[Python notebook] (https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Urban%20Sound%20Classification%20using%20NN.ipynb) for blog post [Urban Sound Classification using Neural Network] (http://aqibsaeed.github.io/2016-09-03-urban-sound-classification-part-1/).

[Python notebook] (https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Urban%20Sound%20Classification%20using%20CNN.ipynb) for blog post [Urban Sound Classification using Convolutional Neural Network] (http://aqibsaeed.github.io/2016-09-24-urban-sound-classification-part-2/).

Python 2.7 is used during development and following libraries are required to run the code provided in the notebook:

• Tensorflow
• Numpy
• Matplotlib
• Librosa

The UrbanSound8k dataset used for model training, can be downloaded from the following [link]

Note: This is work in progress to employ deep learning for automatic categorization of environmental sounds.