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 1001–1050 of 2041 papers

TitleStatusHype
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition—0
Multimodal Sentiment Analysis based on Video and Audio Inputs—0
Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition—0
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text—0
Multimodal Stress Detection Using Facial Landmarks and Biometric Signals—0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—0
Multiscale Contextual Learning for Speech Emotion Recognition in Emergency Call Center Conversations—0
Multiscale Fractal Analysis on EEG Signals for Music-Induced Emotion Recognition—0
Multi-Scale Temporal Transformer For Speech Emotion Recognition—0
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition—0
Multi-Source EEG Emotion Recognition via Dynamic Contrastive Domain Adaptation—0
Multistage linguistic conditioning of convolutional layers for speech emotion recognition—0
Multi-stream Attention-based BLSTM with Feature Segmentation for Speech Emotion Recognition—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—0
Multitask Emotion Recognition Model with Knowledge Distillation and Task Discriminator—0
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction—0
Multi-Task Learning for Affect Analysis—0
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis—0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language—0
Multi-task, multi-label and multi-domain learning with residual convolutional networks for emotion recognition—0
Multi-Task Self-Supervised Pre-Training for Music Classification—0
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers—0
Multi-view Laplacian Eigenmaps Based on Bag-of-Neighbors For RGBD Human Emotion Recognition—0
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—0
Multi-Window Data Augmentation Approach for Speech Emotion Recognition—0
MuSE-ing on the Impact of Utterance Ordering On Crowdsourced Emotion Annotations—0
MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task—0
Musical Prosody-Driven Emotion Classification: Interpreting Vocalists Portrayal of Emotions Through Machine Learning—0
Music Interpretation and Emotion Perception: A Computational and Neurophysiological Investigation—0
Music Recommendation Based on Facial Emotion Recognition—0
Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection—0
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition—0
MVP: Multimodal Emotion Recognition based on Video and Physiological Signals—0
My Words Imply Your Opinion: Reader Agent-Based Propagation Enhancement for Personalized Implicit Emotion Analysis—0
Naturalistic Audio-Visual Emotion Database—0
Natural Language Processing for Cognitive Analysis of Emotions—0
Neural Architecture Search for Speech Emotion Recognition—0
Neural Dependency Coding inspired Multimodal Fusion—0
Neural Network architectures to classify emotions in Indian Classical Music—0
Neuromorphic Valence and Arousal Estimation—0
New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction—0
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence—0
Noise-Resistant Multimodal Transformer for Emotion Recognition—0
Noise robust speech emotion recognition with signal-to-noise ratio adapting speech enhancement—0
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech—0
Non-linear frequency warping using constant-Q transformation for speech emotion recognition—0
Non-Volume Preserving-based Fusion to Group-Level Emotion Recognition on Crowd Videos—0
Normalization Before Shaking Toward Learning Symmetrically Distributed Representation Without Margin in Speech Emotion Recognition—0
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition—0
Novel techniques for improving NNetEn entropy calculation for short and noisy time series—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