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 1001–1050 of 2041 papers

TitleStatusHype
Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and LyricsCode0
Ensemble knowledge distillation of self-supervised speech models—0
Medical Face Masks and Emotion Recognition from the Body: Insights from a Deep Learning PerspectiveCode0
Knowledge-aware Bayesian Co-attention for Multimodal Emotion Recognition—0
Gaussian-smoothed Imbalance Data Improves Speech Emotion Recognition—0
Deep Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition—0
NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion AnalysisCode0
Graph-Enhanced Emotion Neural DecodingCode0
A Large-Scale Analysis of Persian Tweets Regarding Covid-19 Vaccination—0
Audio Representation Learning by Distilling Video as Privileged Information—0
cross-modal fusion techniques for utterance-level emotion recognition from text and speech—0
deep learning of segment-level feature representation for speech emotion recognition in conversations—0
CSAT‑FTCN: A Fuzzy‑Oriented Model with Contextual Self‑attention Network for Multimodal Emotion Recognition—0
Facial Expression Recognition using Squeeze and Excitation-powered Swin Transformers—0
BERT-ERC: Fine-tuning BERT is Enough for Emotion Recognition in Conversation—0
Modulation spectral features for speech emotion recognition using deep neural networks—0
LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks—0
Emotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNN—0
Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring—0
A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition—0
Multi-Label Compound Expression Recognition: C-EXPR Database & Network—0
Feature Selection Approaches for Optimising Music Emotion Recognition Methods—0
Quality at the Tail of Machine Learning Inference—0
A speech corpus of Quechua Collao for automatic dimensional emotion recognitionCode0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals—0
Leveraging Pre-Trained Acoustic Feature Extractor For Affective Vocal Bursts TasksCode0
Multimodal Emotion Recognition among Couples from Lab Settings to Daily Life using Smartwatches—0
InterMulti:Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis—0
Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features—0
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods—0
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis—0
Disentangling Prosody Representations with Unsupervised Speech Reconstruction—0
An Approach for Improving Automatic Mouth Emotion Recognition—0
A comparative study of emotion recognition methods using facial expressions—0
A survey of smart classroom: Concept, technologies and facial emotions recognition application—0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems—0
Analysis of constant-Q filterbank based representations for speech emotion recognition—0
Whose Emotion Matters? Speaking Activity Localisation without Prior KnowledgeCode0
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition—0
NLP meets psychotherapy: Using predicted client emotions and self-reported client emotions to measure emotional coherence—0
FAF: A novel multimodal emotion recognition approach integrating face, body and text—0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition—0
Privacy against Real-Time Speech Emotion Detection via Acoustic Adversarial Evasion of Machine Learning—0
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition—0
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer—0
Deep Emotion Recognition in Textual Conversations: A SurveyCode0
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling ApproachesCode0
Sentiment recognition of Italian elderly through domain adaptation on cross-corpus speech dataset—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