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 1451–1475 of 2041 papers

TitleStatusHype
Artificial Intelligence (AI) in Action: Addressing the COVID-19 Pandemic with Natural Language Processing (NLP)—0
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild—0
COSMIC: COmmonSense knowledge for eMotion Identification in ConversationsCode2
Modulated Fusion using Transformer for Linguistic-Acoustic Emotion RecognitionCode1
CAN-GRU: a Hierarchical Model for Emotion Recognition in Dialogue—0
Embedded Emotions -- A Data Driven Approach to Learn Transferable Feature Representations from Raw Speech Input for Emotion Recognition—0
Deep Evolution for Facial Emotion Recognition—0
Micro-Facial Expression Recognition in Video Based on Optimal Convolutional Neural Network (MFEOCNN) Algorithm—0
Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features—0
Attention Driven Fusion for Multi-Modal Emotion Recognition—0
Exploiting Vietnamese Social Media Characteristics for Textual Emotion Recognition in Vietnamese—0
The Use of AI for Thermal Emotion Recognition: A Review of Problems and Limitations in Standard Design and Data—0
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition—0
Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion RecognitionCode1
Optimizing Speech Emotion Recognition using Manta-Ray Based Feature Selection—0
Learning Emotional-Blinded Face Representations—0
Group-Level Emotion Recognition Using a Unimodal Privacy-Safe Non-Individual Approach—0
Multi-modal embeddings using multi-task learning for emotion recognition—0
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion RecognitionCode0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning—0
Convolutional Speech Recognition with Pitch and Voice Quality Features—0
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim ClassificationCode1
Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity—0
Introducing Representations of Facial Affect in Automated Multimodal Deception Detection—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