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.

Attached Files
Name Description MIMEType Size Downloads

Title Spread spectrum-based high embedding capacity watermarking method for audio signals
Author(s) Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Natgunanathan, IynkaranORCID iD for Natgunanathan, Iynkaran orcid.org/0000-0003-4215-000X
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
Engineering, Electrical & Electronic
Audio watermarking
copyright protection
embedding capacity
PN sequence
spread spectrum
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

Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 25 times in TR Web of Science
Scopus Citation Count Cited 36 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 462 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 20 Jan 2016, 12:03:05 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.