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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 1551–1575 of 2041 papers

TitleStatusHype
Deep Neural Networks for Automatic Speech Processing: A Survey from Large Corpora to Limited Data—0
Multi-Time-Scale Convolution for Emotion Recognition from Speech Audio SignalsCode1
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data—0
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot NavigationCode1
Emotion Recognition System from Speech and Visual Information based on Convolutional Neural Networks—0
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion RecognitionCode0
Audio-video Emotion Recognition in the Wild using Deep Hybrid Networks—0
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models—0
Multilogue-Net: A Context Aware RNN for Multi-modal Emotion Detection and Sentiment Analysis in ConversationCode1
Speech emotion recognition with deep convolutional neural networksCode1
Emotion Recognition for In-the-wild Videos—0
An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated VideosCode0
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
Multitask Emotion Recognition with Incomplete LabelsCode1
Emotion Recognition Using Speaker Cues—0
Self-supervised ECG Representation Learning for Emotion RecognitionCode1
Speech Emotion Recognition using Support Vector Machine—0
Continuous Emotion Recognition via Deep Convolutional Autoencoder and Support Vector Regressor—0
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions—0
Deep Metric Structured Learning For Facial Expression Recognition—0
An adversarial learning framework for preserving users' anonymity in face-based emotion recognition—0
Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion—0
Visually Guided Self Supervised Learning of Speech Representations—0
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction—0
Facial Emotions Recognition using Convolutional Neural Net—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