具有仿冒攻击检测的鲁棒性说话人识别

Robust Speaker Verification with Spoofing Attack Detection

仿冒攻击严重影响说话人识别系统的安全应用。文中提出了一种具有录音回放仿冒攻击检测能力的说话人识别系统,该系统采用前端攻击检测与后端说话人确认的串联结构,并通过信道频响分析和说话人个性特征分析提出了一种信道频响差强化倒谱系数(Channel frequency response Difference Enhancement Cepstral Coefficient,CDECC),该特征参数通过三阶多项式非线性频率尺度变换同时强化语音信号低频段和高频段的频谱分量,能够有效反映不同输入信道频率响应和不同说话人语音频谱的差异。基于ASVspoof 20172.0数据库的非特定说话人文本无关录音回放攻击检测的实验表明,采用CDECC的录音回放攻击检测等错率(EER)为25.03%,相比基线系统下降了10%。通过在说话人确认的前端嵌入录音回放攻击检测模块,说话人识别系统的错误接受率(FAR)明显下降,系统EER从3.32%下降为1.01%,鲁棒性得到有效提升。

Spoofing attacks seriously affect the security application of speaker verification system.This paper proposes a speaker verification system with replay attack detection capability,which has a series connection structure of front-end attack detection and back-end speaker verification.In addition,this paper proposes a channel frequency response difference enhancement cepstral coefficient(CDECC)through channel frequency response analysis and speaker personality analysis.The CDECC enhances the low and high frequency bands of the speech signal spectrum by the third-order polynomial nonlinear frequency transform,which can effectively reflect the channel frequency response difference of different input channels and the speech spectrum difference of different speakers.The speaker and text independent replay attack detection experiment based on ASVspoof 20172.0 dataset shows that the equal error rate(EER)of CDECC based replay attack detection is 25.03%,which is 10.00%lower than the baseline system.By embedding the replay attack detection module at the front end of the speaker verification,the speaker verification system’s false acceptance rate(FAR)is significantly reduced,the system’s EER is reduced from 3.32%to 1.01%,and the robustness is effectively improved.