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 1376–1400 of 2041 papers

TitleStatusHype
Combining deep and unsupervised features for multilingual speech emotion recognitionCode0
Transformer-based approach towards music emotion recognition from lyricsCode1
Facial Expressions Recognition System Using FPGA-Based Convolutional Neural NetworkCode0
Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion RecognitionCode0
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion RecognitionCode0
HisNet: A Polarity Lexicon based on WordNet for Emotion Analysis—0
Audio Content Analysis—0
Sensory Resilience based on Synesthesia—0
A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in ConversationCode1
Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition—0
Unsupervised Cross-Lingual Speech Emotion Recognition Using DomainAdversarial Neural Network—0
Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study—0
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion RecognitionCode1
MSAF: Multimodal Split Attention FusionCode1
Spontaneous Emotion Recognition from Facial Thermal Images—0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition—0
3D-CNN for Facial Emotion Recognition in Videos—0
Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition—0
Annotated Corpus of Tweets in English from Various Domains for Emotion Detection—0
Technical Domain Identification using word2vec and BiLSTM—0
Contextual Augmentation of Pretrained Language Models for Emotion Recognition in Conversations—0
MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations—0
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer—0
Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts—0
Show:102550
← PrevPage 56 of 82Next →
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