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 1251–1275 of 2041 papers

TitleStatusHype
SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognition—0
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition—0
Support Super-Vector Machines in Automatic Speech Emotion Recognition—0
Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity—0
SyntAct: A Synthesized Database of Basic Emotions—0
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper—0
Systematic Evaluation of a Framework for Unsupervised Emotion Recognition for Narrative Text—0
TACOformer:Token-channel compounded Cross Attention for Multimodal Emotion Recognition—0
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping—0
TamilEmo: Finegrained Emotion Detection Dataset for Tamil—0
Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages—0
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning—0
Technical Domain Identification using word2vec and BiLSTM—0
TED: Turn Emphasis with Dialogue Feature Attention for Emotion Recognition in Conversation—0
Teleology-Driven Affective Computing: A Causal Framework for Sustained Well-Being—0
Temporal aggregation of audio-visual modalities for emotion recognition—0
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition—0
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification—0
Temporal Aware Mixed Attention-based Convolution and Transformer Network (MACTN) for EEG Emotion Recognition—0
Temporal Label Hierachical Network for Compound Emotion Recognition—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models—0
Text-based Sentiment Analysis and Music Emotion Recognition—0
The AffectToolbox: Affect Analysis for Everyone—0
The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems—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