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:
- Children playing
- Dog Barking
- Jackhammer
- Running Engine
- Air conditioner
- Street music
- Gun shots
- Siren
- Drilling
- Car Horn
Everything is in the jupyter notebook.
Here is my video that explains everything going on.