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 1551–1600 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
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends—0
Ensemble emotion recognizing with multiple modal physiological signals—0
Learning Transferable Features for Speech Emotion Recognition—0
Emotion Recognition from SpeechCode0
Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress—0
Context-Dependent Models for Predicting and Characterizing Facial Expressiveness—0
End-to-end facial and physiological model for Affective Computing and applications—0
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group—0
GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception—0
Learning Word Ratings for Empathy and Distress from Document-Level User Responses—0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Converting Sentiment Annotated Data to Emotion Annotated Data—0
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models—0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model—0
Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis—0
A Time Series Analysis of Emotional Loading in Central Bank Statements—0
Modeling emotion in complex stories: the Stanford Emotional Narratives DatasetCode0
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion RecognitionCode0
Emotion Recognition for Vietnamese Social Media Text—0
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory NetworkCode0
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping—0
Joint Emotion Label Space Modelling for Affect Lexica—0
Speech Emotion Recognition Using Speech Feature and Word EmbeddingCode0
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis—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