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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1476–1500 of 2041 papers

TitleStatusHype
Addressing Ambiguity of Emotion Labels Through Meta-Learning—0
Addressing Racial Bias in Facial Emotion Recognition—0
A Deep Learning Based Chatbot for Campus Psychological Therapy—0
A Deep-Learning-Based Neural Decoding Framework for Emotional Brain-Computer Interfaces—0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
A Discourse-level Multi-scale Prosodic Model for Fine-grained Emotion Analysis—0
A Discriminative Vectorial Framework for Multi-modal Feature Representation—0
A Dual-Stream Recurrence-Attention Network With Global-Local Awareness for Emotion Recognition in Textual Dialog—0
Adults as Augmentations for Children in Facial Emotion Recognition with Contrastive Learning—0
Advanced LSTM: A Study about Better Time Dependency Modeling in Emotion Recognition—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Adversarial Auto-encoders for Speech Based Emotion Recognition—0
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness—0
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness—0
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition—0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models—0
Affective Image Content Analysis: Two Decades Review and New Perspectives—0
Affective Music Information Retrieval—0
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition—0
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition—0
AHD ConvNet for Speech Emotion Classification—0
A Heterogeneous Multimodal Graph Learning Framework for Recognizing User Emotions in Social Networks—0
Show:102550
← PrevPage 60 of 82Next →
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