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Poster
SPEECH WATERMARKING BASED ON ROBUST PRINCIPAL COMPONENT ANALYSIS AND FORMANT MANIPULATIONS
- Citation Author(s):
- Submitted by:
- Shengbei WANG
- Last updated:
- 14 April 2018 - 6:16am
- Document Type:
- Poster
- Document Year:
- 2018
- Event:
- Presenters:
- Masashi UNOKI
- Paper Code:
- 1075
- Categories:
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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.