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 601–650 of 2041 papers

TitleStatusHype
Emotion Analysis of Writers and Readers of Japanese Tweets on VaccinationsCode0
A Multi-task Neural Approach for Emotion Attribution, Classification and SummarizationCode0
Audio Explanation Synthesis with Generative Foundation ModelsCode0
Human-Centered Emotion Recognition in Animated GIFsCode0
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future DirectionsCode0
Emotion Action Detection and Emotion Inference: the Task and DatasetCode0
Emotional Speech Recognition with Pre-trained Deep Visual ModelsCode0
Emotion Detection From Tweets Using a BERT and SVM Ensemble ModelCode0
Deep Learning-Based Feature Fusion for Emotion Analysis and Suicide Risk Differentiation in Chinese Psychological Support HotlinesCode0
Deep Learning based Emotion Recognition System Using Speech Features and TranscriptionsCode0
EmojiHeroVR: A Study on Facial Expression Recognition under Partial Occlusion from Head-Mounted DisplaysCode0
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution LearningCode0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language ModelsCode0
Deep Evolution for Facial Emotion Recognition—0
AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition—0
Attributes-aware Visual Emotion Representation Learning—0
A Multimodal Emotion Recognition System: Integrating Facial Expressions, Body Movement, Speech, and Spoken Language—0
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly—0
Deep CNN with late fusion for realtime multimodal emotion recognition—0
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition—0
Addressing Racial Bias in Facial Emotion Recognition—0
Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks—0
Attentive Cross-modal Connections for Deep Multimodal Wearable-based Emotion Recognition—0
Decoding Emotional Experience through Physiological Signal Processing—0
Attentive Convolutional Neural Network based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech—0
Deciphering Emotions in Children Storybooks: A Comparative Analysis of Multimodal LLMs in Educational Applications—0
DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks—0
Attention Driven Fusion for Multi-Modal Emotion Recognition—0
Data Fine-tuning—0
Attention-based Region of Interest (ROI) Detection for Speech Emotion Recognition—0
A Multimodal Approach towards Emotion Recognition of Music using Audio and Lyrical Content—0
Addressing Ambiguity of Emotion Labels Through Meta-Learning—0
Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer—0
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models—0
DASB -- Discrete Audio and Speech Benchmark—0
A Multilingual Natural Stress Emotion Database—0
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition—0
Customising General Large Language Models for Specialised Emotion Recognition Tasks—0
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality—0
AdCOFE: Advanced Contextual Feature Extraction in Conversations for emotion classification—0
Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels—0
CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding—0
A Transformer Architecture for Stress Detection from ECG—0
A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wild—0
CUET-NLP@TamilNLP-ACL2022: Multi-Class Textual Emotion Detection from Social Media using Transformer—0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition—0
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition—0
CSAT‑FTCN: A Fuzzy‑Oriented Model with Contextual Self‑attention Network for Multimodal Emotion Recognition—0
Atom Search Optimization with Simulated Annealing -- a Hybrid Metaheuristic Approach for Feature Selection—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