Faculty for Life Sciences, Professorship for Bioanalytics and Laboratory Automation, Albstadt-Sigmaringen University, Anton-Günther-Str. 51, 72488, Sigmaringen, Germany.
Sci Rep. 2023 Nov 9;13(1):19451. doi: 10.1038/s41598-023-46185-x.
Voice assistants are potentially helpful when working in a scientific laboratory. A big challenge is the extremely specific use of language in every laboratory. As with any voice assistant, another concern is data security. Here, we present Rainbow-an open source voice user interface (VUI) for scientific laboratories, that is adaptable to any Windows PC with Internet access. We used Google Translate Site (GTS) as a voice input and output system to ensure communication to the user. The scripting language AutoIt controls GTS, executes all actions and builds the VUI. Rainbow performs tasks from three different areas-general Microsoft Windows tasks, lab-specific tasks, and device-specific tasks. We achieved significantly higher speech recognition accuracy with our VUI than with GTS alone (91.3% versus 85.1%). Because of Rainbow's architecture, it is possible to improve the voice assistant in terms of functionality and accuracy, allowing each laboratory to optimize its own Rainbow system in a user-friendly way. In a test setup, this led to a speech recognition accuracy of 98.6%. Taken together, Rainbow provides an opportunity for every scientist to implement highly specific scientific terms and tasks to this open source voice assistant system in a very user-friendly way.
语音助手在科学实验室中可能会有所帮助。一个很大的挑战是实验室中语言的使用极其特定。与任何语音助手一样,另一个关注点是数据安全。在这里,我们提出了 Rainbow,这是一个适用于任何具有互联网访问权限的 Windows PC 的开源语音用户界面(VUI)。我们使用 Google 翻译网站(GTS)作为语音输入和输出系统,以确保与用户进行交流。脚本语言 AutoIt 控制 GTS,执行所有操作并构建 VUI。Rainbow 执行来自三个不同领域的任务-一般的 Microsoft Windows 任务、实验室特定的任务和设备特定的任务。与单独使用 GTS 相比,我们的 VUI 实现了更高的语音识别准确性(91.3%比 85.1%)。由于 Rainbow 的架构,可以在功能和准确性方面改进语音助手,从而使每个实验室都能够以用户友好的方式优化自己的 Rainbow 系统。在测试设置中,这导致语音识别准确性达到 98.6%。总的来说,Rainbow 为每位科学家提供了一个机会,以非常用户友好的方式将高度特定的科学术语和任务实现到这个开源语音助手系统中。