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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 201–225 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
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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