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Automatic analysis and visualization of urban soundscapes

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Samochart

Automatic analysis and visualization of urban soundscapes

OVERVIEW

This package contains:

  • python functions that compute descriptors of environmental sound detection in a corpus of sound.
  • HTML and javascript code to visualise a field recording corpus

DEPENDENCIES

To run the package, you need to install python 2.7, and the following python modules: numpy, scipy and scikits.

  • Installing dependencies on Mac OS X:

install Xcode install homebrew -> http://brew.sh/ cmd: brew install gcc libsndfile cmd: brew install python --framework cmd: pip install numpy scipy install scikit-audioloab from source http://scikits.appspot.com/audiolab

  • Installing dependencies on Linux:

sudo apt-get install python-numpy python-scipy install scikit-audioloab from source http://scikits.appspot.com/audiolab

INSTRUCTIONS

This package contains functions to extract descriptors on the following sound events: motor, footstep, horn. To run the extraction of all the descriptors, run 'python main.py -MFH'

To visualize the TM-charts of the audio files, launch 'plot_™-CIESS.html', and browse files from the annotation folder.

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