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 1576–1600 of 2041 papers

TitleStatusHype
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated VideosCode0
Emotion Recognition Using Speaker Cues—0
Speech Emotion Recognition using Support Vector Machine—0
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor—0
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions—0
Deep Metric Structured Learning For Facial Expression Recognition—0
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition—0
Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion—0
Visually Guided Self Supervised Learning of Speech Representations—0
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction—0
Facial Emotions Recognition using Convolutional Neural Net—0
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends—0
Ensemble emotion recognizing with multiple modal physiological signals—0
Learning Transferable Features for Speech Emotion Recognition—0
Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress—0
Emotion Recognition from SpeechCode0
Context-Dependent Models for Predicting and Characterizing Facial Expressiveness—0
End-to-end facial and physiological model for Affective Computing and applications—0
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group—0
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception—0
Learning Word Ratings for Empathy and Distress from Document-Level User Responses—0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Converting Sentiment Annotated Data to Emotion Annotated Data—0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
Show:102550
← PrevPage 64 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