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 576–600 of 2041 papers

TitleStatusHype
An Iterative Emotion Interaction Network for Emotion Recognition in Conversations—0
Electroencephalogram Emotion Recognition via AUC Maximization—0
CEFER: A Four Facets Framework based on Context and Emotion embedded features for Implicit and Explicit Emotion Recognition—0
CAT: Credibility Analysis of Arabic Content on Twitter—0
4D Attention-based Neural Network for EEG Emotion Recognition—0
CAST-Phys: Contactless Affective States Through Physiological signals Database—0
Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition—0
Affective Music Information Retrieval—0
ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays—0
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic—0
CASA-Based Speaker Identification Using Cascaded GMM-CNN Classifier in Noisy and Emotional Talking Conditions—0
Angry or Climbing Stairs? Towards Physiological Emotion Recognition in the Wild—0
EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams—0
Capturing Spectral and Long-term Contextual Information for Speech Emotion Recognition Using Deep Learning Techniques—0
Affective Image Content Analysis: Two Decades Review and New Perspectives—0
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory—0
Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition—0
Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?—0
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild'' Edge Applications—0
CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue—0
Can Emotion Fool Anti-spoofing?—0
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning—0
EiTAKA at SemEval-2018 Task 1: An Ensemble of N-Channels ConvNet and XGboost Regressors for Emotion Analysis of Tweets—0
Embedded Deep Learning for Face Detection and Emotion Recognition with Intel© Movidius (TM) Neural Compute Stick—0
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification—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