[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 notebook] (https://github.com/aqibsaeed/Urban-Sound-Classification/blob/master/Urban%20Sound%20Classification%20using%20RNN.ipynb) with RNN implementation for Urban Sound Classification.
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].
Another related dataset that can be used is Google's AudioSet.