Design and Implementation of Signal Analyzer Control System Based on Speech Recognition
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.
signal analyzerspeech recognitionsemantic analysissimilarity matching
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