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 701750 of 2041 papers

TitleStatusHype
Emotion Analysis of Tweets Banning Education in Afghanistan0
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition0
Emotion Analysis on EEG Signal Using Machine Learning and Neural Network0
Emotion Analysis on Twitter: The Hidden Challenge0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters0
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification0
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning0
EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation0
Emotion Carrier Recognition from Personal Narratives0
Biologically inspired speech emotion recognition0
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition0
EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition0
Emotion Correlation Mining Through Deep Learning Models on Natural Language Text0
Classifier-based Polarity Propagation in a WordNet0
Emotion Detection in Code-switching Texts via Bilingual and Sentimental Information0
Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques0
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach0
EEG emotion recognition using dynamical graph convolutional neural networks0
Emotion Distribution Learning from Texts0
Emotion Dynamics Modeling via BERT0
Emotion Embeddings x2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets0
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models0
Bimodal Connection Attention Fusion for Speech Emotion Recognition0
Emotion Generation and Recognition: A StarGAN Approach0
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis0
Climate and Weather: Inspecting Depression Detection via Emotion Recognition0
Emotion in Code-switching Texts: Corpus Construction and Analysis0
EEG-based Multimodal Representation Learning for Emotion Recognition0
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition0
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study0
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition0
Emotion Recognition with Facial Attention and Objective Activation Functions0
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models0
Emotion Recognition With Temporarily Localized 'Emotional Events' in Naturalistic Context0
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition0
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning0
CNN based music emotion classification0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning0
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices0
Emotion recognition by fusing time synchronous and time asynchronous representations0
Affective Video Content Analysis: Decade Review and New Perspectives0
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network0
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey0
Emotion Recognition for In-the-wild Videos0
Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse0
Bias in Emotion Recognition with ChatGPT0
Emotion Recognition From Gait Analyses: Current Research and Future Directions0
Eradicating Social Biases in Sentiment Analysis using Semantic Blinding and Semantic Propagation Graph Neural Networks0
An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis0
Show:102550
← PrevPage 15 of 41Next →

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