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

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Showing 201–250 of 2041 papers

TitleStatusHype
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated LearningCode1
Self-attention fusion for audiovisual emotion recognition with incomplete dataCode1
Group Gated Fusion on Attention-based Bidirectional Alignment for Multimodal Emotion RecognitionCode1
Tailor Versatile Multi-modal Learning for Multi-label Emotion RecognitionCode1
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion ShiftsCode1
Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profilesCode1
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
Cross Attentional Audio-Visual Fusion for Dimensional Emotion RecognitionCode1
Global-Local Attention for Emotion RecognitionCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
A cross-modal fusion network based on self-attention and residual structure for multimodal emotion recognitionCode1
Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological KnowledgeCode1
Span Detection for Aspect-Based Sentiment Analysis in VietnameseCode1
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognitionCode1
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED DatasetCode1
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognitionCode1
SERAB: A multi-lingual benchmark for speech emotion recognitionCode1
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
Multimodal Emotion Recognition with High-level Speech and Text FeaturesCode1
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical NetworksCode1
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion CausesCode1
Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisCode1
Graph Based Network with Contextualized Representations of Turns in DialogueCode1
Speech Emotion Recognition with Multi-Task LearningCode1
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion RecognitionCode1
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing ModalitiesCode1
Towards Unbiased Visual Emotion Recognition via Causal InterventionCode1
Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activityCode1
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion RecognitionCode1
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in ConversationCode1
Codified audio language modeling learns useful representations for music information retrievalCode1
Continuous Emotion Recognition with Audio-visual Leader-follower Attentive FusionCode1
Ethics Sheets for AI TasksCode1
iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion AnalysisCode1
Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual QualitiesCode1
Efficient Speech Emotion Recognition Using Multi-Scale CNN and AttentionCode1
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in ConversationsCode1
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective AnnotationsCode1
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the WildCode1
Facial Emotion Recognition: State of the Art Performance on FER2013Code1
Technical Report for Valence-Arousal Estimation on Affwild2 DatasetCode1
Facial Emotion Recognition Using Transfer Learning in the Deep CNNCode1
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from SpeechCode1
Exploring Visual Engagement Signals for Representation LearningCode1
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All datasetsEmomusicRAVDESSEMOTICFER2013MaSaC_ERCMPEDMSP-PodcastSEEDคลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4—Unverified
2M2D2EmoA76.7—Unverified
3M2DEmoA76.1—Unverified
4Jukebox (Pre-training: CALM)EmoA72.1—Unverified
5CLMR (Pre-training: contrastive)EmoA67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7—Unverified
2MultiMAE-DERWAR83.61—Unverified
3Intermediate-Attention-FusionAccuracy81.58—Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08—Unverified
5ERANN-0-4Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73—Unverified
2FocusCLIPTop-3 Accuracy (%)13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13—Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34—Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64—Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1—Unverified