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

Showing 20262041 of 2041 papers

TitleStatusHype
Visual Features for Linguists: Basic image analysis techniques for multimodally-curious NLPers0
Spanish DAL: A Spanish Dictionary of Affect in Language0
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation0
Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature0
Intention Analysis for Sales, Marketing and Customer Service0
Emotiphons: Emotion Markers in Conversational Speech - Comparison across Indian Languages0
Prior versus Contextual Emotion of a Word in a Sentence0
Lyrics, Music, and Emotions0
Demonstration of IlluMe: Creating Ambient According to Instant Message Logs0
A hierarchical approach with feature selection for emotion recognition from speech0
Building a Multimodal Laughter Database for Emotion Recognition0
A Parallel Corpus of Music and Lyrics Annotated with Emotions0
A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System0
Mining Sentiment Words from Microblogs for Predicting Writer-Reader Emotion Transition0
A Multilingual Natural Stress Emotion Database0
``You Seem Aggressive!'' Monitoring Anger in a Practical Application0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1M2D-CLAPEmoA77.4Unverified
2M2D2EmoA76.7Unverified
3M2DEmoA76.1Unverified
4Jukebox (Pre-training: CALM)EmoA72.1Unverified
5CLMR (Pre-training: contrastive)EmoA67.8Unverified
#ModelMetricClaimedVerifiedStatus
1LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+AttentionAccuracy86.7Unverified
2MultiMAE-DERWAR83.61Unverified
3Intermediate-Attention-FusionAccuracy81.58Unverified
4Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedSTAccuracy80.08Unverified
5ERANN-0-4Accuracy74.8Unverified
#ModelMetricClaimedVerifiedStatus
1CAGETop-3 Accuracy (%)14.73Unverified
2FocusCLIPTop-3 Accuracy (%)13.73Unverified
#ModelMetricClaimedVerifiedStatus
1VGG based5-class test accuracy66.13Unverified
#ModelMetricClaimedVerifiedStatus
1MaSaC-ERC-ZF1-score (Weighted)51.17Unverified
#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy40.34Unverified
#ModelMetricClaimedVerifiedStatus
1w2v2-L-robust-12Concordance correlation coefficient (CCC)0.64Unverified
#ModelMetricClaimedVerifiedStatus
14D-aNNAccuracy96.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN1'"1Unverified