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Binary Image to Audio Converter

Introduction

The Binary Image to Audio Converter is a Python script designed to convert binary images into audio files. It provides a simple command-line interface with various configurable options to customize the generated audio.

Usage

python binary_image_to_audio.py [--image_path IMAGE_PATH] [--min_random_freq MIN_RANDOM_FREQ]
                               [--max_random_freq MAX_RANDOM_FREQ] [--beep_duration_ms BEEP_DURATION_MS]
                               [--silence_duration_ms SILENCE_DURATION_MS] [--varied_tones] [--constant_freq CONSTANT_FREQ]

Arguments

--image_path: Path to the binary image file for audio conversion. (Default: "WolframRule30.png")

--min_random_freq: Minimum frequency for random tone generation in Hz. (Default: 400)

--max_random_freq: Maximum frequency for random tone generation in Hz. (Default: 4000)

--beep_duration_ms: Duration of each beep in milliseconds. (Default: 100)

--silence_duration_ms: Duration of silence between beeps in milliseconds. (Default: 50)

--varied_tones: Use this flag if you want the generated audio to have varied tones.

--constant_freq: Constant frequency for audio generation in Hz (if not using varied tones) (Default: 440)

--display_image: Use this flag if you want print the binary image array to the console. It will print a '0' for a black pixel and '1' for a whte pixel

Examples

  • Convert a binary image to audio with default settings:
python binary_image_to_audio.py
  • Convert a binary image to audio with custom parameters:
python binary_image_to_audio.py --min_random_freq 200 --max_random_freq 3000 --beep_duration_ms 150 --silence_duration_ms 60
  • Convert a binary image to audio with constant frequency tone of 800 Hz:
python binary_image_to_audio.py --constant_freq 880
  • Convert a binary image to audio with varied tones randomly betwwen 200 Hz and 3000 Hz:
python binary_image_to_audio.py --varied_tones min_random_freq 200 --max_random_freq 3000

Acknowledgements