网络与信息安全学报2026，Vol.12Issue(4)：90-101,12.DOI:10.11959/j.issn.2096-109x.AQ26056
基于双流网络与校准增强的LPC语音隐写分析方法
LPC speech steganalysis method based on dual-stream network and calibration enhancement
摘要
Abstract
Network speech stream steganalysis is a research hotspot in the field of information hiding.To address the issues in linear predictive coding(LPC)-based speech steganalysis,such as strong coupling between content and perturbation,difficulty in characterizing local weak anomalies,and performance degradation in complex scenarios,proposes a dual-stream network with calibration enhancement for LPC speech steganalysis.The proposed method constructs a parallel dual-stream framework consisting of an original stream and a calibration stream,and sup-presses interference from speech content through contrastive modeling.The calibration stream adopts Gaussian sta-tistical perturbation and requantization strategies to approximately simulate the recompression effect in speech cod-ing.Furthermore,a perception separation block is designed to decouple inter-frame correlations and channel-wise statistical dependencies in the quantized index sequence,and a multi-scale attention mechanism is introduced to en-hance discriminative feature representation.The results of performance evaluation indicate that under complex sce-narios such as low embedding rates and short samples,the proposed method achieves higher detection accuracy than existing mainstream methods,strikes a better balance among detection accuracy,false alarm rate,and missed detection rate,and exhibits strong comprehensive detection performance and robustness.关键词
网络语音流/语音隐写分析/线性预测编码/双流网络/多尺度特征建模Key words
network speech stream/speech steganalysis/linear predictive coding/dual-stream network/multi-scale feature modeling分类
信息技术与安全科学引用本文复制引用
王钟江,田晖,汤莉莉..基于双流网络与校准增强的LPC语音隐写分析方法[J].网络与信息安全学报,2026,12(4):90-101,12.基金项目
国家自然科学基金资助项目(No.62572202) （No.62572202）
福建省科技兴警科研专项项目(No.2025Y0068)The National Natural Science Foundation of China(No.62572202),Funds for the Innovation of Policing Sci-ence and Technology,Fujian province(No.2025Y0068) （No.2025Y0068）
