STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909606935003136 |
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| author | Trayford, James W. Youles, Samantha Harrison, Chris Shepherd, Rose Bonne, Nicolas |
| author_facet | Trayford, James W. Youles, Samantha Harrison, Chris Shepherd, Rose Bonne, Nicolas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_01660 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis Trayford, James W. Youles, Samantha Harrison, Chris Shepherd, Rose Bonne, Nicolas Instrumentation and Methods for Astrophysics Sound Data Analysis, Statistics and Probability 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. |
| title | STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis |
| topic | Instrumentation and Methods for Astrophysics Sound Data Analysis, Statistics and Probability |
| url | https://arxiv.org/abs/2504.01660 |