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crosscorrelizer

Numpy/SciPy-based implementation of cross-correlation for sound-source localization

To calibrate,

  • record sound files (wav format) with sound sources at different angles from your two-microphone system. Note the angle to the sound sources in the file names.
  • Update training_config.yaml; in particular update the regex for extracting the angle to the sound source from the sound files' names.
  • Run train.py to generate a calibration file.

That calibration file can then be used with crosscorrelizer.py to estimate the angle to a sound source from new wav files recorded with the same two-microphone system.

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Numpy/SciPy-based implementation of cross-correlation for sound-source localization

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