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This paper proposes a blind, inaudible, robust digital-audio watermarking scheme based on singular-spectrum analysis, which relates to watermarking techniques based on singular value decomposition. We decompose a host signal into its oscillatory components and modify amplitudes of some of those components with respect to a watermark bit and embedding rule. To improve the sound quality of a watermarked signal and still maintain robustness, differential evolution is introduced to find optimal parameters of the proposed scheme. Test results show that, although a trade-off between inaudibility and robustness still persists, the difference in sound quality between the original and the watermarked one is considerably smaller. This improved scheme is robust against many attacks, such as MP3 and MP4 compression, and band-pass filtering. However, there is a drawback, i.e., some music-dependent parameters need to be shared between embedding and extraction processes. To overcome this drawback, we propose a method for automatic parameter estimation. By incorporating the estimation method into the framework, those parameters need not to be shared, and the test results show that it can blindly decode watermark bits with an accuracy of 99.99%. This paper not only proposes a new technique and scheme but also discusses the singular value and its physical interpretation.
Jessada KARNJANA
Japan Advanced Insitute of Science and Technology,Thammasat University
Masashi UNOKI
Japan Advanced Insitute of Science and Technology
Pakinee AIMMANEE
Thammasat University
Chai WUTIWIWATCHAI
National Electronics and Computer Technology Center
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Jessada KARNJANA, Masashi UNOKI, Pakinee AIMMANEE, Chai WUTIWIWATCHAI, "Singular-Spectrum Analysis for Digital Audio Watermarking with Automatic Parameterization and Parameter Estimation" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 8, pp. 2109-2120, August 2016, doi: 10.1587/transinf.2016EDP7065.
Abstract: This paper proposes a blind, inaudible, robust digital-audio watermarking scheme based on singular-spectrum analysis, which relates to watermarking techniques based on singular value decomposition. We decompose a host signal into its oscillatory components and modify amplitudes of some of those components with respect to a watermark bit and embedding rule. To improve the sound quality of a watermarked signal and still maintain robustness, differential evolution is introduced to find optimal parameters of the proposed scheme. Test results show that, although a trade-off between inaudibility and robustness still persists, the difference in sound quality between the original and the watermarked one is considerably smaller. This improved scheme is robust against many attacks, such as MP3 and MP4 compression, and band-pass filtering. However, there is a drawback, i.e., some music-dependent parameters need to be shared between embedding and extraction processes. To overcome this drawback, we propose a method for automatic parameter estimation. By incorporating the estimation method into the framework, those parameters need not to be shared, and the test results show that it can blindly decode watermark bits with an accuracy of 99.99%. This paper not only proposes a new technique and scheme but also discusses the singular value and its physical interpretation.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDP7065/_p
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@ARTICLE{e99-d_8_2109,
author={Jessada KARNJANA, Masashi UNOKI, Pakinee AIMMANEE, Chai WUTIWIWATCHAI, },
journal={IEICE TRANSACTIONS on Information},
title={Singular-Spectrum Analysis for Digital Audio Watermarking with Automatic Parameterization and Parameter Estimation},
year={2016},
volume={E99-D},
number={8},
pages={2109-2120},
abstract={This paper proposes a blind, inaudible, robust digital-audio watermarking scheme based on singular-spectrum analysis, which relates to watermarking techniques based on singular value decomposition. We decompose a host signal into its oscillatory components and modify amplitudes of some of those components with respect to a watermark bit and embedding rule. To improve the sound quality of a watermarked signal and still maintain robustness, differential evolution is introduced to find optimal parameters of the proposed scheme. Test results show that, although a trade-off between inaudibility and robustness still persists, the difference in sound quality between the original and the watermarked one is considerably smaller. This improved scheme is robust against many attacks, such as MP3 and MP4 compression, and band-pass filtering. However, there is a drawback, i.e., some music-dependent parameters need to be shared between embedding and extraction processes. To overcome this drawback, we propose a method for automatic parameter estimation. By incorporating the estimation method into the framework, those parameters need not to be shared, and the test results show that it can blindly decode watermark bits with an accuracy of 99.99%. This paper not only proposes a new technique and scheme but also discusses the singular value and its physical interpretation.},
keywords={},
doi={10.1587/transinf.2016EDP7065},
ISSN={1745-1361},
month={August},}
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TY - JOUR
TI - Singular-Spectrum Analysis for Digital Audio Watermarking with Automatic Parameterization and Parameter Estimation
T2 - IEICE TRANSACTIONS on Information
SP - 2109
EP - 2120
AU - Jessada KARNJANA
AU - Masashi UNOKI
AU - Pakinee AIMMANEE
AU - Chai WUTIWIWATCHAI
PY - 2016
DO - 10.1587/transinf.2016EDP7065
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2016
AB - This paper proposes a blind, inaudible, robust digital-audio watermarking scheme based on singular-spectrum analysis, which relates to watermarking techniques based on singular value decomposition. We decompose a host signal into its oscillatory components and modify amplitudes of some of those components with respect to a watermark bit and embedding rule. To improve the sound quality of a watermarked signal and still maintain robustness, differential evolution is introduced to find optimal parameters of the proposed scheme. Test results show that, although a trade-off between inaudibility and robustness still persists, the difference in sound quality between the original and the watermarked one is considerably smaller. This improved scheme is robust against many attacks, such as MP3 and MP4 compression, and band-pass filtering. However, there is a drawback, i.e., some music-dependent parameters need to be shared between embedding and extraction processes. To overcome this drawback, we propose a method for automatic parameter estimation. By incorporating the estimation method into the framework, those parameters need not to be shared, and the test results show that it can blindly decode watermark bits with an accuracy of 99.99%. This paper not only proposes a new technique and scheme but also discusses the singular value and its physical interpretation.
ER -