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 1526–1550 of 2041 papers

TitleStatusHype
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversationsCode1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?—0
An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis—0
IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors—0
An Event-comment Social Media Corpus for Implicit Emotion Analysis—0
Speech-Emotion Detection in an Indonesian Movie—0
Improving Sentiment Analysis with Biofeedback Data—0
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and WorkshopCode1
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language AnalysisCode1
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition—0
Facial Electromyography-based Adaptive Virtual Reality Gaming for Cognitive Training—0
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles—0
How to read faces without looking at them—0
A Wearable Social Interaction Aid for Children with Autism—0
Deep Multilayer Perceptrons for Dimensional Speech Emotion RecognitionCode1
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition—0
On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and ClassifiersCode0
Context Based Emotion Recognition using EMOTIC DatasetCode1
Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion RecognitionCode1
Joint Deep Cross-Domain Transfer Learning for Emotion Recognition—0
Cross Lingual Cross Corpus Speech Emotion Recognition—0
PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English PoetryCode1
EmotiCon: Context-Aware Multimodal Emotion Recognition using Frege's Principle—0
Emotion Recognition From Gait Analyses: Current Research and Future Directions—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