Robust Speech Hashing for Content Authentication

被引：17
|
作者：
Jiao, Yuhua [1 ]
Ji, Liping [2 ]
Niu, Xiamu [1 ]
机构：
[1] Harbin Inst Technol, Informat Countermeasure Tech Res Inst, Harbin 150080, Peoples R China
[2] Shenzhen Grad Sch, Harbin Inst Technol, Informat Secur Res Ctr, Shenzhen 518055, Peoples R China
来源：
IEEE SIGNAL PROCESSING LETTERS | 2009年 / 16卷 / 09期
基金：
中国国家自然科学基金;
关键词：
Content-based authentication; LSF; robust hashing; speech;
D O I：
10.1109/LSP.2009.2025827
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Robust hashing for multimedia authentication is an emerging research area. A novel key-dependent robust speech hashing based on speech production model is proposed in this letter. Robust hash is calculated based on linear spectrum frequencies (LSFs) which model the vocal tract. The correlation between LSFs is decoupled by discrete cosine transformation (DCT). A randomization scheme controlled by a secret key is applied in hash generation for random feature selection. The hash function is key-dependent and collision resistant. Meanwhile, it is highly robust to content preserving operations as well as having high accuracy of tampering localization.
引用
收藏
页码：818 / 821
页数：4
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