A noise-robust synthetic spoofing speech detection method using activation function

Yang Man; Jian Zhihua; Liang Chenghan

doi:10.11959/j.issn.1000-0801.2026038

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A noise-robust synthetic spoofing speech detection method using activation function

Research and Development | 更新时间：2026-04-08

- A noise-robust synthetic spoofing speech detection method using activation function
- Telecommunications Science Vol. 42, Issue 3, Pages: 70-80(2026)
- 作者机构：
  
  杭州电子科技大学通信工程学院，浙江杭州 310018
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61201301;61772166)
- DOI：10.11959/j.issn.1000-0801.2026038
  CLC： TN912
- Received：19 June 2025，
  
  Revised：2025-09-08，
  
  Accepted：30 September 2025，
  
  Published：20 March 2026
- 稿件说明：
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杨曼,简志华,梁承涵.一种采用激活函数的具有噪声鲁棒性的合成伪造语音检测方法[J].电信科学,2026,42(03):70-80.

Yang Man,Jian Zhihua,Liang Chenghan.A noise-robust synthetic spoofing speech detection method using activation function[J].Telecommunications Science,2026,42(03):70-80.
杨曼,简志华,梁承涵.一种采用激活函数的具有噪声鲁棒性的合成伪造语音检测方法[J].电信科学,2026,42(03):70-80. DOI： 10.11959/j.issn.1000-0801.2026038.

Yang Man,Jian Zhihua,Liang Chenghan.A noise-robust synthetic spoofing speech detection method using activation function[J].Telecommunications Science,2026,42(03):70-80. DOI： 10.11959/j.issn.1000-0801.2026038.

摘要

在现实应用场景中，攻击者在伪造语音中加入加性噪声或者混响等干扰，会导致经纯净语音训练得到的检测系统性能急剧下降，为此，通过设计一种激活函数代替残差网络中的跳跃连接，实现了具有噪声鲁棒性的合成语音检测系统。通过分析不同激活函数对残差块跳跃连接的影响，将输入特征划分为非显著特征、显著特征和无法判断特征，提出了一个新的激活函数，并通过方差增长的算法来寻找激活函数的最优参数。实验结果表明，与现有方法相比，不仅显著降低了系统的等错误率，而且对噪声干扰具有很好的鲁棒性。

Abstract

In real-world application scenarios

attackers often add additive noise or reverberation and other interferences to the spoofing speech

which will cause the performance of the detection system trained with clean speech to drop sharply. Therefore

an activation function was designed to replace the skip connection in the residual network

thereby proposing a synthetic speech detection system with noise-robust. After analyzing the influence of different activation functions on the skip connection of the residual block

the input features were divided into non-significant features

significant features and undetermined features

and a novel activation function was proposed. The optimal parameters of the activation function were determined through the method of variance growth. Experimental results show that compared with existing methods

the method proposed not only significantly reduces the equal error rate of the system

but also has good robustness to noise interference.

关键词

Keywords

references

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