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

Showing 901950 of 2041 papers

TitleStatusHype
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild0
Expression Recognition Analysis in the Wild0
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents0
Expressive Voice Conversion: A Joint Framework for Speaker Identity and Emotional Style Transfer0
Extending RNN-T-based speech recognition systems with emotion and language classification0
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network0
Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data0
FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition0
Emotion Recognition In Persian Speech Using Deep Neural Networks0
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods0
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition0
Facial Emotion Detection Using Convolutional Neural Networks and Representational Autoencoder Units0
Emotion Recognition in Conversation using Probabilistic Soft Logic0
Facial Expression Recognition using Squeeze and Excitation-powered Swin Transformers0
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces0
Conversational Transfer Learning for Emotion Recognition0
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels0
Facial Emotion Recognition using Convolutional Neural Networks0
Facial Emotion Recognition using CNN in PyTorch0
Facial Emotion Recognition Using Deep Learning0
Facial Emotion Recognition using Deep Residual Networks in Real-World Environments0
A Novel Trajectory-based Spatial-Temporal Spectral Features for Speech Emotion Recognition0
AHD ConvNet for Speech Emotion Classification0
Emotion Recognition in Context0
Facial Emotions Recognition using Convolutional Neural Net0
Emotion Recognition in Contemporary Dance Performances Using Laban Movement Analysis0
Facial Expression Recognition and Image Description Generation in Vietnamese0
Combining Heterogeneous User Generated Data to Sense Well-being0
Emotion Recognition from the perspective of Activity Recognition0
Facial Geometric Feature Extraction for Dimensional Emotion Analysis Using Genetic Programming0
FAF: A novel multimodal emotion recognition approach integrating face, body and text0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface0
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition0
Emotion Recognition from Speech based on Relevant Feature and Majority Voting0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation0
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning0
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies0
Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN0
Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild0
Feature Selection Approaches for Optimising Music Emotion Recognition Methods0
Emotion Recognition From Gait Analyses: Current Research and Future Directions0
Emotion Recognition for Vietnamese Social Media Text0
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition0
Emotion Recognition for Low-Resource Turkish: Fine-Tuning BERTurk on TREMO and Testing on Xenophobic Political Discourse0
Emotion Recognition for In-the-wild Videos0
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition0
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey0
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4Unverified
2M2D2EmoA76.7Unverified
3M2DEmoA76.1Unverified
4Jukebox (Pre-training: CALM)EmoA72.1Unverified
5CLMR (Pre-training: contrastive)EmoA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7Unverified
2MultiMAE-DERWAR83.61Unverified
3Intermediate-Attention-FusionAccuracy81.58Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08Unverified
5ERANN-0-4Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73Unverified
2FocusCLIPTop-3 Accuracy (%)13.73Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1Unverified