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 751–800 of 2041 papers

TitleStatusHype
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion ModelingCode0
The AffectToolbox: Affect Analysis for Everyone—0
Filter-based multi-task cross-corpus feature learning for speech emotion recognitionCode0
Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation—0
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru—0
Persian Speech Emotion Recognition by Fine-Tuning Transformers—0
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers—0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
Evaluation Metrics for Automated Typographic Poster GenerationCode0
English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts—0
Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study on Speech Emotion Recognition—0
Are Paralinguistic Representations all that is needed for Speech Emotion Recognition?—0
FindingEmo: An Image Dataset for Emotion Recognition in the Wild—0
Graph Neural Networks in EEG-based Emotion Recognition: A Survey—0
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition—0
LRDif: Diffusion Models for Under-Display Camera Emotion Recognition—0
Neuromorphic Valence and Arousal Estimation—0
Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for NeurohumanitiesCode0
AMuSE: Adaptive Multimodal Analysis for Speaker Emotion Recognition in Group Conversations—0
MF-AED-AEC: Speech Emotion Recognition by Leveraging Multimodal Fusion, Asr Error Detection, and Asr Error Correction—0
Revealing Emotional Clusters in Speaker Embeddings: A Contrastive Learning Strategy for Speech Emotion Recognition—0
Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition—0
Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation—0
Self context-aware emotion perception on human-robot interaction—0
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis—0
Utilizing deep learning models for the identification of enhancers and super-enhancers based on genomic and epigenomic features—0
TemporalAugmenter: An Ensemble Recurrent Based Deep Learning Approach for Signal Classification—0
EVOKE: Emotion Enabled Virtual Avatar Mapping Using Optimized Knowledge Distillation—0
Enhancing Emotional Generation Capability of Large Language Models via Emotional Chain-of-Thought—0
TONE: A 3-Tiered ONtology for Emotion analysisCode0
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition—0
Bridging Modalities: Knowledge Distillation and Masked Training for Translating Multi-Modal Emotion Recognition to Uni-Modal, Speech-Only Emotion RecognitionCode0
A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning—0
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation—0
A Multi-Task, Multi-Modal Approach for Predicting Categorical and Dimensional Emotions—0
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition—0
Modality-Collaborative Transformer with Hybrid Feature Reconstruction for Robust Emotion RecognitionCode0
DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition—0
Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion RecognitionCode0
An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition PerformanceCode0
Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis—0
Facial Emotion Recognition using CNN in PyTorch—0
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition—0
Facial Emotion Recognition in VR Games—0
NAC-TCN: Temporal Convolutional Networks with Causal Dilated Neighborhood Attention for Emotion UnderstandingCode0
Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models—0
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations—0
Speech and Text-Based Emotion Recognizer—0
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning—0
Modeling Uncertainty in Personalized Emotion Prediction with Normalizing FlowsCode0
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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