0
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis0
Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus0
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition0
Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis0
EMERSK -- Explainable Multimodal Emotion Recognition with Situational Knowledge0
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition0
Annotated Corpus of Tweets in English from Various Domains for Emotion Detection0
A Computational Analysis of Mahabharata0
CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition0
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations0
Electroencephalogram Emotion Recognition via AUC Maximization0
CEFER: A Four Facets Framework based on Context and Emotion embedded features for Implicit and Explicit Emotion Recognition0
CAT: Credibility Analysis of Arabic Content on Twitter0
4D Attention-based Neural Network for EEG Emotion Recognition0
CAST-Phys: Contactless Affective States Through Physiological signals Database0
Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition0
Affective Music Information Retrieval0
ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays0
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic0
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions0
Angry or Climbing Stairs? Towards Physiological Emotion Recognition in the Wild0
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams0
Capturing Spectral and Long-term Contextual Information for Speech Emotion Recognition Using Deep Learning Techniques0
Affective Image Content Analysis: Two Decades Review and New Perspectives0
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory0
Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition0
Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?0
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications0
CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue0
Can Emotion Fool Anti-spoofing?0
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets0
Embedded Deep Learning for Face Detection and Emotion Recognition with Intel© Movidius (TM) Neural Compute Stick0
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification0
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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