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 1326–1350 of 2041 papers

TitleStatusHype
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices—0
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study—0
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm—0
Training speech emotion classifier without categorical annotations—0
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation—0
Transfer Learning for Personality Perception via Speech Emotion Recognition—0
Transformer-Based Self-Supervised Learning for Emotion Recognition—0
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition—0
Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks—0
TRILLsson: Distilled Universal Paralinguistic Speech Representations—0
TRNet: Two-level Refinement Network leveraging Speech Enhancement for Noise Robust Speech Emotion Recognition—0
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth—0
Turbo your multi-modal classification with contrastive learning—0
Tweeting AI: Perceptions of Lay vs Expert Twitterati—0
Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer—0
Two-level Attention with Two-stage Multi-task Learning for Facial Emotion Recognition—0
Two-level Explanations in Music Emotion Recognition—0
Two-stage Framework for Robust Speech Emotion Recognition Using Target Speaker Extraction in Human Speech Noise Conditions—0
UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text—0
UMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil—0
Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition—0
Understanding Emotions: A Dataset of Tweets to Study Interactions between Affect Categories—0
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data—0
Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors—0
Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference—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