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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 1001–1050 of 2041 papers

TitleStatusHype
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation—0
SyntAct: A Synthesized Database of Basic Emotions—0
StudEmo: A Non-aggregated Review Dataset for Personalized Emotion Recognition—0
Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection—0
A Japanese Dataset for Subjective and Objective Sentiment Polarity Classification in Micro Blog DomainCode1
Do Multimodal Emotion Recognition Models Tackle Ambiguity?—0
ELAL: An Emotion Lexicon for the Analysis of Alsatian Theatre Plays—0
MMDAG: Multimodal Directed Acyclic Graph Network for Emotion Recognition in Conversation—0
Aspect-Based Emotion Analysis and Multimodal Coreference: A Case Study of Customer Comments on Adidas Instagram Posts—0
APPReddit: a Corpus of Reddit Posts Annotated for Appraisal—0
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AICode2
EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
Building a Dialogue Corpus Annotated with Expressed and Experienced EmotionsCode0
A Survey on Physiological Signal Based Emotion Recognition—0
A Peek at Peak Emotion Recognition—0
Overcoming Language Disparity in Online Content Classification with Multimodal LearningCode0
Cross-subject Action Unit Detection with Meta Learning and Transformer-based Relation Modeling—0
Bias and Fairness on Multimodal Emotion Detection Algorithms—0
Face Detection on Mobile: Five Implementations and Analysis—0
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue DatabaseCode1
EmotionFlow: Capture the Dialogue Level Emotion TransitionsCode1
M2R2: Missing-Modality Robust emotion Recognition framework with iterative data augmentation—0
COGMEN: COntextualized GNN based Multimodal Emotion recognitioNCode1
EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion AnalysisCode2
UMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil—0
JudithJeyafreedaAndrew@TamilNLP-ACL2022:CNN for Emotion Analysis in Tamil—0
GJG@TamilNLP-ACL2022: Emotion Analysis and Classification in Tamil using Transformers—0
MUCS@DravidianLangTech@ACL2022: Ensemble of Logistic Regression Penalties to Identify Emotions in Tamil Text—0
SSNCSE_NLP@TamilNLP-ACL2022: Transformer based approach for Emotion analysis in Tamil language—0
PANDAS@TamilNLP-ACL2022: Emotion Analysis in Tamil Text using Language Agnostic Embeddings—0
Findings of the Shared Task on Emotion Analysis in Tamil—0
CUET-NLP@TamilNLP-ACL2022: Multi-Class Textual Emotion Detection from Social Media using Transformer—0
Ethics Sheets for AI Tasks—0
Varsini_and_Kirthanna@DravidianLangTech-ACL2022-Emotional Analysis in Tamil—0
UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text—0
Emotion Analysis of Writers and Readers of Japanese Tweets on VaccinationsCode0
SentEMO: A Multilingual Adaptive Platform for Aspect-based Sentiment and Emotion Analysis—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
Multimodal fusion via cortical network inspired losses—0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
Climate and Weather: Inspecting Depression Detection via Emotion Recognition—0
Emotion Recognition In Persian Speech Using Deep Neural Networks—0
Evaluation of Self-taught Learning-based Representations for Facial Emotion Recognition—0
Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction—0
EMOCA: Emotion Driven Monocular Face Capture and AnimationCode2
Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil—0
Benchmarking Domain Generalization on EEG-based Emotion Recognition—0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion RecognitionCode1
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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