Acoular: accessible and reproducible sound localization in Python

Acoular是一个用于分析来自麦克风阵列的多声道信号的开放的Python包，它为声源定位、声场可视化和高级数据过滤等任务提供了算法。它广泛应用于声学测试领域和相关的机器学习应用。该提案旨在将用户基础扩大到机器人、超声波和水力声学等相关领域，并为未来以社区为基础的发展创造一个可持续的基础。预计将开展以下工作：用更好的代码测试覆盖率改进当前的持续集成过程，以解决质量保证和结果的再现性问题；重构一些子模块以支持新的用例并与其他研究软件接口；制定更严格的发布和弃用战略以及贡献准则；用更多的实际例子和基准数据集扩展文档，并扩展对潜在用户的培训。

Acoular is an open Python package for the analysis of multichannel signals from microphone arrays that provides algorithms for tasks such as sound source localization, sound field visualization, and advanced data filtering. It is widely used in the acoustic testing community and for related machine learning applications. The proposal aims to extend the user base to related fields such as robotics, ultrasound and hydro-acoustics and also to create a sustainable basis for future community-based development. The following work is foreseen: improve the current continuous integration process with a better test coverage of the code to address both quality assurance and reproducibility of results, refactor some sub-modules to enable new use cases and interfacing with other research software, develop more strict release and deprecation strategies as well contribution guidelines, extend the documentation with much more worked examples and benchmark data sets and extend training for potential users.