EdoardoMarchetti / MAVD-traffic

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MAVD-traffic

This repository includes the code and notebooks for generating the data and running the experiments reported in

Pablo Zinemanas, Pablo Cancela and MartĂ­n Rocamora. MAVD: a dataset for sound event detection in urban environments. DCASE 2019 Workshop.

Organization of the repository

The repository has the following folders:

  • mavd --> Main source files for data generation, network model and callbacks.
  • exps --> Folders with files of each experiment (weights, logs, results).
  • notebooks --> Jupyter notebooks for running the experiments.
  • utils --> Some useful scripts to work with the dataset.

About

License:MIT License


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Language:Jupyter Notebook 93.1%Language:Python 6.8%Language:Shell 0.1%