Pixasonics: An image sonification toolbox for Python

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Bibliographic Details
Title: Pixasonics: An image sonification toolbox for Python
Authors: Laczko, Balint, Jensenius, Alexander Refsum
Publisher Information: International Community for Auditory Display (ICAD)
Publication Year: 2025
Collection: Georgia Institute of Technology: SMARTech - Scholarly Materials and Research at Georgia Tech
Description: Presented at the 30th International Conference on Auditory Display (ICAD 2025) ; 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.
Document Type: conference object
File Description: application/pdf
Language: unknown
Relation: https://hdl.handle.net/1853/79958; https://doi.org/10.21785/icad2025.074
DOI: 10.21785/icad2025.074
Availability: https://hdl.handle.net/1853/79958
https://doi.org/10.21785/icad2025.074
Rights: Creative Commons Attribution Non-Commercial 4.0 International (CC BY-NC 4.0) ; http://creativecommons.org/licenses/by-nc/4.0/
Accession Number: edsbas.AEA62EC1
Database: BASE
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