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Robust segments detector for de-synchronization resilient audio watermarking
Pun C.-M.; Yuan X.-C.
2013
Source PublicationIEEE Transactions on Audio, Speech and Language Processing
ISSN15587916
Volume21Issue:11Pages:2412
Abstract

A robust feature points detector for invariant audio watermarking is proposed in this paper. The audio segments centering at the detected feature points are extracted for both watermark embedding and extraction. These feature points are invariant to various attacks and will not be changed much for maintaining high auditory quality. Besides, high robustness and inaudibility can be achieved by embedding the watermark into the approximation coefficients of Stationary Wavelet Transform (SWT) domain,which is shift invariant. The spread spectrum communication technique is adopted to embed the watermark. Experimental results show that the proposed Robust Audio Segments Extractor (RASE) and the watermarking scheme are not only robust against common audio signal processing, such as low-pass filtering, MP3 compression, echo addition, volume change, and normalization; and distortions introduced in Stir-mark benchmark for Audio; but also robust against synchronization geometric distortions simultaneously, such as resample time-scale modification (TSM) with scaling factors up to %, pitch invariant TSM by %, and tempo invariant pitch shifting by %. In general, the proposed scheme can well resist various attacks by the joint RASE and SWT approach, which performs much better comparing with the existing state-of-the art methods. © 2006-2012 IEEE.

KeywordPitch Shifting Robust Audio Segments Extractor (Rase) Stationary Wavelet Transform (Swt) Synchronization Geometric Distortions Time-scale Modification (Tsm)
DOI10.1109/TASL.2013.2279312
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAcoustics ; Engineering
WOS SubjectAcoustics ; Engineering, Electrical & Electronic
WOS IDWOS:000325944800017
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:30   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYuan X.-C.
AffiliationDepartment of Computer and Information Science, University of Macau, Macau 999078, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Pun C.-M.,Yuan X.-C.. Robust segments detector for de-synchronization resilient audio watermarking[J]. IEEE Transactions on Audio, Speech and Language Processing,2013,21(11):2412.
APA Pun C.-M.,&Yuan X.-C..(2013).Robust segments detector for de-synchronization resilient audio watermarking.IEEE Transactions on Audio, Speech and Language Processing,21(11),2412.
MLA Pun C.-M.,et al."Robust segments detector for de-synchronization resilient audio watermarking".IEEE Transactions on Audio, Speech and Language Processing 21.11(2013):2412.
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