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 351–400 of 2041 papers

TitleStatusHype
Active Learning with Task Adaptation Pre-training for Speech Emotion RecognitionCode0
Iterative Feature Boosting for Explainable Speech Emotion RecognitionCode0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
Integrating Recurrence Dynamics for Speech Emotion RecognitionCode0
Accumulating Word Representations in Multi-level Context Integration for ERC TaskCode0
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image DataCode0
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion RecognitionCode0
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative ModelsCode0
Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention EnhancementCode0
Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking ModelCode0
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wildCode0
Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion RecognitionCode0
AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation EnsembleCode0
Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion ModelCode0
Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data SelectionCode0
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for ConversationsCode0
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion RecognitionCode0
Human-Centered Emotion Recognition in Animated GIFsCode0
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic ImagesCode0
ICON: Interactive Conversational Memory Network for Multimodal Emotion DetectionCode0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion RecognitionCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Group Affect Prediction Using Multimodal DistributionsCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
Graph-Enhanced Emotion Neural DecodingCode0
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use CasesCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic FeaturesCode0
Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion AnalysisCode0
A Self-Attentive Emotion Recognition NetworkCode0
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in TweetsCode0
Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English MemesCode0
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion RecognitionCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Filter-based multi-task cross-corpus feature learning for speech emotion recognitionCode0
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
FedMultimodal: A Benchmark For Multimodal Federated LearningCode0
Combining deep and unsupervised features for multilingual speech emotion recognitionCode0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion RecognitionCode0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and ReasoningCode0
CoMuMDR: Code-mixed Multi-modal Multi-domain corpus for Discourse paRsing in conversationsCode0
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion RecognitionCode0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networksCode0
Facial Expressions Recognition System Using FPGA-Based Convolutional Neural NetworkCode0
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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