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 851900 of 2041 papers

TitleStatusHype
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors0
標記對於類神經語音情緒辨識系統辨識效果之影響(Effects of Label in Neural Speech Emotion Recognition System)[In Chinese]0
Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks0
Ethics Sheets for AI Tasks0
Beyond Classification: Towards Speech Emotion Reasoning with Multitask AudioLLMs0
Dynamic Resolution Guidance for Facial Expression Recognition0
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals0
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition0
An Attribute-Aligned Strategy for Learning Speech Representation0
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness0
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism0
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets0
Evaluation of OpenAI o1: Opportunities and Challenges of AGI0
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition0
Evaluation of Speaker Anonymization on Emotional Speech0
Event Based Emotion Classification for News Articles0
EventFormer: AU Event Transformer for Facial Action Unit Event Detection0
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition0
EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation0
Conversational Emotion Analysis via Attention Mechanisms0
Fast Facial Landmark Detection and Applications: A Survey0
Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos0
Better Spanish Emotion Recognition In-the-wild: Bringing Attention to Deep Spectrum Voice Analysis0
Exploiting Facial Landmarks for Emotion Recognition in the Wild0
Dynamic Model of Facial Expression Recognition based on Eigen-face Approach0
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