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 651–675 of 2041 papers

TitleStatusHype
A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition—0
A dataset of continuous affect annotations and physiological signals for emotion analysis—0
A Circular-Structured Representation for Visual Emotion Distribution Learning—0
CAMEO: Collection of Multilingual Emotional Speech Corpora—0
CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons—0
Crowdsourcing-based Annotation of Emotions in Filipino and English Tweets—0
A Time Series Analysis of Emotional Loading in Central Bank Statements—0
Crowdsourcing a Word-Emotion Association Lexicon—0
Crowdsourcing and Validating Event-focused Emotion Corpora for German and English—0
A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions—0
Amplifying a Sense of Emotion toward Drama-Long Short-Term Memory Recurrent Neural Network for dynamic emotion recognition—0
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition—0
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling—0
A Survey on Speech Large Language Models—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
cross-modal fusion techniques for utterance-level emotion recognition from text and speech—0
Cross-modal Context Fusion and Adaptive Graph Convolutional Network for Multimodal Conversational Emotion Recognition—0
A Survey on Sentiment and Emotion Analysis for Computational Literary Studies—0
A Survey on Physiological Signal Based Emotion Recognition—0
Alzheimer's Disease Diagnosis Based on Cognitive Methods in Virtual Environments and Emotions Analysis—0
Cross Lingual Cross Corpus Speech Emotion Recognition—0
A Survey on Paralinguistics in Tamil Speech Processing—0
Cross-lingual and Multilingual Speech Emotion Recognition on English and French—0
A survey of smart classroom: Concept, technologies and facial emotions recognition application—0
A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition—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