maelfabien/Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Combines separate deep learning models for facial expressions (FER2013), speech prosody (RAVDESS), and text sentiment (Stream-of-consciousness dataset) into an ensemble classifier that fuses predictions across modalities. Deployed as a Flask web application enabling real-time inference on job interview recordings, with pre-trained weights and processed datasets publicly available for reproducibility.
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Apr 29, 2021
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