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 926–950 of 2041 papers

TitleStatusHype
Facial Emotions Recognition using Convolutional Neural Net—0
Emotion Recognition in Contemporary Dance Performances Using Laban Movement Analysis—0
Facial Expression Recognition and Image Description Generation in Vietnamese—0
Combining Heterogeneous User Generated Data to Sense Well-being—0
Emotion Recognition from the perspective of Activity Recognition—0
Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming—0
FAF: A novel multimodal emotion recognition approach integrating face, body and text—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition—0
Emotion Recognition from Speech based on Relevant Feature and Majority Voting—0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation—0
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies—0
Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN—0
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild—0
Feature Selection Approaches for Optimising Music Emotion Recognition Methods—0
Emotion Recognition From Gait Analyses: Current Research and Future Directions—0
Emotion Recognition for Vietnamese Social Media Text—0
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition—0
Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse—0
Emotion Recognition for In-the-wild Videos—0
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition—0
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey—0
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network—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