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

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Showing 1451–1475 of 2041 papers

TitleStatusHype
A comparative study of emotion recognition methods using facial expressions—0
A Comparative Study of Pre-trained Speech and Audio Embeddings for Speech Emotion Recognition—0
A Comparative Study of Transfer Learning for Emotion Recognition using CNN and Modified VGG16 Models—0
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models—0
A Comparison Of Emotion Annotation Schemes And A New Annotated Data Set—0
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study—0
A Comparison of Time-based Models for Multimodal Emotion Recognition—0
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning—0
A Computational Analysis of Mahabharata—0
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning—0
A Controlled Set-Up Experiment to Establish Personalized Baselines for Real-Life Emotion Recognition—0
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
Acquiring a Dictionary of Emotion-Provoking Events—0
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning—0
A cross-corpus study on speech emotion recognition—0
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition—0
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition—0
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition—0
Adapting WavLM for Speech Emotion Recognition—0
Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games—0
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition—0
A dataset of continuous affect annotations and physiological signals for emotion analysis—0
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification—0
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All datasetsEmomusicRAVDESSEMOTICFER2013MaSaC_ERCMPEDMSP-PodcastSEEDคลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4—Unverified
2M2D2EmoA76.7—Unverified
3M2DEmoA76.1—Unverified
4Jukebox (Pre-training: CALM)EmoA72.1—Unverified
5CLMR (Pre-training: contrastive)EmoA67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7—Unverified
2MultiMAE-DERWAR83.61—Unverified
3Intermediate-Attention-FusionAccuracy81.58—Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08—Unverified
5ERANN-0-4Accuracy74.8—Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73—Unverified
2FocusCLIPTop-3 Accuracy (%)13.73—Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13—Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17—Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34—Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64—Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1—Unverified