When the curricula of engineering undergraduate programs are examined, it can be seen that experimentation plays a very important role and the learning outcomes of the courses are mostly dependent on practical abilities. However, there may be a few who cannot use their hands permanently or temporarily among the students who are attending these courses. Therefore, the participation of disabled students in this part of the course has always been a problem. In this paper, a remote laboratory application that aims to increase the accessibility of electronic circuit design and analysis courses by using speech recognition technology is introduced. This laboratory is designed for hands-free operation and enables students to analyze the electronic circuits by speaking. Google Web Speech API was used for speech recognition and the user interface was designed using Adobe Flash Professional. The parameters are sent to the ASP.NET page by using ActionScript 2.0 programming language. The application developed by using C# programming language enables programming the experimental hardware that includes a signal generator, a Raspberry Pi 2 with a camera, an oscilloscope, and a new test card. In the Raspberry Pi 2, Python programming language was used to select the desired experiment from those present on the board and to control digitally programmable circuit components such as digital potentiometers or parameters such as the DC reference voltage level. When the student successfully completes the predefined experimental procedures, an automatically generated e-mail is sent to the instructor including the student's username, log-in time, the oscilloscope screenshots, and ideal experimental results.

中文翻译：

---

使用语音识别技术为电子电路设计和分析课程开发远程实验室，提高可访问性

考察工科本科专业课程，可以看出，实验起到了非常重要的作用，课程的学习成果主要取决于实践能力。但是，在参加这些课程的学生中，可能有一些人无法永久或暂时使用双手。因此，残疾学生在这部分课程中的参与一直是一个问题。本文介绍了一种远程实验室应用，旨在通过使用语音识别技术提高电子电路设计和分析课程的可访问性。该实验室专为免提操作而设计，让学生可以通过说话来分析电子电路。Google Web Speech API 用于语音识别，用户界面使用 Adob​​e Flash Professional 设计。这些参数使用 ActionScript 2.0 编程语言发送到 ASP.NET 页。使用 C# 编程语言开发的应用程序可以对实验硬件进行编程，包括信号发生器、带摄像头的 Raspberry Pi 2、示波器和新测试卡。在 Raspberry Pi 2 中，Python 编程语言用于从板上现有的实验中选择所需的实验，并控制数字可编程电路组件（如数字电位器）或参数（如直流参考电压电平）。当学生成功完成预定义的实验程序时，自动生成的电子邮件将发送给包括学生在内的教师