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 1351–1400 of 2041 papers

TitleStatusHype
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group—0
Word Affect Intensities—0
Word Affect Intensities—0
x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations—0
XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework—0
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
以遷移學習改善深度神經網路模型於中文歌詞情緒辨識 (Using Transfer Learning to Improve Deep Neural Networks for Lyrics Emotion Recognition in Chinese)—0
Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition—0
``You Seem Aggressive!'' Monitoring Anger in a Practical Application—0
Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition—0
Zara The Supergirl: An Empathetic Personality Recognition System—0
Zero-Shot Emotion Recognition via Affective Structural Embedding—0
HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images—0
Human Emotion Recognition Based On Galvanic Skin Response signal Feature Selection and SVM—0
HumanOmni: A Large Vision-Speech Language Model for Human-Centric Video Understanding—0
HUMIR at IEST-2018: Lexicon-Sensitive and Left-Right Context-Sensitive BiLSTM for Implicit Emotion Recognition—0
Hybrid Attention based Multimodal Network for Spoken Language Classification—0
Hybrid Backpropagation Parallel Reservoir Networks—0
Hybrid Curriculum Learning for Emotion Recognition in Conversation—0
Hybrid Data Augmentation and Deep Attention-based Dilated Convolutional-Recurrent Neural Networks for Speech Emotion Recognition—0
Hybrid Emotion Recognition: Enhancing Customer Interactions Through Acoustic and Textual Analysis—0
Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification—0
Hybrid Models for Facial Emotion Recognition in Children—0
Hybrid Mutimodal Fusion for Dimensional Emotion Recognition—0
Hybrid Quantum Deep Learning Model for Emotion Detection using raw EEG Signal Analysis—0
HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition—0
Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction—0
I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter—0
ICANet: A Method of Short Video Emotion Recognition Driven by Multimodal Data—0
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection—0
Identifying Emotions from Walking using Affective and Deep Features—0
Identifying Stable Patterns over Time for Emotion Recognition from EEG—0
Identifying Worry in Twitter: Beyond Emotion Analysis—0
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition—0
IIIT-H TEMD Semi-Natural Emotional Speech Database from Professional Actors and Non-Actors—0
IIT Delhi at SemEval-2018 Task 1 : Emotion Intensity Prediction—0
IITK at SemEval-2024 Task 10: Who is the speaker? Improving Emotion Recognition and Flip Reasoning in Conversations via Speaker Embeddings—0
IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features—0
I Know How You Feel: Emotion Recognition with Facial Landmarks—0
Imaginations of WALL-E : Reconstructing Experiences with an Imagination-Inspired Module for Advanced AI Systems—0
I miss you babe: Analyzing Emotion Dynamics During COVID-19 Pandemic—0
Impact of multiple modalities on emotion recognition: investigation into 3d facial landmarks, action units, and physiological data—0
Implementation of AI Deep Learning Algorithm For Multi-Modal Sentiment Analysis—0
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation—0
EEG Classification by factoring in Sensor Configuration—0
Improved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states—0
Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group—0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Improvement and Implementation of a Speech Emotion Recognition Model Based on Dual-Layer LSTM—0
Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature—0
Show:102550
← PrevPage 28 of 41Next →
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