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 15261550 of 2041 papers

TitleStatusHype
HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild0
Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition0
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Temporal aggregation of audio-visual modalities for emotion recognition0
Low Rank Fusion based Transformers for Multimodal Sequences0
Shallow over Deep Neural Networks: A empirical analysis for human emotion classification using audio data0
Systematic Evaluation of a Framework for Unsupervised Emotion Recognition for Narrative Text0
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis0
TRANSFER :- DEEP INDUCTIVE NETWORK FOR FACIAL EMOTION RECOGNITIONCode0
Private Speech Classification with Secure Multiparty Computation0
Towards Emotion-aided Multi-modal Dialogue Act Classification0
Contextualized Emotion Recognition in Conversation as Sequence Tagging0
Meta Transfer Learning for Emotion Recognition0
Manipulating emotions for ground truth emotion analysis0
FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply0
Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech ProcessingCode0
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models0
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition0
Learning Visual Emotion Representations From Web Data0
Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features0
Impact of multiple modalities on emotion recognition: investigation into 3d facial landmarks, action units, and physiological data0
Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion0
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition0
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition0
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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