Application of Sound Recognition Technology in the Dynamic Early Warning of Communication Network Information
By studying the application of sound recognition technology in dynamic early warning of communication network information,a new method based on deep learning,natural language processing and big data analysis is proposed.This method uses deep learning model to extract speech features,uses natural language processing technology to convert speech into text,and finally uses big data analysis technology to detect anomalies.The experimental results show that this method can effectively improve the accuracy and efficiency of dynamic early warning of acoustic communication network information,and provide strong support for maintaining cyberspace security.
sound recognitioncommunication networkinformation dynamic early warning
NETL
NSTL
万方数据
