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 501–550 of 2041 papers

TitleStatusHype
FedMultimodal: A Benchmark For Multimodal Federated LearningCode0
FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversationsCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
FEALLM: Advancing Facial Emotion Analysis in Multimodal Large Language Models with Emotional Synergy and ReasoningCode0
Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion RecognitionCode0
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildCode0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
DeepEmo: Learning and Enriching Pattern-Based Emotion RepresentationsCode0
FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion RecognitionCode0
Speech Emotion Recognition Using Speech Feature and Word EmbeddingCode0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
Facial Expressions Recognition System Using FPGA-Based Convolutional Neural NetworkCode0
Facial Emotion Recognition: A multi-task approach using deep learningCode0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
An Attention Model for group-level emotion recognitionCode0
Exploiting Pseudo Future Contexts for Emotion Recognition in ConversationsCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask LearningCode0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic FeaturesCode0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion DatasetsCode0
ExpNet: Landmark-Free, Deep, 3D Facial ExpressionsCode0
Evaluating Gammatone Frequency Cepstral Coefficients with Neural Networks for Emotion Recognition from SpeechCode0
Bangla Parts-of-Speech Tagging using Bangla Stemmer and Rule based AnalyzerCode0
Enrolment-based personalisation for improving individual-level fairness in speech emotion recognitionCode0
A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseCode0
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
Speech Emotion Recognition Using Multi-hop Attention MechanismCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Evaluation Metrics for Automated Typographic Poster GenerationCode0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsCode0
EmoTxt: A Toolkit for Emotion Recognition from TextCode0
Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion MiningCode0
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion RecognitionCode0
EmotionX-IDEA: Emotion BERT -- an Affectional Model for ConversationCode0
A domain-agnostic approach for opinion prediction on speechCode0
Emotion Recognition Using Transformers with Masked LearningCode0
EmotionX-KU: BERT-Max based Contextual Emotion ClassifierCode0
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural NetworksCode0
Emotion Recognition in Horses with Convolutional Neural NetworksCode0
Emotion recognition in talking-face videos using persistent entropy and neural networksCode0
Emotion Recognition From Speech With Recurrent Neural NetworksCode0
Authentic Emotion Mapping: Benchmarking Facial Expressions in Real NewsCode0
Emotion Recognition in the Wild using Deep Neural Networks and Bayesian ClassifiersCode0
Multi-Task Learning Framework for Emotion Recognition in-the-wildCode0
EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversationCode0
Emotion Recognition from SpeechCode0
Emotion Detection From Tweets Using a BERT and SVM Ensemble ModelCode0
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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