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 526–550 of 2041 papers

TitleStatusHype
Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks—0
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic—0
Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data—0
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition—0
ComFace: Facial Representation Learning with Synthetic Data for Comparing Faces—0
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels—0
A Novel Trajectory-based Spatial-Temporal Spectral Features for Speech Emotion Recognition—0
AHD ConvNet for Speech Emotion Classification—0
Combining Heterogeneous User Generated Data to Sense Well-being—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition—0
COIN: Conversational Interactive Networks for Emotion Recognition in Conversation—0
A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition—0
A Bilingual Attention Network for Code-switched Emotion Prediction—0
Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competition—0
A Novel Multi-Task Learning Method for Symbolic Music Emotion Recognition—0
CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition—0
A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations—0
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks—0
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation—0
CNN based music emotion classification—0
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT—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