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A trivial approach for near-duplicate detection of audios

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AudioDup - Near-duplicate Detection of Audios

This repository presents my trivial approach for near-duplicate detection of audios, by generating acoustic fingerprints.

Setup Instructions

  • We assume that you have access to a computer with MacOS. However, you should generally be fine with any Unix/Linux-based systems as well.
  • Make sure you have installed Python 3.7 and the latest version of pipenv.
  • Install MySQL connector using brew install mysql-connector-c.
    • Fix a potential bug by this.
  • Install brew install portaudio && brew install ffmpeg.
  • Install all dependencies with pipenv install.
  • Setup a databset & user for the program:
CREATE DATABASE dejavu;
CREATE USER 'dejavu'@'localhost' IDENTIFIED BY 'dejavu';
GRANT ALL PRIVILEGES ON dejavu.* TO 'dejavu'@'localhost';

To Run the Program

  • Collect fingerprints by pipenv shell python3 collect.py.
  • Recognize sound from microphone by pipenv shell python3 recognize.py.

Testing

  • We would use the FMA Dataset to perform testing. To avoid wasting too much time & disk space, you do not have to download the whole dataset.
  • Put what you downloaded into the data folder.
  • Run pipenv shell python3 collect.py to collect all fingerprints.
  • Run pipenv shell python3 test.py to collect test results.

Licence

GNU General Public Licence 3.0

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  • Python 58.1%
  • HTML 31.6%
  • TSQL 10.3%