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

Showing 11011150 of 2041 papers

TitleStatusHype
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech0
Emotion Detection From Tweets Using a BERT and SVM Ensemble ModelCode0
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices0
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 ChallengeCode0
Extending RNN-T-based speech recognition systems with emotion and language classification0
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition0
Multimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text0
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-DistributionsCode0
Seeking Subjectivity in Visual Emotion Distribution Learning0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention0
BYEL : Bootstrap Your Emotion LatentCode0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images0
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion RecognitionCode0
A Multibias-mitigated and Sentiment Knowledge Enriched Transformer for Debiasing in Multimodal Conversational Emotion Recognition0
Semi-supervised cross-lingual speech emotion recognition0
MDEAW: A Multimodal Dataset for Emotion Analysis through EDA and PPG signals from wireless wearable low-cost off-the-shelf Devices0
Emotion Recognition in Conversation using Probabilistic Soft Logic0
EmoSens: Emotion Recognition based on Sensor data analysis using LightGBM0
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource DevicesCode0
Multi-level Fusion of Wav2vec 2.0 and BERT for Multimodal Emotion RecognitionCode0
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition0
A cross-corpus study on speech emotion recognition0
Classifying emotions and engagement in online learning based on a single facial expression recognition neural network0
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition0
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets0
Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data0
Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation0
SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning0
Emotion recognition in the times of COVID19: Coping with face masks0
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
HICEM: A High-Coverage Emotion Model for Artificial Emotional Intelligence0
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition0
AHD ConvNet for Speech Emotion Classification0
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets0
Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction0
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition0
Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation0
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation0
StudEmo: A Non-aggregated Review Dataset for Personalized Emotion Recognition0
Do Multimodal Emotion Recognition Models Tackle Ambiguity?0
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts0
MMDAG: Multimodal Directed Acyclic Graph Network for Emotion Recognition in Conversation0
Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection0
ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays0
SyntAct: A Synthesized Database of Basic Emotions0
APPReddit: a Corpus of Reddit Posts Annotated for Appraisal0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning0
EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4Unverified
2M2D2EmoA76.7Unverified
3M2DEmoA76.1Unverified
4Jukebox (Pre-training: CALM)EmoA72.1Unverified
5CLMR (Pre-training: contrastive)EmoA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7Unverified
2MultiMAE-DERWAR83.61Unverified
3Intermediate-Attention-FusionAccuracy81.58Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08Unverified
5ERANN-0-4Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73Unverified
2FocusCLIPTop-3 Accuracy (%)13.73Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1Unverified