speech-20
Emotion Recognition
3260 papers • 126 benchmarks • 313 datasets
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
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Benchmarks
These leaderboards are used to track progress in emotion-recognition-62
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RAVDESS
RAVDESS
Emomusic
Emomusic
MPED
MPED
Libraries
iUse these libraries to find emotion-recognition-62 models and implementations
5 papers 1,076
Datasets
No datasets available.
