基于语音识别的信号分析仪控制系统设计与实现

Design and Implementation of Signal Analyzer Control System Based on Speech Recognition

为进一步提升信号分析仪的语音控制效果,研究一种基于深度学习算法的信号分析仪控制系统。以程控手册和用户习惯为基础建立训练集,通过语音识别、语义分析、指令映射等方式将语音输入转换成用于控制仪器的程控指令。实验结果表明,相较于命令词识别对比为基础的系统,基于语音识别的信号分析仪控制系统在识别准确率和响应时间上均有所改善,有效地扩展了信号分析仪的使用场景,增强了用户体验感。

In order to further improve the voice control effect of the signal analyzer,a signal analyzer control system based on deep learning algorithm is studied.Training sets are established based on programmed manuals and user habits,voice input is converted to programmed commands for controlling the instrument by means of speech recognition,semantic analysis,command mapping,etc.The experimental results show that compared with the system based on command word recognition,the signal analyzer control system based on speech recognition has improved the recognition accuracy and response time,which effectively expands the use scenario of the signal analyzer and enhances the user experience.