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 976–1000 of 2041 papers

TitleStatusHype
Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets—0
FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition—0
Dynamic Causal Disentanglement Model for Dialogue Emotion Detection—0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems—0
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition—0
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos—0
Fusion approaches for emotion recognition from speech using acoustic and text-based features—0
Fusion of EEG and Musical Features in Continuous Music-emotion Recognition—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
Fuzzy Approach for Audio-Video Emotion Recognition in Computer Games for Children—0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition—0
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation—0
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models—0
An Architecture for Accelerated Large-Scale Inference of Transformer-Based Language Models—0
Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach—0
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition—0
An Approach for Improving Automatic Mouth Emotion Recognition—0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis—0
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition—0
General Purpose Textual Sentiment Analysis and Emotion Detection Tools—0
Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions—0
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement—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