Spread Spectrum Audio Watermarking Using Multiple Orthogonal PN Sequences and Variable Embedding Strengths and Polarities

Xiang, Y; Natgunanathan, I; Peng, D; Hua, G; Liu, B

Spread Spectrum Audio Watermarking Using Multiple Orthogonal PN Sequences and Variable Embedding Strengths and Polarities

Xiang, Y Natgunanathan, I Peng, D Hua, G Liu, B

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE/ACM Transactions on Audio Speech and Language Processing, 2018, 26, (3), pp. 529-539
Issue Date:: 2018-03-01

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Field	Value	Language
dc.contributor.author	Xiang, Y
dc.contributor.author	Natgunanathan, I
dc.contributor.author	Peng, D
dc.contributor.author	Hua, G
dc.contributor.author	Liu, B https://orcid.org/0000-0002-3603-6617
dc.date.accessioned	2022-09-03T07:30:32Z
dc.date.available	2022-09-03T07:30:32Z
dc.date.issued	2018-03-01
dc.identifier.citation	IEEE/ACM Transactions on Audio Speech and Language Processing, 2018, 26, (3), pp. 529-539
dc.identifier.issn	2329-9290
dc.identifier.issn	2329-9304
dc.identifier.uri	http://hdl.handle.net/10453/161265
dc.description.abstract	Copyright protection of audio data is a serious problem and spread spectrum (SS) based audio watermarking is a promising technology to tackle this problem. Although a number of SS-based audio watermarking methods have been reported in the literature, they cannot achieve high robustness and embedding capacity at the same time. In this paper, we propose a novel SS-based audio watermarking method that can embed a large number of watermark bits into an audio signal without compromising the robustness against common attacks. Compared with the existing audio watermarking methods, the proposed one is especially robust against severe noise addition and compression attacks, while achieving high embedding capacity. Moreover, the new audio watermarking method is computationally efficient. The validity of the proposed SS-based audio watermarking method is demonstrated by simulation results.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE/ACM Transactions on Audio Speech and Language Processing
dc.relation.isbasedon	10.1109/TASLP.2017.2782487
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Speech-Language Pathology & Audiology
dc.title	Spread Spectrum Audio Watermarking Using Multiple Orthogonal PN Sequences and Variable Embedding Strengths and Polarities
dc.type	Journal Article
utslib.citation.volume	26
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-03T07:30:31Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	3

Abstract:

Copyright protection of audio data is a serious problem and spread spectrum (SS) based audio watermarking is a promising technology to tackle this problem. Although a number of SS-based audio watermarking methods have been reported in the literature, they cannot achieve high robustness and embedding capacity at the same time. In this paper, we propose a novel SS-based audio watermarking method that can embed a large number of watermark bits into an audio signal without compromising the robustness against common attacks. Compared with the existing audio watermarking methods, the proposed one is especially robust against severe noise addition and compression attacks, while achieving high embedding capacity. Moreover, the new audio watermarking method is computationally efficient. The validity of the proposed SS-based audio watermarking method is demonstrated by simulation results.

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http://hdl.handle.net/10453/161265