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 1951–1975 of 2041 papers

TitleStatusHype
Multimodal Affect Recognition using Kinect—0
Fractal Dimension Pattern Based Multiresolution Analysis for Rough Estimator of Person-Dependent Audio Emotion Recognition—0
Bangla Parts-of-Speech Tagging using Bangla Stemmer and Rule based AnalyzerCode0
Unifying Geometric Features and Facial Action Units for Improved Performance of Facial Expression Analysis—0
I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter—0
Zara The Supergirl: An Empathetic Personality Recognition System—0
Decoding Emotional Experience through Physiological Signal Processing—0
openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words ToolkitCode0
Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The BenchmarkCode0
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge—0
Emotion Analysis on Twitter: The Hidden Challenge—0
Construction of Japanese Audio-Visual Emotion Database and Its Application in Emotion Recognition—0
Could Speaker, Gender or Age Awareness be beneficial in Speech-based Emotion Recognition?—0
Facial expression recognition based on local region specific features and support vector machines—0
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos—0
Exploiting Facial Landmarks for Emotion Recognition in the Wild—0
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention—0
Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos—0
Multimodal Emotion Recognition Using Multimodal Deep Learning—0
How Deep Neural Networks Can Improve Emotion Recognition on Video DataCode1
Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application—0
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth—0
Identifying Stable Patterns over Time for Emotion Recognition from EEG—0
Improving Facial Analysis and Performance Driven Animation through Disentangling Identity and Expression—0
The Indian Spontaneous Expression Database for 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