电子语音交互系统的设计与医学工程专业的教学应用

Design of electronic voice interactive system and teaching application of medical engineering specialty

目的 往复的疫情影响下,在线教育的优势越来越明显,电子语音交互系统发挥的作用越来越大,能够帮助学生学习专业知识,减轻老师教学压力。方法 文中基于STM32芯片进行助教机器人语音交互控制系统的设计,通过一个32位微处理器核心控制单元,建设了系统特有的医学工程、医学影像学等专业数据库,使得语音识别与合成功能得以实现。结果 进行非特定人语音识别测试后,结果显示系统在语音命令的平均识别率方面能够超过90%。结论 该系统对文本进行转换生成的语言兼具自然、流畅的特征,总体来看语音识别成效较好。通过2022年《医学影像设备学》的课程教学应用,取得了良好的效果。

【Objective】 Under the influence of the reciprocating COVID-19,the advantages of online education are becoming more obvious.The electronic voice interaction system plays an increasingly important role,which can help students learn professional knowledge and reduce teachers' teaching pressure.【Methods】 In this paper,based on STM32 chip,the teaching assistant robot voice interactive control system is designed.Through 32-bit microprocessor core control unit,unique medical engineering,medical imaging and professional databases are built,so that the functions of voice recognition and synthesis can be realized.【Results】 After the non-specific speech recognition test,the results show that the system can achieve average recognition rate of more than 90% of speech commands.【Conclusion】 The language generated by the system's conversion of text is both natural and fluent,and the speech recognition effect is generally better.Through the application of the course teaching of "Medical Imaging Equipment Science" in 2022,good effect has been obtained.