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This projects aims to perform sanity checks on a given location for an audio recording. Therefore, the background noise is analyzed and compared. This can be used to detect cuts by significant noise changes during a recording or for comparing the noise of different locations.

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pollti/P4FM

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Audio file classification using noise. Still under development.

Development

Requirements

Setup:

  • Create a virtualenv with virtualenv $name
  • Activate the virtualenv with source $name/bin/activate
  • Install all requirements with pip install -r requirements.txt

Save requirements with pip freeze > requirements.txt

Execution

Run main.py. In main(), functionalities can be disabled and parameters for files etc. can be specified.

Folder strucutre

/src: Source code

/Audio: Audio files

/results: Results (image files for spectrograms, audio files, logs, …)

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This projects aims to perform sanity checks on a given location for an audio recording. Therefore, the background noise is analyzed and compared. This can be used to detect cuts by significant noise changes during a recording or for comparing the noise of different locations.

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