Pixasonics: An image sonification toolbox for Python
Author(s)
Laczko, Balint
Jensenius, Alexander Refsum
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Abstract
Pixasonics is a new Python library for interactive image analysis and exploration through image sonification. It uses real-time audio and visualization to help uncover patterns in image data. With Pixasonics, users can launch one or more small web applications (running in a Jupyter Notebook), probe image data using various feature extraction methods, and map those feature vectors to synthesis parameters. The target users are researchers interested in exploring image and volumetric data and creative users who want an intuitive tool for experimental sound design. Pixasonics’ design aims to strike a balance between an easy-to-use web application with minimal boilerplate code necessary and a library that can be integrated into more advanced workflows. Real-time exploration is at the heart, but it can also be used to script non-real-time sonifications of large datasets. This paper presents Pixasonics, its structure, interface, and advanced features, and discusses preliminary feedback from biology researchers and music technologists.
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Date
2025-06
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Text
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Proceedings
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Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0)