Urban sound sound classification

This is a continuation of many different sources of Urban sound classification implementations

Usage

1. Put the UrbanSound8K folder in the same folder as the scripts (or create a link to the folder)
2. Create the following folders
   • models
   • summary
   • upload
   • processed_audio
3. Run pip install -r requirements.txt
   • pip install tensorflow-gpu if you want to use your graphics card
     • note that additional software might be required for tensorflow-gpu to work
4. Run the scripts in the following order
   1. feature_extraction.py
   2. feature_merge.py
   3. model_creator.py
5. The model is now created and is ready to be used for classifying sounds
6. Follow the instructions in urban_sound_classifier.py to start the flask server
7. Classify sound files by using sound_poster.py <path to soundfile.wav>