CIF: Small: Nonintrusive Digital Speech Forensics: Source Identification and Content authentication

目前的数字媒体编辑软件允许恶意的业余用户对数字语音通信进行难以察觉的改变，这对“知识生命周期”造成了严重威胁。该提案旨在发展从数字语音内容中提取和可视化证据的理论、方法和工具，以用于媒体来源识别和内容认证。该策略将基于非侵入性媒体取证的重要范例。假设是物理设备和相关的信号处理链可能会留下可以通过统计方法检测到的内在“指纹”。假设清楚地表明了该项目的目的。

Current digital media editing software allows malicious amateur users to perform imperceptible alterations to digital speech communications This creates a serious threat to the "knowledge life cycle". The proposal seeks to develop theories, methods and tools for extracting and visualizing evidence from digital speech content for the purpose of media source identification and content authentication. The strategy will be based on the important paradigm of nonintrusive media forensics. The hypothesis is that the physical devices and associated signal processing chains may leave behind intrinsic "fingerprint" that are detectable by statistical methods. The hypothesis clearly indicates the purpose of the project.