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 801–850 of 2041 papers

TitleStatusHype
Multimodal Group Emotion Recognition In-the-wild Using Privacy-Compliant Features—0
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data—0
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks—0
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution—0
Facial Emotion Recognition Under Mask Coverage Using a Data Augmentation TechniqueCode0
Churn Prediction via Multimodal Fusion Learning:Integrating Customer Financial Literacy, Voice, and Behavioral Data—0
Optimal EEG Electrode Set for Emotion Recognition From Brain Signals: An Empirical Quest—0
SER_AMPEL: a multi-source dataset for speech emotion recognition of Italian older adults—0
Dialogue Quality and Emotion Annotations for Customer Support ConversationsCode0
End-to-end transfer learning for speaker-independent cross-language and cross-corpus speech emotion recognition—0
Leveraging Previous Facial Action Units Knowledge for Emotion Recognition on Faces—0
Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification TasksCode0
Implementation of AI Deep Learning Algorithm For Multi-Modal Sentiment Analysis—0
Utilizing Speech Emotion Recognition and Recommender Systems for Negative Emotion Handling in Therapy Chatbots—0
Enhancing Student Engagement in Online Learning through Facial Expression Analysis and Complex Emotion Recognition using Deep Learning—0
Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition—0
Improving Unimodal Inference with Multimodal Transformers—0
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition—0
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach—0
Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning—0
Accumulating Word Representations in Multi-level Context Integration for ERC TaskCode0
Multimodal Stress Detection Using Facial Landmarks and Biometric Signals—0
New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction—0
An analysis of large speech models-based representations for speech emotion recognition—0
Emotional Theory of Mind: Bridging Fast Visual Processing with Slow Linguistic Reasoning—0
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion RecognitionCode0
Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
Privacy-preserving Representation Learning for Speech Understanding—0
Data Augmentation for Emotion Detection in Small Imbalanced Text DataCode0
A Contextualized Real-Time Multimodal Emotion Recognition for Conversational Agents using Graph Convolutional Networks in Reinforcement Learning—0
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion RecognitionCode0
The Skipped Beat: A Study of Sociopragmatic Understanding in LLMs for 64 LanguagesCode0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
Customising General Large Language Models for Specialised Emotion Recognition Tasks—0
MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data—0
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition—0
Towards Subject Agnostic Affective Emotion Recognition—0
FerNeXt: Facial Expression Recognition Using ConvNeXt with Channel AttentionCode0
EmoDiarize: Speaker Diarization and Emotion Identification from Speech Signals using Convolutional Neural Networks—0
From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed DialoguesCode0
Bias in Emotion Recognition with ChatGPT—0
Advancing Audio Emotion and Intent Recognition with Large Pre-Trained Models and Bayesian Inference—0
Towards Emotion-Based Synthetic Consciousness: Using LLMs to Estimate Emotion Probability Vectors—0
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation—0
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations—0
Towards A Robust Group-level Emotion Recognition via Uncertainty-Aware Learning—0
Multimodal Prompt Transformer with Hybrid Contrastive Learning for Emotion Recognition in Conversation—0
Prompting Audios Using Acoustic Properties For Emotion Representation—0
Graph Neural Network-based EEG Classification: A Survey—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