标题： STRAUSS：利用声音合成进行分析的工具与资源 显示英文标题

标题： STRAUSS: Sonification Tools & Resources for Analysis Using Sound Synthesis

摘要： 数据声化（Sonification），即使用非语言音频传达数据，是一种相对小众但正在增长的方法，在天文学、气候科学等多个专业领域展示数据时被采用。 STRAUSS Python 包旨在提供这样一个工具，它基于先前的方法，提供了一种强大的方式来探索表达数据的不同方法，并对输出音频及其格式有精细的控制。 STRAUSS 是一个免费的开源（FOSS）包，旨在允许灵活且有效的数据声化能够集成到数据工作流程中，类似于广泛使用的可视化包。 STRAUSS 的范围很广；它的设计目的是能够在为声化非常特定的数据集而创建的临时解决方案和高度技术性的作曲与声音设计工具之间架起桥梁，这些工具要么不适合用于声化，要么学习曲线陡峭。 该代码提供了多种声化方法以适用于各种情境（例如：科学教育、科学传播、技术数据分析等）。 为此，STRAUSS 配备了多种声化方法的例子以及预设配置，以支持“低门槛、高潜力”的方法。 STRAUSS 已被用于制作教育资源和分析工具。 显示英文摘要

摘要： 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.