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 1626–1650 of 2041 papers

TitleStatusHype
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
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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