Source code for "Try this model to quickly tell if it is a faulty motor by listening"

The repo contains the trainig data located in the data folder and a jupyter notebook for the tutorial.

You may also read my write up for more detail.

Updates

10/24/2017 You might also be interested in using MFCC feature as input to imporve audio classifier accuracy, read my write up here.

Tested with Python 3.5

Dependencies

numpy, pickle, tensorflow, scipy, pylab, sklearn, librosa

How to Run

Run the python notebook by cd into the directory in command line then run

jupyter notebook

Select either of those in the browser Acoustic_TF_LSTM_MFCC.ipynb model input is MFCCs Acoustic_TF_LSTM.ipynb model input is audio time series

Enjoy, leave a comment in my blog post if you have any question.