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

Showing 5175 of 2041 papers

TitleStatusHype
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion RecognitionCode1
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixupCode1
MAVEN: Multi-modal Attention for Valence-Arousal Emotion NetworkCode1
Prosody-Enhanced Acoustic Pre-training and Acoustic-Disentangled Prosody Adapting for Movie DubbingCode1
A novel Fourier Adjacency Transformer for advanced EEG emotion recognitionCode1
Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of ThoughtCode1
Latent Distribution Decoupling: A Probabilistic Framework for Uncertainty-Aware Multimodal Emotion RecognitionCode1
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion RecognitionCode1
Towards Unified Music Emotion Recognition across Dimensional and Categorical ModelsCode1
Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion RecognitionCode1
SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion RecognitionCode1
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition DataCode1
EmoNeXt: an Adapted ConvNeXt for Facial Emotion RecognitionCode1
A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s diseaseCode1
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-LearningCode1
Prototypical Calibrating Ambiguous Samples for Micro-Action RecognitionCode1
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion UnderstandingCode1
Swin Transformer with Enhanced Dropout and Layer-wise Unfreezing for Facial Expression Recognition in Mental Health DetectionCode1
SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion RecognitionCode1
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language ModelCode1
Do Music Generation Models Encode Music Theory?Code1
Mamba-Enhanced Text-Audio-Video Alignment Network for Emotion Recognition in ConversationsCode1
Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion RecognitionCode1
EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse DynamicsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4Unverified
2M2D2EmoA76.7Unverified
3M2DEmoA76.1Unverified
4Jukebox (Pre-training: CALM)EmoA72.1Unverified
5CLMR (Pre-training: contrastive)EmoA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7Unverified
2MultiMAE-DERWAR83.61Unverified
3Intermediate-Attention-FusionAccuracy81.58Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08Unverified
5ERANN-0-4Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73Unverified
2FocusCLIPTop-3 Accuracy (%)13.73Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1Unverified