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 801–825 of 2041 papers

TitleStatusHype
Designing and Evaluating Speech Emotion Recognition Systems: A reality check case study with IEMOCAP—0
An experimental study in Real-time Facial Emotion Recognition on new 3RL dataset—0
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition—0
Metrics for Dataset Demographic Bias: A Case Study on Facial Expression RecognitionCode0
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
Depression detection in social media posts using affective and social norm features—0
Decoupled Multimodal Distilling for Emotion RecognitionCode1
A novel facial emotion recognition model using segmentation VGG-19 architectureCode1
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks—0
Efficient Neural Architecture Search for Emotion Recognition—0
Context De-confounded Emotion RecognitionCode1
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationCode0
How People Respond to the COVID-19 Pandemic on Twitter: A Comparative Analysis of Emotional Expressions from US and India—0
Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English MemesCode0
Tollywood Emotions: Annotation of Valence-Arousal in Telugu Song Lyrics—0
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition—0
Reevaluating Data Partitioning for Emotion Detection in EmoWOZ—0
Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognitionCode0
Exploring Large-scale Unlabeled Faces to Enhance Facial Expression Recognition—0
Improving EEG-based Emotion Recognition by Fusing Time-frequency And Spatial Representations—0
CoordViT: A Novel Method of Improve Vision Transformer-Based Speech Emotion Recognition using Coordinate Information Concatenate—0
A Deep-Learning-Based Neural Decoding Framework for Emotional Brain-Computer Interfaces—0
Pre-trained Model Representations and their Robustness against Noise for Speech Emotion Analysis—0
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech ProcessingCode1
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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