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 651–700 of 2041 papers

TitleStatusHype
Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study—0
The Broad Impact of Feature Imitation: Neural Enhancements Across Financial, Speech, and Physiological Domains—0
A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysis—0
InstructERC: Reforming Emotion Recognition in Conversation with Multi-task Retrieval-Augmented Large Language ModelsCode1
Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech—0
Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition—0
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement—0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Dynamic Causal Disentanglement Model for Dialogue Emotion Detection—0
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes—0
Hierarchical Audio-Visual Information Fusion with Multi-label Joint Decoding for MER 2023—0
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations—0
Fuzzy Fingerprinting Transformer Language-Models for Emotion Recognition in Conversations—0
LanSER: Language-Model Supported Speech Emotion Recognition—0
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation—0
Personalized Adaptation with Pre-trained Speech Encoders for Continuous Emotion Recognition—0
Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches—0
Leveraging Label Information for Multimodal Emotion Recognition—0
Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales—0
UniSA: Unified Generative Framework for Sentiment AnalysisCode1
MSM-VC: High-fidelity Source Style Transfer for Non-Parallel Voice Conversion by Multi-scale Style Modeling—0
Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement—0
An Emotion Recognition Embedded System using a Lightweight Deep Learning ModelCode0
Fuzzy Approach for Audio-Video Emotion Recognition in Computer Games for Children—0
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition—0
MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion RecognitionCode1
AI-Based Facial Emotion Recognition Solutions for Education: A Study of Teacher-User and Other Categories—0
Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations—0
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study—0
A Unified Transformer-based Network for multimodal Emotion Recognition—0
From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented DialogueCode0
Hybrid Models for Facial Emotion Recognition in Children—0
Multimodal Latent Emotion Recognition from Micro-expression and Physiological Signals—0
WEARS: Wearable Emotion AI with Real-time Sensor data—0
Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models—0
Imaginations of WALL-E : Reconstructing Experiences with an Imagination-Inspired Module for Advanced AI Systems—0
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion RecognitionCode0
Decoding Emotions: A comprehensive Multilingual Study of Speech Models for Speech Emotion RecognitionCode0
Deep-seeded Clustering for Emotion Recognition from Wearable Physiological Sensors—0
Emotion Embeddings x2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets—0
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for ConversationsCode0
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition—0
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy—0
Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic FeaturesCode0
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition—0
Addressing Racial Bias in Facial Emotion Recognition—0
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition—0
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition—0
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionCode1
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningCode0
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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