English

STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis

Instrumentation and Methods for Astrophysics 2025-05-13 v1 Sound Data Analysis, Statistics and Probability

Abstract

Sonification, or conveying data using non-verbal audio, is a relatively niche but growing approach for presenting data across multiple specialist domains including astronomy, climate science, and beyond. The STRAUSS Python package aims to provide such a tool, which builds upon previous approaches to provide a powerful means to explore different ways of expressing data, with fine control over the output audio and its format. STRAUSS is a free, open source (FOSS) package, designed to allow flexible and effective sonification to be integrated into data workflows, in analogy to widely used visualisation packages. The remit of STRAUSS is broad; it is intended to be able to bridge between ad-hoc solutions for sonifying very particular datasets, and highly technical compositional and sound-design tools that are not optimised for sonification, or may have a steep learning curve. The code offers a range of approaches to sonification for a variety of contexts (e.g. science education, science communication, technical data analysis, etc). To this end, STRAUSS is packaged with a number of examples of different sonification approaches, and preset configurations to support "low-barrier, high-ceiling" approach. STRAUSS has been used to produce both educational resources and analysis tools.

Keywords

Cite

@article{arxiv.2504.01660,
  title  = {STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis},
  author = {James W. Trayford and Samantha Youles and Chris Harrison and Rose Shepherd and Nicolas Bonne},
  journal= {arXiv preprint arXiv:2504.01660},
  year   = {2025}
}

Comments

4 pages, linking to documentation on ReadTheDocs (https://strauss.readthedocs.io/en/latest/)

R2 v1 2026-06-28T22:43:47.710Z