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 1426–1450 of 2041 papers

TitleStatusHype
Zara The Supergirl: An Empathetic Personality Recognition System—0
Zero-Shot Emotion Recognition via Affective Structural Embedding—0
Zombies Eat Brains, You are Safe: A Knowledge Infusion based Multitasking System for Sarcasm Detection in Meme—0
A Personalized Affective Memory Neural Model for Improving Emotion Recognition—0
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition—0
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem—0
ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks—0
In-Depth Analysis of Emotion Recognition through Knowledge-Based Large Language Models—0
Survey on Emotion Recognition through Posture Detection and the possibility of its application in Virtual Reality—0
Tracking Emotional Dynamics in Chat Conversations: A Hybrid Approach using DistilBERT and Emoji Sentiment Analysis—0
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos—0
Conditioning LLMs with Emotion in Neural Machine Translation—0
Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning—0
CAMEO: Collection of Multilingual Emotional Speech Corpora—0
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition—0
3D-CNN for Facial Emotion Recognition in Videos—0
3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children With Autism—0
3D Model-Based Continuous Emotion Recognition—0
4D Attention-based Neural Network for EEG Emotion Recognition—0
A Bilingual Attention Network for Code-switched Emotion Prediction—0
A breakthrough in Speech emotion recognition using Deep Retinal Convolution Neural Networks—0
Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition—0
Accounting for Variations in Speech Emotion Recognition with Nonparametric Hierarchical Neural Network—0
A Circular-Structured Representation for Visual Emotion Distribution Learning—0
A Comparative Study of Data Augmentation Techniques for Deep Learning Based 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