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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 201–250 of 2041 papers

TitleStatusHype
Pairwise Discernment of AffectNet Expressions with ArcFace—0
SDR-GNN: Spectral Domain Reconstruction Graph Neural Network for Incomplete Multimodal Learning in Conversational Emotion RecognitionCode1
Dual Prototyping with Domain and Class Prototypes for Affective Brain-Computer Interface in Unseen Target Conditions—0
ORIS: Online Active Learning Using Reinforcement Learning-based Inclusive Sampling for Robust Streaming Analytics System—0
Multimodal Alignment and Fusion: A Survey—0
Push the Limit of Multi-modal Emotion Recognition by Prompting LLMs with Receptive-Field-Aware Attention Weighting—0
A Cross-Corpus Speech Emotion Recognition Method Based on Supervised Contrastive Learning—0
Towards Advanced Speech Signal Processing: A Statistical Perspective on Convolution-Based Architectures and its Applications—0
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis—0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
Eradicating Social Biases in Sentiment Analysis using Semantic Blinding and Semantic Propagation Graph Neural Networks—0
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis—0
Improvement in Facial Emotion Recognition using Synthetic Data Generated by Diffusion ModelCode0
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation—0
Emotion Detection in Reddit: Comparative Study of Machine Learning and Deep Learning Techniques—0
Once More, With Feeling: Measuring Emotion of Acting Performances in Contemporary American Film—0
PFML: Self-Supervised Learning of Time-Series Data Without Representation CollapseCode0
Re-Parameterization of Lightweight Transformer for On-Device Speech Emotion Recognition—0
Improvement and Implementation of a Speech Emotion Recognition Model Based on Dual-Layer LSTM—0
Emotion Classification of Children Expressions—0
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning—0
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 TasksCode2
Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors—0
Emotional Images: Assessing Emotions in Images and Potential Biases in Generative Models—0
Speaker Emotion Recognition: Leveraging Self-Supervised Models for Feature Extraction Using Wav2Vec2 and HuBERT—0
Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age—0
Leaving Some Facial Features BehindCode0
EEG-based Multimodal Representation Learning for Emotion Recognition—0
Semi-Supervised Self-Learning Enhanced Music Emotion Recognition—0
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation NetworkCode0
TGCA-PVT: Topic-Guided Context-Aware Pyramid Vision Transformer for Sticker Emotion RecognitionCode0
Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs—0
A Survey on Speech Large Language Models—0
Emotion Recognition with Facial Attention and Objective Activation Functions—0
Enhancing Multimodal Affective Analysis with Learned Live Comment Features—0
MMDS: A Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation—0
Regularized Xception for facial expression recognition with extra training data and step decay learning rateCode0
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition—0
SeQuiFi: Mitigating Catastrophic Forgetting in Speech Emotion Recognition with Sequential Class-Finetuning—0
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—0
Enhancing Speech Emotion Recognition through Segmental Average Pooling of Self-Supervised Learning Features—0
EmotionCaps: Enhancing Audio Captioning Through Emotion-Augmented Data Generation—0
Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion PredictionCode0
Empowering Dysarthric Speech: Leveraging Advanced LLMs for Accurate Speech Correction and Multimodal Emotion Analysis—0
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion RecognitionCode2
Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?—0
Audio Explanation Synthesis with Generative Foundation ModelsCode0
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition—0
Context and System Fusion in Post-ASR Emotion Recognition with Large Language ModelsCode0
EmojiHeroVR: A Study on Facial Expression Recognition under Partial Occlusion from Head-Mounted DisplaysCode0
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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