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 876900 of 2041 papers

TitleStatusHype
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset0
Adversarial Auto-encoders for Speech Based Emotion Recognition0
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition0
Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities0
Exploration of A Self-Supervised Speech Model: A Study on Emotional Corpora0
Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets0
Spatiotemporal Emotional Synchrony in Dyadic Interactions: The Role of Speech Conditions in Facial and Vocal Affective Alignment0
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach0
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition0
Exploring Emotions in Multi-componential Space using Interactive VR Games0
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis0
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition0
Convolutional Speech Recognition with Pitch and Voice Quality Features0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition0
Dynamic Layer Customization for Noise Robust Speech Emotion Recognition in Heterogeneous Condition Training0
Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems0
Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks0
Exploring Thermography Technology: A Comprehensive Facial Dataset for Face Detection, Recognition, and Emotion0
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models0
Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age0
Dynamic Graph Neural ODE Network for Multi-modal Emotion Recognition in Conversation0
Adaptive Fusion Techniques for Multimodal Data0
Cosmopolitan Mumbai, Orthodox Delhi, Techcity Bangalore:Understanding City Specific Societal Sentiment0
Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems0
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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