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 301–350 of 2041 papers

TitleStatusHype
Directed Acyclic Graph Network for Conversational Emotion RecognitionCode1
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
Distribution-based Emotion Recognition in ConversationCode1
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio DetectionCode1
Do Music Generation Models Encode Music Theory?Code1
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTaCode1
BHAAV- A Text Corpus for Emotion Analysis from Hindi StoriesCode1
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and PredictionCode1
DWFormer: Dynamic Window transFormer for Speech Emotion RecognitionCode1
MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsCode1
EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer PerceptronCode1
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion RecognitionCode1
Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of ThoughtCode1
BiosERC: Integrating Biography Speakers Supported by LLMs for ERC TasksCode1
INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion RecognitionCode0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for ConversationsCode0
Integrating Recurrence Dynamics for Speech Emotion RecognitionCode0
A Commonsense Reasoning Framework for Explanatory Emotion Attribution, Generation and Re-classificationCode0
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image DataCode0
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion RecognitionCode0
Attention Based Fully Convolutional Network for Speech Emotion RecognitionCode0
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from SpeechCode0
Improving Speech Emotion Recognition Through Cross Modal Attention Alignment and Balanced Stacking ModelCode0
Attending to Emotional NarrativesCode0
Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data SelectionCode0
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wildCode0
Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion ModelCode0
ICON: Interactive Conversational Memory Network for Multimodal Emotion DetectionCode0
Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention EnhancementCode0
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic ImagesCode0
A Systematic Evaluation of Adversarial Attacks against Speech Emotion Recognition ModelsCode0
A Dataset for Speech Emotion Recognition in Greek Theatrical PlaysCode0
HoloFace: Augmenting Human-to-Human Interactions on HoloLensCode0
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion RecognitionCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Human-Centered Emotion Recognition in Animated GIFsCode0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
A Change of Heart: Improving Speech Emotion Recognition through Speech-to-Text Modality ConversionCode0
Group-level Emotion Recognition using Transfer Learning from Face IdentificationCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use CasesCode0
Graph-Enhanced Emotion Neural DecodingCode0
Group Affect Prediction Using Multimodal DistributionsCode0
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion RecognitionCode0
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion RecognitionCode0
A speech corpus of Quechua Collao for automatic dimensional emotion recognitionCode0
Active Learning with Task Adaptation Pre-training for Speech Emotion RecognitionCode0
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
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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