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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1626–1650 of 2041 papers

TitleStatusHype
Audio-Guided Fusion Techniques for Multimodal Emotion Analysis—0
Audio Representation Learning by Distilling Video as Privileged Information—0
Audio-to-Audio Emotion Conversion With Pitch And Duration Style Transfer—0
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks—0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications—0
Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decision—0
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention—0
Augmenting Supervised Emotion Recognition with Rule-Based Decision Model—0
A Unified Transformer-based Network for multimodal Emotion Recognition—0
Automated Assessment of Encouragement and Warmth in Classrooms Leveraging Multimodal Emotional Features and ChatGPT—0
Automated Feature Extraction on AsMap for Emotion Classification using EEG—0
Automatic Analysis of the Emotional Content of Speech in Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit—0
Automatic Detection of Sentimentality from Facial Expressions—0
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models—0
Automatic Group Cohesiveness Detection With Multi-modal Features—0
Automatic Recognition of Facial Displays of Unfelt Emotions—0
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge—0
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition—0
A vector quantized masked autoencoder for audiovisual speech emotion recognition—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
A Vietnamese Dialog Act Corpus Based on ISO 24617-2 standard—0
A Wearable Social Interaction Aid for Children with Autism—0
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)—0
Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection—0
BeMERC: Behavior-Aware MLLM-based Framework for Multimodal Emotion Recognition in Conversation—0
Show:102550
← PrevPage 66 of 82Next →
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