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 876–900 of 2041 papers

TitleStatusHype
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset—0
Emotion Recognition In Persian Speech Using Deep Neural Networks—0
Emotion Recognition in Low-Resource Settings: An Evaluation of Automatic Feature Selection Methods—0
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition—0
Exploration of A Self-Supervised Speech Model: A Study on Emotional Corpora—0
Exploring Attention Mechanisms for Multimodal Emotion Recognition in an Emergency Call Center Corpus—0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Emotion Recognition in Conversation using Probabilistic Soft Logic—0
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach—0
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces—0
Exploring Emotions in Multi-componential Space using Interactive VR Games—0
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis—0
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition—0
Conversational Transfer Learning for Emotion Recognition—0
Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition—0
Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances—0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels—0
Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks—0
Exploring Thermography Technology: A Comprehensive Facial Dataset for Face Detection, Recognition, and Emotion—0
A Novel Trajectory-based Spatial-Temporal Spectral Features for Speech Emotion Recognition—0
Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age—0
AHD ConvNet for Speech Emotion Classification—0
Emotion Recognition in Context—0
Emotion Recognition in Contemporary Dance Performances Using Laban Movement Analysis—0
Combining Heterogeneous User Generated Data to Sense Well-being—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