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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 1126–1150 of 2041 papers

TitleStatusHype
A New Amharic Speech Emotion Dataset and Classification Benchmark—0
A proposal for Multimodal Emotion Recognition using aural transformers and Action Units on RAVDESS datasetCode1
Towards Relatable Explainable AI with the Perceptual Process—0
Novel Dual-Channel Long Short-Term Memory Compressed Capsule Networks for Emotion Recognition—0
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning SettingsCode1
Temporal Analysis of Functional Brain Connectivity for EEG-based Emotion Recognition—0
Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition—0
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation—0
Hybrid Curriculum Learning for Emotion Recognition in Conversation—0
Contrast and Generation Make BART a Good Dialogue Emotion RecognizerCode1
Progressive Graph Convolution Network for EEG Emotion Recognition—0
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations—0
ValueNet: A New Dataset for Human Value Driven Dialogue System—0
The Many Faces of Anger: A Multicultural Video Dataset of Negative Emotions in the Wild (MFA-Wild)Code0
LMR-CBT: Learning Modality-fused Representations with CB-Transformer for Multimodal Emotion Recognition from Unaligned Multimodal Sequences—0
Shapes of Emotions: Multimodal Emotion Recognition in Conversations via Emotion ShiftsCode1
Classifying Emotional Utterances by Employing Multi-modal Speech Emotion Recognition—0
Retrofitting of Pre-trained Emotion Words with VAD-dimensions and the Plutchik Emotions—0
The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research—0
以遷移學習改善深度神經網路模型於中文歌詞情緒辨識 (Using Transfer Learning to Improve Deep Neural Networks for Lyrics Emotion Recognition in Chinese)—0
Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profilesCode1
Representation learning through cross-modal conditional teacher-student training for speech emotion recognition—0
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric LearningCode0
Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in AutismCode1
A Case Study on the Independence of Speech Emotion Recognition in Bangla and English Languages using Language-Independent Prosodic Features—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