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 551575 of 2041 papers

TitleStatusHype
A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition0
Climate and Weather: Inspecting Depression Detection via Emotion Recognition0
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
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition0
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition0
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition0
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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