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aircraftnoise's Introduction

aircraftnoise

The code to accompany our technical report on aircraft noise monitoring.

Data

The raw data can be found in two csv files the data subdir, namely oml_final.csv and 400_community_events.csv. I read these into event2d objects where the 1/3 octave data is available as event.rawmat. See preprocess.py for an example of this.

Requirements

TensorFlow > 1.0.0, Python 2, numpy, matplotlib

Usage

If you would like to run training and see results on a hold-out set, navigate to the classifier subdir and run

make cvconvnet

This will train on 9/10 folds about 50 times and log the results.

Contact

Please contact Nicholas Heller at [email protected] if you have any questions about this work.

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