计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (6): 11-14.

• 博士论坛 • 上一篇    下一篇

垃圾网络电话检测技术研究

李邵梅,郭云飞,陈福才   

  1. 国家数字交换系统工程技术研究中心,郑州 450002
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2011-02-21 发布日期:2011-02-21

Research on SPIT detection

LI Shaomei,GUO Yunfei,CHEN Fucai   

  1. National Digital Switching System Engineering & Technological R&D Center,Zhengzhou 450002,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-02-21 Published:2011-02-21

摘要: 为了对电信网中的垃圾网络电话(SPIT)进行有效的检测,解决该项技术应用中面临的检测精度和检测效率之间的矛盾,基于SPIT呼叫的典型特征,提出了一种粗过滤和精判别相结合的检测方法。基于语音激活检测(VAD)对疑似SPIT进行快速筛选,基于支持向量机通过语音特征对SPIT进行精确识别。仿真实验结果表明,该方法计算代价小、检测效果好、实时性高,并且随着检测语音长度的增加,该方法的检测精度和实时倍率都有所增长。

关键词: 垃圾网络电话, 语音激活检测, VAD序列码, 支持向量机

Abstract: To efficiently detect SPIT calls in telecom network,and solve the contradiction between detection accuracy and efficiency,this paper proposes a new method combining filtering and exact recognition based on the analysis of SPIT characteristics.A simple decision based on VAD is firstly used to filter the suspected SPIT calls,then a SVM-based method is applied to detect the SPIT via speech feature finally.Experimental result shows that this method can efficiently detect SPIT calls with lower computation,which is helpful for real-time application.Moreover,the detection accuracy and real-time efficiency both increase while the speech length increasesing.

Key words: Spam Over Internet Telephony(SPIT), Voice Activity Detector(VAD), VAD series code, Support Vector Machine(SVM)