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 451–500 of 2041 papers

TitleStatusHype
FedMultimodal: A Benchmark For Multimodal Federated LearningCode0
Multimodal Embeddings from Language ModelsCode0
Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data BiasCode0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
Affective-NLI: Towards Accurate and Interpretable Personality Recognition in ConversationCode0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
An Interaction-aware Attention Network for Speech Emotion Recognition in Spoken DialogsCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and LyricsCode0
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data AugmentationCode0
FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and ReasoningCode0
CARER: Contextualized Affect Representations for Emotion RecognitionCode0
Facial Expressions Recognition System Using FPGA-Based Convolutional Neural NetworkCode0
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion AttributionCode0
Cross-Lingual Speech Emotion Recognition: Humans vs. Self-Supervised ModelsCode0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
Crossmodal ASR Error Correction with Discrete Speech UnitsCode0
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition PerformanceCode0
ExpNet: Landmark-Free, Deep, 3D Facial ExpressionsCode0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion RecognitionCode0
Filter-based multi-task cross-corpus feature learning for speech emotion recognitionCode0
Exploiting Pseudo Future Contexts for Emotion Recognition in ConversationsCode0
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric LearningCode0
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask LearningCode0
An experimental study in Real-time Facial Emotion Recognition on new 3RL datasetCode0
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion RecognitionCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion DatasetsCode0
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic FeaturesCode0
BYEL : Bootstrap Your Emotion LatentCode0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The BenchmarkCode0
Building a Dialogue Corpus Annotated with Expressed and Experienced EmotionsCode0
BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion RecognitionCode0
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from SpeechCode0
Evaluation Metrics for Automated Typographic Poster GenerationCode0
Bridging Modalities: Knowledge Distillation and Masked Training for Translating Multi-Modal Emotion Recognition to Uni-Modal, Speech-Only Emotion RecognitionCode0
DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural NetworkCode0
Bridge then Begin Anew: Generating Target-relevant Intermediate Model for Source-free Visual Emotion AdaptationCode0
BrainT at IEST 2018: Fine-tuning Multiclass Perceptron For Implicit Emotion ClassificationCode0
Attention Based Fully Convolutional Network for Speech Emotion RecognitionCode0
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained ModelCode0
Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data SelectionCode0
End-to-End Multimodal Emotion Recognition using Deep Neural NetworksCode0
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated VideosCode0
Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech ProcessingCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
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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