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 10011050 of 2041 papers

TitleStatusHype
Capturing Spectral and Long-term Contextual Information for Speech Emotion Recognition Using Deep Learning Techniques0
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions0
Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition0
CAST-Phys: Contactless Affective States Through Physiological signals Database0
CAT: Credibility Analysis of Arabic Content on Twitter0
CEFER: A Four Facets Framework based on Context and Emotion embedded features for Implicit and Explicit Emotion Recognition0
CG-MER: A Card Game-based Multimodal dataset for Emotion Recognition0
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition0
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis0
Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data0
CIT-EmotionNet: CNN Interactive Transformer Network for EEG Emotion Recognition0
CKERC : Joint Large Language Models with Commonsense Knowledge for Emotion Recognition in Conversation0
Classifier-based Polarity Propagation in a WordNet0
Classifying Emotional Utterances by Employing Multi-modal Speech Emotion Recognition0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network0
CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition0
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics0
Climate and Weather: Inspecting Depression Detection via Emotion Recognition0
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation0
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT0
CNN based music emotion classification0
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation0
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks0
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation0
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition0
Combining Heterogeneous User Generated Data to Sense Well-being0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels0
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces0
Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data0
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition0
Comparison of Gender- and Speaker-adaptive Emotion Recognition0
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review0
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation0
Compound Expression Recognition via Large Vision-Language Models0
Computational Emotion Analysis From Images: Recent Advances and Future Directions0
Computationally Efficient Wasserstein Loss for Structured Labels0
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition0
Construction and Annotation of a French Folkstale Corpus0
Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions0
Construction of Emotional Lexicon Using Potts Model0
Construction of English-French Multimodal Affective Conversational Corpus from TV Dramas0
Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition0
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias0
Context-aware Cascade Attention-based RNN for Video Emotion Recognition0
Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis0
Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation0
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition0
Context-Dependent Models for Predicting and Characterizing Facial Expressiveness0
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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