By Zhijun Wu
Within the electronic global, the necessity to defend communications raises each day. whereas conventional electronic encryption equipment are valuable, there are lots of different ideas for hiding your details. info Hiding in Speech indications for safe conversation offers a few ways to disguise mystery speech info utilizing a number of electronic speech coding criteria. Professor Zhijun Wu has carried out years of study within the box of speech info hiding, and brings his state of the art ideas to readers of this booklet, together with a mathematical version for info hiding, the center techniques of safe speech conversation, the ABS-based details hiding set of rules, and lots more and plenty more.
This ebook indicates tips on how to enforce a safe speech verbal exchange process, together with purposes to numerous community protection states. Readers will locate info hiding algorithms and strategies (embedding and extracting) which are able to withstanding the complicated types of assault. The booklet provides strategies and purposes for all the most generally used speech coding criteria, together with G.711, G.721, G.728, G.729 and GSM, in addition to corresponding hiding and extraction algorithms. Readers also will the right way to use a speech covert verbal exchange method over an IP community in addition to a speech safe communique approach utilized in PSTN.
offers info hiding concept and the mathematical version used for info hiding in speech.
offers a couple of how you can cover mystery speech details utilizing the commonest electronic speech coding standards.
a mix of perform and conception allows programmers and procedure designers not just to enforce attempted and precise encryption approaches, but in addition to think about possible destiny advancements of their designs.
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Extra resources for Information Hiding in Speech Signals for Secure Communication
Sample text
00002-1 Copyright © 2015 Science Press. Published by Elsevier Inc. All rights reserved 27 28 CHAPTER 2 The Information Hiding Model communication. From a communication point of view, the model used for copyright protection is static; the operations of watermarking embedding and extracting are performed independently, and there are no real-time requirements between them. Once the watermarking is embedded into the protected media at the sender end and transmitted to the receiver end, the watermarking can be extracted at any time for the purpose of verification.
The requirements of information hiding are mainly dependent on the hiding and extraction algorithm performance. In order to achieve the two requirements mentioned previously, hiding and extraction modules are two key issues to consider in the model design. 2 [22,113,114]. 2 are described as follows: • Public Data X (or original information) refers to the data that has not been embedded with secret data (or secret information). It is the carrier for secret data and it may be plain text or original data.
The distortion in the frequency spectrum between original secret speech M(k) and extracted secret speech Mˆ ( k ) is measured by Itakura distance [120]: A R BT d k ( Ak , Bk ) = ln k k kT , A k R k Ak where T means the transpose of a matrix. The segment average Itakura distance DM is obtained [120]: DM = 1 N Frame N Frame −1 ∑ dk ( Ak , Bk ) , k =0 where NFrame is the frame number of secret speech. Smaller DM means that the speech quality change between original secret speech M and extracted secret speech Mˆ is small.