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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 1076–1100 of 2041 papers

TitleStatusHype
基于关系图注意力网络和宽度学习的负面情绪识别方法(Negative Emotion Recognition Method Based on Rational Graph Attention Network and Broad Learning)—0
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution LearningCode0
CEFER: A Four Facets Framework based on Context and Emotion embedded features for Implicit and Explicit Emotion Recognition—0
An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems—0
Song Emotion Recognition: a Performance Comparison Between Audio Features and Artificial Neural Networks—0
Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks—0
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition—0
MSA-GCN:Multiscale Adaptive Graph Convolution Network for Gait Emotion Recognition—0
Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal BurstCode0
Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts—0
Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition—0
Automatic Detection of Sentimentality from Facial Expressions—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning—0
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents—0
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring—0
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image DataCode0
ICANet: A Method of Short Video Emotion Recognition Driven by Multimodal Data—0
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion RecognitionCode0
Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms—0
Representation Learning with Graph Neural Networks for Speech Emotion Recognition—0
Feature Selection Enhancement and Feature Space Visualization for Speech-Based Emotion Recognition—0
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition—0
"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data—0
Facial Expression Recognition and Image Description Generation in Vietnamese—0
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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