通过双重对齐似然比检验，验证短视频音频是否被篡改。
Audio Cross Verification Using Dual Alignment Likelihood Ratio Test
- 用双重假设和对齐似然比判断音频是否篡改
- 比传统MFCC+欧氏距离更鲁棒且速度快
- 结果可解释，适合新闻视频真实性验证
本文针对从新闻录像中截取的短病毒视频音频，提出一种新的验证方法。不同于检测篡改痕迹（内部不一致），本方法通过外部一致性验证：将待验证音频与原始新闻录音进行交叉比对。核心思路是设定两个假设（未篡改/已篡改），分别计算查询音频与参考音频的最佳对齐路径，再基于两条对齐路径执行似然比检验。实验表明，该方法计算高效、远超传统MFCC特征结合欧氏距离的鲁棒性，并具备显著可解释性。该跨音频验证框架为现有篡改检测技术提供了互补视角。
原文摘要 · Abstract (English)
This paper explores a way to verify that audio has not been maliciously tampered in a specific context: short viral videos taken from news recordings. Rather than trying to detect artifacts of tampering (internal inconsistency), we focus on positively verifying a query against a trusted source such as a news recording (external consistency). We propose a method for cross verifying a short audio query against a reference recording from which it was taken. Our approach is to define two hypotheses (non-tampered vs tampered), calculate the most likely alignment between query and reference for each hypothesis, and then perform a likelihood ratio test on the two alignments. We show that this method is fast to compute, much more robust than using MFCC features with Euclidean distance, and has the key benefit of explainability. Our cross verification approach provides an alternative perspective and complementary tool to existing tampering detection methods.
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