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 1–10 of 2041 papers
All datasetsEmomusicRAVDESSEMOTICFER2013MaSaC_ERCMPEDMSP-PodcastSEEDคลิปคุณพ่อให้ลูกสาวยืมโทรศัพท์และความสนุกสนาน
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | LogisticRegression on posteriors of xlsr-Wav2Vec2.0&bi-LSTM+Attention | Accuracy | 86.7 | — | Unverified |
| 2 | MultiMAE-DER | WAR | 83.61 | — | Unverified |
| 3 | Intermediate-Attention-Fusion | Accuracy | 81.58 | — | Unverified |
| 4 | Logistic Regression on posteriors of the CNN-14&biLSTM-GuidedST | Accuracy | 80.08 | — | Unverified |
| 5 | ERANN-0-4 | Accuracy | 74.8 | — | Unverified |