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 1176–1200 of 2041 papers

TitleStatusHype
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
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition—0
Emotion recognition in talking-face videos using persistent entropy and neural networksCode0
SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network—0
SSAST: Self-Supervised Audio Spectrogram TransformerCode2
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
Span Detection for Aspect-Based Sentiment Analysis in VietnameseCode1
Multimodal Emotion-Cause Pair Extraction in Conversations—0
Positional-Spectral-Temporal Attention in 3D Convolutional Neural Networks for EEG Emotion Recognition—0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition—0
Multistage linguistic conditioning of convolutional layers for speech emotion recognition—0
Exploring Wav2vec 2.0 fine-tuning for improved speech emotion recognitionCode1
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
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED DatasetCode1
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
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognitionCode1
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural NetworksCode0
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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