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 676–700 of 2041 papers

TitleStatusHype
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