This project forked from ajhalthor/audio-classifier-convnet
This repository reconstructs the results based on this paper
We are going to create a Convolution Neural network to distinguish between different "sounds".
The Sounds we are going to distinguish are a part of the UrbanSound8K dataset. This consists of over 8,000 sounds of 10 categories:
Everything is in the jupyter notebook.
Here is my video that explains everything going on.
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