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TFG - Bird Audio Detection

Based on the work of Michael T. Johnson,Narjes Bozorg, Sidrah Liaqat, Neenu Jose, Patrick Conrey, Anthony Tamasi Original work here: https://github.com/UKYSpeechLab/ukybirddet

Required Software:

  • Python version 3.6
  • Tensorflow-gpu (tested on v1.8)
  • Keras
  • other packages and dependencies listed in requirements.txt

Project directory structure

For running this project on the DCASE challenge 2018 data, follow this directory structure: (unzip the provided compressed files in the main project directory)

  • < project directory >/adaptation_files
  • < project directory >/labels
  • < project directory >/prediction
  • < project directory >/trained_model
  • < project directory >/workingfiles

The directory 'workingfiles' has four subdirectories that contain feature files.

  • < project directory >/workingfiles/features_baseline (download link)

In order to reproduce the results of this submission, place the python files in the main project directory and run in the following order:

  • birddet_baseline.py

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