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 18261850 of 2041 papers

TitleStatusHype
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory NetworkCode0
Efficient Arabic emotion recognition using deep neural networksCode0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image DataCode0
Real time P, QRS and T wave detection by QRS matched filter methodCode0
Graph-Enhanced Emotion Neural DecodingCode0
TONE: A 3-Tiered ONtology for Emotion analysisCode0
Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in TweetsCode0
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion RecognitionCode0
An experimental study in Real-time Facial Emotion Recognition on new 3RL datasetCode0
From Text to Emotion: Unveiling the Emotion Annotation Capabilities of LLMsCode0
Convolutional Neural Network Hyperparameters optimization for Facial Emotion RecognitionCode0
Multimodal Speech Emotion Recognition and Ambiguity ResolutionCode0
Multimodal Speech Emotion Recognition Using Audio and TextCode0
TACFN: Transformer-based Adaptive Cross-modal Fusion Network for Multimodal Emotion RecognitionCode0
Spatiotemporal Emotion Recognition using Deep CNN Based on EEG during Music ListeningCode0
Multimodal Utterance-level Affect Analysis using Visual, Audio and Text FeaturesCode0
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion RecognitionCode0
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion RecognitionCode0
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion RecognitionCode0
Accumulating Word Representations in Multi-level Context Integration for ERC TaskCode0
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated VideosCode0
Remote Photoplethysmograph Signal Measurement from Facial Videos Using Spatio-Temporal NetworksCode0
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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