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 1276–1300 of 2041 papers

TitleStatusHype
Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations—0
A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation—0
Speech Emotion Recognition Using Quaternion Convolutional Neural Networks—0
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition—0
End-to-End Speech Emotion Recognition: Challenges of Real-Life Emergency Call Centers Data Recordings—0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition—0
Emotion recognition in talking-face videos using persistent entropy and neural networksCode0
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition—0
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network—0
EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters—0
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation—0
Hybrid Mutimodal Fusion for Dimensional Emotion Recognition—0
Multimodal Emotion-Cause Pair Extraction in Conversations—0
Multistage linguistic conditioning of convolutional layers for speech emotion recognition—0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition—0
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition—0
Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals—0
Cross Domain Emotion Recognition using Few Shot Knowledge Transfer—0
Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective—0
Context-LGM: Leveraging Object-Context Relation for Context-Aware Object Recognition—0
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural NetworksCode0
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
Using Valence and Arousal-infused Bi-LSTM for Sentiment Analysis in Social Media Product Reviews—0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics—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