计算机工程

• 安全技术 • 上一篇    下一篇

基于梅尔频率倒谱系数与动态时间规整的安卓声纹解锁系统

陈锦飞,徐欣   

  1. (杭州电子科技大学 通信工程学院,杭州 310018)
  • 收稿日期:2016-03-08 出版日期:2017-02-15 发布日期:2017-02-15
  • 作者简介:陈锦飞(1990—),男,硕士研究生,主研方向为信息安全;徐欣,教授。

Android Voiceprint Unlocking System Based on Mel Frequency Cepstrum Coefficient and Dynamic Time Warping

CHEN Jinfei,XU Xin   

  1. (College of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310018,China)
  • Received:2016-03-08 Online:2017-02-15 Published:2017-02-15

摘要: 安卓设备通常采用数字或图形密码解锁,但此类口令形式的密码安全性不高,而且部分安卓版本存在锁屏绕过漏洞的问题。为此,设计一种利用用户声纹特征的安卓解锁系统。采用梅尔频率倒谱系数提取声纹特征,使用动态时间规整算法进行文本相关的声纹模式匹配,并结合安卓NDK技术实现快速声纹识别。实验结果表明,该系统具有较高的解锁成功率和较快的解锁速度,相比数字或图形解锁,声纹解锁安全性更高,用户体验更好。

关键词: 梅尔频率倒谱系数, 动态时间规整, 声纹识别, 安卓系统, 声纹解锁

Abstract: Android devices usually use digital or graphical password for unlocking screen,but such form of password is not safe enough,and some versions of Android exist keyguard bypass vulnerability.Therefore,this paper designs an Android keyguard system which uses user’s unique voiceprint feature to unlock screen.This paper uses Mel Frequency Cepstrum Coefficient(MFCC) as the voiceprint feature and Dynamic Time Warping(DTW) for voiceprint pattern matching,and uses Android NDK technology to achieve quick voiceprint recognition.Experimental results show that this voiceprint keyguard system has a good unlocking success rate and unlocking speed,and compared with digital or graphical unlocking,unlocking screen with voiceprint is safer and gives users a better experience.

Key words: Mel Frequency Cepstrum Coefficient(MFCC), Dynamic Time Warping(DTW), voiceprint recognition, Android system, voiceprint unlocking

中图分类号: