Skip to main content

Draw Images into Spectrograms

Project description

SpectroGraphic

Turn any image into a sound whose spectrogram looks like the image!

result


What is this?

Most sounds are intricate combinations of many acoustic waves each having different frequencies and intensities. A spectrogram is a way to represent sound by plotting time on the horizontal axis and the frequency spectrum on the vertical axis. Sort of like sheet music on steroids.

What this tool does is, taking an image and simply interpreting it as a spectrogram. Therefore, by generating the corresponding sound, we have embedded our image in a spectrogram.

The game DOOM used a similar technique to hide satanic figures inside its soundtrack. Now everyone can do the same! 😊

Set-up

Get the command-line tool spectrographic via pip by running pip install spectrographic. You can also simply use spectrographic.py from stand-alone\ as a command-line tool directly. Furthermore, make sure you meet all the dependencies inside the requirements.txt. Install them with pip install requirements.txt.

After installation with pip one simply needs to run spectrographic [...] in the console and with the stand-alone script you have to use python spectrographic.py [...] inside the folder containing spectrographic.py.

You could also simply import the SpectroGraphic class from spectrographic. Check the doc-strings for detailed explanations and more features.

Command-line tool usage

usage: spectrographic [-h] [--version] -i PATH_TO_IMAGE [-d DURATION] [-m MIN_FREQ] [-M MAX_FREQ] [-r RESOLUTION] [-c CONTRAST] [-p] [-s SAVE_FILE]

Turn any image into sound.

optional arguments:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  -i PATH_TO_IMAGE, --image PATH_TO_IMAGE
                        Path of image that we want to embed in a spectrogram.
  -d DURATION, --duration DURATION
                        Duration of generated sound.
  -m MIN_FREQ, --min_freq MIN_FREQ
                        Smallest frequency used for drawing the image.
  -M MAX_FREQ, --max_freq MAX_FREQ
                        Largest frequency used for drawing the image.
  -r RESOLUTION, --resolution RESOLUTION
                        Vertical resolution of the image in the spectrogram.
  -c CONTRAST, --contrast CONTRAST
                        Contrast of the image in the spectrogram.
  -p, --play            Directly play the resulting sound.
  -s SAVE_FILE, --save SAVE_FILE
                        Path to .wav file in which to save the resulting sound.

Thus, if you have the source image at ./source.png and you want to generate a 10s long sound in the frequency range of 10kHz to 20kHz. You also want to save the resulting .wav-file as sound.wav and also play the resulting sound. Then you need to run:

spectrographic --image ./source.png --min_freq 10000 --max_freq 20000 --duration 10 --save sound.wav --play

or if you are using the stand-alone script:

python spectrographic.py --image ./source.png --min_freq 10000 --max_freq 20000 --duration 10 --save sound.wav --play

Contribute

Bug reports, fixes and additional features are always welcome! Make sure to run the tests with python setup.py test and write your own for new features. Thanks.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spectrographic-0.9.3.tar.gz (5.6 MB view details)

Uploaded Source

File details

Details for the file spectrographic-0.9.3.tar.gz.

File metadata

  • Download URL: spectrographic-0.9.3.tar.gz
  • Upload date:
  • Size: 5.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2.post20191203 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.7.3

File hashes

Hashes for spectrographic-0.9.3.tar.gz
Algorithm Hash digest
SHA256 374f1eaeead348ee73147e7ba3ebf4ded8925c66dab2861b1f6572ab81a5a613
MD5 fba1289a9e78e47418be248eea94c9f0
BLAKE2b-256 6ccd5ef7c8e1d53b1d0df1a6507b267ca3bbca889bcb83395d5ddb72d6b7080e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page