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Spread spectrum-based high embedding capacity watermarking method for audio signals

Xiang, Yong, Natgunanathan, Iynkaran, Rong, Yue and Guo, Song 2015, Spread spectrum-based high embedding capacity watermarking method for audio signals, IEEE-ACM transactions on audio speech and language processing, vol. 23, no. 12, pp. 2228-2237.

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Title Spread spectrum-based high embedding capacity watermarking method for audio signals
Author(s) Xiang, Yong
Natgunanathan, Iynkaran
Rong, Yue
Guo, Song
Journal name IEEE-ACM transactions on audio speech and language processing
Volume number 23
Issue number 12
Start page 2228
End page 2237
Total pages 10
Publisher IEEE
Place of publication Piscataway, NJ
Publication date 2015-12-01
ISSN 2329-9290
Keyword(s) Science & Technology
Technology
Acoustics
Engineering, Electrical & Electronic
Engineering
Audio watermarking
copyright protection
embedding capacity
PN sequence
spread spectrum
ROBUST
SCHEME
IMPERCEPTIBILITY
SECURE
Summary Abstract— Audio watermarking is a promising technology for copyright protection of audio data. Built upon the concept of spread spectrum (SS), many SS-based audio watermarking method shave been developed, where a pseudonoise (PN) sequence is usually used to introduce security. A major drawback of the existing SS-based audio watermarking methods is their low embedding capacity. In this paper, we propose a new SS-based audio watermarking method which possesses much higher embedding capacity while ensuring satisfactory imperceptibility and robustness. The high embedding capacity is achieved through a set of mechanisms: embedding multiple watermark bits in one audio segment, reducing host signal interference on watermark extraction, and adaptively adjusting PN sequence amplitude in watermark embedding based on the property of audio segments. The effectiveness of the proposed audio watermarking method is demonstrated by simulation examples.
Language eng
Field of Research 080107 Natural Language Processing
Socio Economic Objective 890404 Publishing and Print Services (incl. Internet Publishing)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID DP110102076
Persistent URL http://hdl.handle.net/10536/DRO/DU:30079061

Document type: Journal Article
Collection: School of Information Technology
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