A Federated Learning Method for Real-time Emotion State Classification from Multi-modal Streaming
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Updated
Sep 15, 2022 - Python
A Federated Learning Method for Real-time Emotion State Classification from Multi-modal Streaming
This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.
Emotion Detection using Convolutional Neural Networks
Real time emotion recognition, using OpenCV and haarcascade algorithm for face detection from the video source, then I've done emotion recognition using a model trained on FER-2013 dataset with Tensorflow. and also as an other solution, I used DeepFace package for emotion recognition as a prefabricated solution.
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