Completed local binary pattern based speech anti-spoofing

Jian XU; Zhihua JIAN; Jiaqi YU; Yifan JIN; Lin YOU; Yunlu WANG

doi:10.11959/j.issn.1000-0801.2021108

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Completed local binary pattern based speech anti-spoofing

Topic: Integration of Communication and AI | 更新时间：2024-06-05

- Completed local binary pattern based speech anti-spoofing
- Telecommunications Science Vol. 37, Issue 5, Pages: 91-99(2021)
- 作者机构：
  
  1. 杭州电子科技大学通信工程学院，浙江杭州 310018
  2. 杭州电子科技大学网络空间安全学院，浙江杭州 310018
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021108
  CLC： TP391.42
- Published Online：2021-05，
  
  Published：20 May 2021
- 稿件说明：
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Jian XU, Zhihua JIAN, Jiaqi YU, et al. Completed local binary pattern based speech anti-spoofing[J]. Telecommunications science, 2021, 37(5): 91-99.
DOI：

Jian XU, Zhihua JIAN, Jiaqi YU, et al. Completed local binary pattern based speech anti-spoofing[J]. Telecommunications science, 2021, 37(5): 91-99. DOI： 10.11959/j.issn.1000-0801.2021108.

摘要

针对基于局部二进制模式（LBP）的伪装语音检测算法在检测语音转换的欺骗攻击时效果较差的情况，提出了一种基于完整局部二进制模式（CLBP）的伪装语音检测方法。利用变量Q变换（VQT）生成语音信号的语谱图并应用完整局部二进制模式提取语谱图中的纹理特征向量，再用该纹理特征向量训练真/伪语音分类器，实现伪装语音检测。实验结果表明，所提方法在检测语音转换的欺骗攻击时效果更好，并且当变量Q变换的附加参数γ值为50时，由完整局部二进制模式特征向量训练的基于径向基核函数的支持向量机具有最佳的伪装语音检测性能。

Abstract

In view of the fact that the disguised speech detection algorithm based on local binary pattern (LBP) is not effective in detecting the spoofing attack from voice conversion

an anti-spoofing method based on completed local binary pattern (CLBP) was proposed.In this method

the spectrogram of speech signals is generated by the variable Q transformation (VQT) and used to train the true/spoofed speech classifier

so as to perform the detection of disguised speech.The experimental results demonstrate that the proposed anti-spoofing method based on the CLBP in the detection of voice conversion deception is better than the LBP-based algorithm

and when the parameter γ in VQT is set to 50

the detection system based on CLBP and SVM-RBF has the best performance for anti-spoofing the disguise speech.

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references

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