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 15761600 of 2041 papers

TitleStatusHype
A Peek at Peak Emotion Recognition0
APEX: Attention on Personality based Emotion ReXgnition Framework0
APPReddit: a Corpus of Reddit Posts Annotated for Appraisal0
Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition0
A Pre-trained Audio-Visual Transformer for Emotion Recognition0
A Quantum Probability Driven Framework for Joint Multi-Modal Sarcasm, Sentiment and Emotion Analysis0
A Question Answering Approach for Emotion Cause Extraction0
A Real Time Facial Expression Classification System Using Local Binary Patterns0
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT0
Are Large Language Models More Empathetic than Humans?0
Are Mamba-based Audio Foundation Models the Best Fit for Non-Verbal Emotion Recognition?0
A Review of Deep Learning Techniques for Speech Processing0
"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data0
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation0
A Robust Incomplete Multimodal Low-Rank Adaptation Approach for Emotion Recognition0
ArPanEmo: An Open-Source Dataset for Fine-Grained Emotion Recognition in Arabic Online Content during COVID-19 Pandemic0
Artificial Behavior Intelligence: Technology, Challenges, and Future Directions0
Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales0
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)0
A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition0
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts0
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles0
ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition0
ASR-based Features for Emotion Recognition: A Transfer Learning Approach0
A Study of Language and Classifier-independent Feature Analysis for Vocal 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