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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 1851–1900 of 2041 papers

TitleStatusHype
Iterative Feature Boosting for Explainable Speech Emotion RecognitionCode0
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological SignalsCode0
Contrastive Distillation of Emotion Knowledge from LLMs for Zero-Shot Emotion RecognitionCode0
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognitionCode0
JNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative ModelsCode0
UniEmoX: Cross-modal Semantic-Guided Large-Scale Pretraining for Universal Scene Emotion PerceptionCode0
A domain-agnostic approach for opinion prediction on speechCode0
Unsupervised Speech Representation Pooling Using Vector QuantizationCode0
TBDM-Net: Bidirectional Dense Networks with Gender Information for Speech Emotion RecognitionCode0
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification TasksCode0
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion RecognitionCode0
Regularized Xception for facial expression recognition with extra training data and step decay learning rateCode0
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion RecognitionCode0
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributesCode0
Contextual Emotion Recognition Using Transformer-Based ModelsCode0
Bangla Parts-of-Speech Tagging using Bangla Stemmer and Rule based AnalyzerCode0
Multitask Multi-database Emotion RecognitionCode0
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language ModelsCode0
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured LearningCode0
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy ConditionsCode0
Speech-Based Emotion Recognition using Neural Networks and Information VisualizationCode0
Multi Teacher Privileged Knowledge Distillation for Multimodal Expression RecognitionCode0
EEG Emotion Copilot: Optimizing Lightweight LLMs for Emotional EEG Interpretation with Assisted Medical Record GenerationCode0
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-DistributionsCode0
Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in ConversationCode0
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion RecognitionCode0
Filter-based multi-task cross-corpus feature learning for speech emotion recognitionCode0
Speech-based emotion recognition with self-supervised models using attentive channel-wise correlations and label smoothingCode0
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across LanguagesCode0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Context-Dependent Sentiment Analysis in User-Generated VideosCode0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
FedMultimodal: A Benchmark For Multimodal Federated LearningCode0
DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion AnalysisCode0
SpeechCaps: Advancing Instruction-Based Universal Speech Models with Multi-Talker Speaking Style CaptioningCode0
Context-Dependent Embedding Utterance Representations for Emotion Recognition in ConversationsCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseCode0
An Emotion Recognition Embedded System using a Lightweight Deep Learning ModelCode0
Learning Alignment for Multimodal Emotion Recognition from SpeechCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real NewsCode0
Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error CorrectionCode0
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion RecognitionCode0
TRANSFER :- DEEP INDUCTIVE NETWORK FOR FACIAL EMOTION RECOGNITIONCode0
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildCode0
NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion UnderstandingCode0
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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