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
Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal BurstCode0
Audio Explanation Synthesis with Generative Foundation ModelsCode0
Exploring Multilingual Unseen Speaker Emotion Recognition: Leveraging Co-Attention Cues in Multitask LearningCode0
Unlocking the Emotional States of High-Risk Suicide Callers through Speech AnalysisCode0
Combining deep and unsupervised features for multilingual speech emotion recognitionCode0
Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion RecognitionCode0
A Self-Attentive Emotion Recognition NetworkCode0
On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and ClassifiersCode0
Exploiting Pseudo Future Contexts for Emotion Recognition in ConversationsCode0
Exploiting Multiple EEG Data Domains with Adversarial LearningCode0
Self-supervised Graphs for Audio Representation Learning with Limited Labeled DataCode0
CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion RecognitionCode0
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal DialoguesCode0
Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal SpaceCode0
Dialogue Quality and Emotion Annotations for Customer Support ConversationsCode0
Attentive Modality Hopping Mechanism for Speech Emotion RecognitionCode0
Classifying and Visualizing Emotions with Emotional DANCode0
Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic FeaturesCode0
MASIVE: Open-Ended Affective State Identification in English and SpanishCode0
Towards Emotion Recognition in Hindi-English Code-Mixed Data: A Transformer Based ApproachCode0
openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words ToolkitCode0
Attention Based Fully Convolutional Network for Speech Emotion RecognitionCode0
A Dataset for Speech Emotion Recognition in Greek Theatrical PlaysCode0
ExHuBERT: Enhancing HuBERT Through Block Extension and Fine-Tuning on 37 Emotion DatasetsCode0
Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from SpeechCode0
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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