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CLC number: TP309.7
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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Adaptive audio watermarking based on SNR in localized regions
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WU Guo-min, ZHUANG Yue-ting, WU Fei, PAN Yun-he. Adaptive audio watermarking based on SNR in localized regions[J]. Journal of Zhejiang University Science A, 2005, 6(100): 53-57.
@article{title="Adaptive audio watermarking based on SNR in localized regions",
author="WU Guo-min, ZHUANG Yue-ting, WU Fei, PAN Yun-he",
journal="Journal of Zhejiang University Science A",
volume="6",
number="100",
pages="53-57",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.AS0053"
}
%0 Journal Article
%T Adaptive audio watermarking based on SNR in localized regions
%A WU Guo-min
%A ZHUANG Yue-ting
%A WU Fei
%A PAN Yun-he
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 100
%P 53-57
%@ 1673-565X
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.AS0053
TY - JOUR
T1 - Adaptive audio watermarking based on SNR in localized regions
A1 - WU Guo-min
A1 - ZHUANG Yue-ting
A1 - WU Fei
A1 - PAN Yun-he
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 100
SP - 53
EP - 57
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2005.AS0053
Abstract: In this paper, a novel localized audio watermarking scheme based on signal to noise ratio (SNR) to determine a scaling parameter a is proposed. The basic idea is to embed watermark in selected high inflexion regions, and the intensity of embedded watermarks are modified by adaptively adjusting a. As these high inflexion local regions usually correspond to music edges like sound of percussion instruments, explosion or transition of mixed music, which represent the music rhythm or tempo and are very important to human auditory perception, the embedded watermark is especially expected to escape the distortions caused by time domain synchronization attacks. Taking advantage of localization and SNR, the method shows strong robustness against common problems in audio signal processing, random cropping, time scale modification, etc.
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