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 976–1000 of 2041 papers

TitleStatusHype
Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
Affective Video Content Analysis: Decade Review and New Perspectives—0
Emotion recognition by fusing time synchronous and time asynchronous representations—0
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition—0
CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks—0
Fusion approaches for emotion recognition from speech using acoustic and text-based features—0
Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices—0
Fusion with Hierarchical Graphs for Mulitmodal Emotion Recognition—0
Emotion Recognition based on Psychological Components in Guided Narratives for Emotion Regulation—0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition—0
CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation—0
Emotion recognition based on multi-modal electrophysiology multi-head attention Contrastive Learning—0
CNN based music emotion classification—0
Emotion Recognition and Generation: A Comprehensive Review of Face, Speech, and Text Modalities—0
CN-HIT-MI.T at SemEval-2020 Task 8: Memotion Analysis Based on BERT—0
GatedxLSTM: A Multimodal Affective Computing Approach for Emotion Recognition in Conversations—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations—0
Gaze-enhanced Crossmodal Embeddings for Emotion Recognition—0
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis—0
GEmo-CLAP: Gender-Attribute-Enhanced Contrastive Language-Audio Pretraining for Accurate Speech Emotion Recognition—0
General Purpose Textual Sentiment Analysis and Emotion Detection Tools—0
A Bilingual Attention Network for Code-switched Emotion Prediction—0
EmotionQueen: A Benchmark for Evaluating Empathy of Large Language Models—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