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 951–975 of 2041 papers

TitleStatusHype
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey—0
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation—0
Emotion Recognition for Challenged People Facial Appearance in Social using Neural Network—0
FindingEmo: An Image Dataset for Emotion Recognition in the Wild—0
Finding Good Representations of Emotions for Text Classification—0
Findings of the Shared Task on Emotion Analysis in Tamil—0
Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model—0
Fine-Grained Emotion Detection in Health-Related Online Posts—0
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation—0
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding—0
Fine-tuning Wav2vec for Vocal-burst Emotion Recognition—0
Fitting Different Interactive Information: Joint Classification of Emotion and Intention—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
Human Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks—0
Emotion recognition by fusing time synchronous and time asynchronous representations—0
Forewords—0
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition—0
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks—0
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices—0
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation—0
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation—0
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning—0
CNN based music emotion classification—0
Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities—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