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The Visual Microphone: Passive Recovery of Sound from Video

A Python implementation of MIT's Visual Microphone [1].

Our code is based on the original MATLAB version. It depends on OpenCV for handling videos, SciPy for signal processing and writing audio files and pyrtools [2] to compute complex steerable pyramids. Other requirements are NumPy and Matplotlib.

Usage

python video2sound.py [-h] [-o OUTPUT] [-s SAMPLING_RATE] input_video

positional arguments:
  input_video           The path of the input video

optional arguments:
  -h, --help            Show this help message and exit
  -o OUTPUT, --output OUTPUT
                        The path of the output file
  -s SAMPLING_RATE, --sampling-rate SAMPLING_RATE
                        The frame rate of the input video

Authors

Antonio Musolino and Davide Sforza.

References

[1] DAVIS, Abe, et al. The visual microphone: Passive recovery of sound from video. 2014.

[2] PORTILLA, Javier; SIMONCELLI, Eero P. A parametric texture model based on joint statistics of complex wavelet coefficients. International journal of computer vision, 2000, 40.1: 49-70.