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dc.contributor.authorXiang, Y.
dc.contributor.authorNatgunanathan, I.
dc.contributor.authorRong, Yue
dc.contributor.authorGuo, S.
dc.date.accessioned2017-01-30T12:15:55Z
dc.date.available2017-01-30T12:15:55Z
dc.date.created2016-09-22T12:29:03Z
dc.date.issued2015
dc.identifier.citationXiang, Y. and Natgunanathan, I. and Rong, Y. and Guo, S. 2015. Spread Spectrum Based High Embedding Capacity Watermarking Method for Audio Signals. IEEE Transactions on Audio, Speech, and Language Processing. 23 (12): pp. 2228-2237.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19827
dc.identifier.doi10.1109/TASLP.2015.2476755
dc.description.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 methods have 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.

dc.publisherIEEE Signal Processing Society
dc.subjectPN sequence
dc.subjectspread spectrum
dc.subjectcopyright protection
dc.subjectembedding capacity
dc.subjectAudio watermarking
dc.titleSpread Spectrum Based High Embedding Capacity Watermarking Method for Audio Signals
dc.typeJournal Article
dcterms.source.volume23
dcterms.source.number12
dcterms.source.startPage2228
dcterms.source.endPage2237
dcterms.source.issn1558-7916
dcterms.source.titleIEEE Transactions on Audio, Speech, and Language Processing
curtin.note

Copyright © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusOpen access


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