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SPEECH WATERMARKING BASED ON ROBUST PRINCIPAL COMPONENT ANALYSIS AND FORMANT MANIPULATIONS

Citation Author(s):
Shengbei WANG, Weitao YUAN, Jianming WANG, Masashi UNOKI
Submitted by:
Shengbei WANG
Last updated:
14 April 2018 - 6:16am
Document Type:
Poster
Document Year:
2018
Event:
Presenters:
Masashi UNOKI
Paper Code:
1075
 

Motivation:
Speech signal is an important information carrier in many social applications such as WeChat and GoogleTalk;
Modern digital technologies have put the security of speech at risk.
Solution: Watermarking is a promising solution to protect the speech signals by embedding digital data into them [1, 2].
Problem:
Many existing methods cannot satisfy the requirements of watermarking, e.g., inaudibility and robustness, simultaneously;
It is easy to extract the watermarks in ideal situations (without noise/ interferences), but when there are noise/interferences, the embedded watermarks will fail to extract.
Aim: Realize a watermarking method based on RPCA and formantmanipulations that can satisfy both inaudibility and robustness.

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