Name		Name	Last commit message	Last commit date
api		api
client		client
datasets		datasets
model		model
recordings		recordings
.gitattributes		.gitattributes
.gitignore		.gitignore
1__explore_data.ipynb		1__explore_data.ipynb
2__feature_extract.ipynb		2__feature_extract.ipynb
3__baseline_model.ipynb		3__baseline_model.ipynb
4__apply_to_new_data.ipynb		4__apply_to_new_data.ipynb
5__data_augmentation.ipynb		5__data_augmentation.ipynb
6__2D_CNN_implementation.ipynb		6__2D_CNN_implementation.ipynb
7__real_time_processing.ipynb		7__real_time_processing.ipynb
LICENSE		LICENSE
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
PyAudio-0.2.11-cp37-cp37m-win_amd64.whl		PyAudio-0.2.11-cp37-cp37m-win_amd64.whl
PyAudio-0.2.11-cp39-cp39-win_amd64.whl		PyAudio-0.2.11-cp39-cp39-win_amd64.whl
README.md		README.md
Utils.py		Utils.py
requirements.txt		requirements.txt

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Speech_Emotion_Recognition

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Web app to detect emotion from speech using a 67% accuracy model built with 2D ConvNets trained on RAVDESS & SAVEE datasets

convolutional-neural-network data-science deep-learning emotion-recognition flask ravdess-dataset reactjs savee speech-recognition

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