重点探讨声音识别技术在计算机信息检测中的应用,通过阐述声音识别的基本原理,详细介绍声音识别在计算机信息检测中的应用流程,包括声音采集与预处理、特征提取、模式匹配与识别这 3 个主要步骤.实验结果表明,基于梅尔频率倒谱系数(Mel Frequency Cepstral Coefficients,MFCC)特征和支持向量机(Support Vector Machine,SVM)分类器的声音识别系统能够有效识别计算机使用过程中的正常操作声音和潜在威胁声音,为计算机安全监测提供了新的解决方案.
Research on the Application of Voice Recognition Technology in Computer Information Detection
This paper focuses on the application of voice recognition technology in computer information detection.By expounding the basic principle of voice recognition,the application process of voice recognition in computer information detection is introduced in detail,including three main steps:voice acquisition and preprocessing,feature extraction,pattern matching and recognition.The experimental results show that the sound recognition system based on Mel Frequency Cepstral Coefficients(MFCC)and Support Vector Machine(SVM)classifier can effectively identify normal operation sounds and potential threat sounds during computer use,which provides a new solution for computer security monitoring..
voice recognitioncomputer information detectionspeech feature extraction
NETL
NSTL
万方数据
