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

CIF：小型：非侵入式数字语音取证：源识别和内容身份验证

• 批准号: 0917104
• 负责人: Carol Espy-Wilson
• 金额: $ 49.99万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0917104&HistoricalAwards=false
• 关键词: CIF; Small; Nonintrusive; Digital; Speech

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.

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不知不觉的修改，这对“知识生命周期”造成了严重威胁。 该提案旨在开发从数字语音内容中提取和可视化证据的理论、方法和工具，以用于媒体源识别和内容认证。该战略将以非侵入性媒体取证的重要范例为基础。假设是物理设备和相关联的信号处理链可能会留下可通过统计方法检测到的固有“指纹”。该假设清楚地表明了该项目的目的。