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 1201–1250 of 2041 papers

TitleStatusHype
SERAB: A multi-lingual benchmark for speech emotion recognitionCode1
Unsupervised Multimodal Language Representations using Convolutional Autoencoders—0
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
Speech Emotion Recognition Based on CNN+LSTM Model—0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics—0
Using Valence and Arousal-infused Bi-LSTM for Sentiment Analysis in Social Media Product Reviews—0
Multimodal Emotion Recognition with High-level Speech and Text FeaturesCode1
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition—0
Unifying Categorical Models by Explicit Disentanglement of the Labels' Generative Factors—0
Neural Dependency Coding inspired Multimodal Fusion—0
Evaluation of Non-Negative Matrix Factorization and n-stage Latent Dirichlet Allocation for Emotion Analysis in Turkish Tweets—0
Semi-Supervised Adversarial Discriminative Domain AdaptationCode0
Holistic Semi-Supervised Approaches for EEG Representation Learning—0
DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder—0
Multi-Task Learning with Sentiment, Emotion, and Target Detection to Recognize Hate Speech and Offensive Language—0
Few-Shot Emotion Recognition in Conversation with Sequential Prototypical NetworksCode1
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition—0
Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition—0
Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion CausesCode1
Ethics Sheet for Automatic Emotion Recognition and Sentiment AnalysisCode1
Generating Dataset For Large-scale 3D Facial Emotion Recognition—0
FSER: Deep Convolutional Neural Networks for Speech Emotion Recognition—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
Beyond Isolated Utterances: Conversational Emotion Recognition—0
EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue SystemsCode0
DeepEMO: Deep Learning for Speech Emotion RecognitionCode0
Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network—0
Graph Based Network with Contextualized Representations of Turns in DialogueCode1
Multi-Branch Deep Radial Basis Function Networks for Facial Emotion Recognition—0
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition—0
Few-shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network with Adaptive Sample Pair Formation—0
Speech Emotion Recognition with Multi-Task LearningCode1
Stimuli-Aware Visual Emotion Analysis—0
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in ConversationCode1
Training and Profiling a Pediatric Emotion Recognition Classifier on Mobile Devices—0
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition—0
A Transformer Architecture for Stress Detection from ECG—0
Unsupervised Cross-Lingual Speech Emotion Recognition Using Pseudo MultilabelCode0
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies—0
A Weakly Supervised Dataset of Fine-Grained Emotions in PortugueseCode0
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion RecognitionCode1
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition—0
The Role of Phonetic Units in Speech Emotion Recognition—0
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing ModalitiesCode1
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion RecognitionCode0
Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition—0
Emotion Stimulus Detection in German News Headlines—0
Emotion Recognition under Consideration of the Emotion Component Process Model—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