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 601–625 of 2041 papers

TitleStatusHype
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning—0
EmoFormer: A Text-Independent Speech Emotion Recognition using a Hybrid Transformer-CNN model—0
EmoIntens Tracker at SemEval-2018 Task 1: Emotional Intensity Levels in \#Tweets—0
CA-MHFA: A Context-Aware Multi-Head Factorized Attentive Pooling for SSL-Based Speaker Verification—0
Camera-based implicit mind reading by capturing higher-order semantic dynamics of human gaze within environmental context—0
An Explainable Fast Deep Neural Network for Emotion Recognition—0
CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations—0
CALLM: Understanding Cancer Survivors' Emotions and Intervention Opportunities via Mobile Diaries and Context-Aware Language Models—0
A Comprehensive Survey on EEG-Based Emotion Recognition: A Graph-Based Perspective—0
3D Model-Based Continuous Emotion Recognition—0
CAKE: Compact and Accurate K-dimensional representation of Emotion—0
An experimental study in Real-time Facial Emotion Recognition on new 3RL dataset—0
Building a Multimodal Laughter Database for Emotion Recognition—0
A New View of Multi-modal Language Analysis: Audio and Video Features as Text ``Styles''—0
Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality—0
EmoCaps:Emotion Capsule based Model for Conversationl Emotion Recognition—0
A new model for the implementation of positive and negative emotion recognition—0
EMO-Codec: An In-Depth Look at Emotion Preservation capacity of Legacy and Neural Codec Models With Subjective and Objective Evaluations—0
A New Amharic Speech Emotion Dataset and Classification Benchmark—0
AER-LLM: Ambiguity-aware Emotion Recognition Leveraging Large Language Models—0
An Event-comment Social Media Corpus for Implicit Emotion Analysis—0
Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions—0
A Comparison of Time-based Models for Multimodal Emotion Recognition—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