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 11511200 of 2041 papers

TitleStatusHype
Structure-Preserving Graph Kernel for Brain Network Classification0
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning0
All in One: A Multi-Task Learning for Emoji, Sentiment and Emotion Analysis in Code-Mixed Text0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems0
Emotion analysis and detection during COVID-190
Biologically inspired speech emotion recognition0
Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method0
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training0
Multimodal End-to-End Group Emotion Recognition using Cross-Modal Attention0
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly0
Cross Attentional Audio-Visual Fusion for Dimensional Emotion RecognitionCode1
Grassmannian learning mutual subspace method for image set recognition0
Global-Local Attention for Emotion RecognitionCode1
Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks0
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding0
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments0
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognitionCode1
Multi-Cue Adaptive Emotion Recognition Network0
ML-PersRef: A Machine Learning-based Personalized Multimodal Fusion Approach for Referencing Outside Objects From a Moving VehicleCode0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation0
Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological KnowledgeCode1
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations0
Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations0
Speech Emotion Recognition Using Quaternion Convolutional Neural Networks0
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition0
End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition0
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition0
Emotion recognition in talking-face videos using persistent entropy and neural networksCode0
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network0
SSAST: Self-Supervised Audio Spectrogram TransformerCode2
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters0
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation0
Hybrid Mutimodal Fusion for Dimensional Emotion Recognition0
Span Detection for Aspect-Based Sentiment Analysis in VietnameseCode1
Multimodal Emotion-Cause Pair Extraction in Conversations0
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition0
Multistage linguistic conditioning of convolutional layers for speech emotion recognition0
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognitionCode1
Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals0
Cross Domain Emotion Recognition using Few Shot Knowledge Transfer0
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED DatasetCode1
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective0
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition0
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognitionCode1
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural NetworksCode0
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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