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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1376–1400 of 2041 papers

TitleStatusHype
Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for SingersCode0
Weakly-supervised Multi-task Learning for Multimodal Affect Recognition—0
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era—0
Human-Imitating Metrics for Training and Evaluating Privacy Preserving Emotion Recognition Models Using Sociolinguistic Knowledge—0
Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems—0
Do Deep Neural Networks Forget Facial Action Units? -- Exploring the Effects of Transfer Learning in Health Related Facial Expression Recognition—0
Emotion Dynamics Modeling via BERT—0
Speaker Attentive Speech Emotion Recognition—0
Unsupervised low-rank representations for speech emotion recognition—0
Comparison and Analysis of Deep Audio Embeddings for Music Emotion Recognition—0
SFE-Net: EEG-based Emotion Recognition with Symmetrical Spatial Feature Extraction—0
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification—0
Exploring Transformers in Emotion Recognition: a comparison of BERT, DistillBERT, RoBERTa, XLNet and ELECTRA—0
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition—0
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability—0
A Survey on Paralinguistics in Tamil Speech Processing—0
A New View of Multi-modal Language Analysis: Audio and Video Features as Text ``Styles''—0
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks—0
Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning—0
User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments—0
Convolutional Neural Network Hyperparameters optimization for Facial Emotion RecognitionCode0
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition—0
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer—0
Responsible AI: Gender bias assessment in emotion recognition—0
Computational Emotion Analysis From Images: Recent Advances and Future Directions—0
Show:102550
← PrevPage 56 of 82Next →
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