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Robust Mel-Frequency Cepstral coefficients feature detection and dual-tree complex wavelet transform for digital audio watermarking
Yuan X.-C.; Pun C.-M.; Philip Chen C.L.
2014-12-04
Source PublicationInformation Sciences
ISSN200255
Volume298Pages:159
Abstract

A novel digital audio watermarking scheme based on robust Mel-Frequency Cepstral coefficients feature detection and dual-tree complex wavelet transform is proposed in this paper, which is similar as patchwork based methods that several segments are extracted from the host audio clip for watermarking use. The robust Mel-Frequency Cepstral coefficients feature detection method is proposed to extract the feature segments which should be relocated when the host audio signal attacked by various distortions including both the common audio signal processing and the conventional geometric distortions. With the robust feature segments, the approximate shift invariant transform dual-tree complex wavelet transform based watermarking method is proposed to embed the watermark into the DT CWT real low-pass coefficients of each segment, using the spread spectrum techniques. The linear correlation is calculated to judge the existence of the watermark during the watermark detection. Experimental results show that the proposed digital audio watermarking scheme based on robust Mel-Frequency Cepstral coefficients feature detection and dual-tree complex wavelet transform can achieve high robustness against the common audio signal processing, such as low-pass filtering, MP3 compression, echo addition, volume change, and normalization; and geometric distortions, such as resample Time-Scale Modification (TSM), pitch invariant TSM, and tempo invariant pitch shifting. In addition, the proposed audio watermarking scheme is resilient to Stir-mark for Audio, and it performs much better comparing with the existing state-of-the art methods. © 2014 Elsevier Inc.

KeywordCepstral Coefficients Dual-tree Complex Wavelet Transform (Dt Cwt) Mel-frequency Pitch Shifting Stir-mark Time-scale Modification (Tsm)
DOI10.1016/j.ins.2014.11.040
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000349590000010
PublisherELSEVIER SCIENCE INC
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:13   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun C.-M.
AffiliationDepartment of Computer and Information Science, University of Macau, Macau
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yuan X.-C.,Pun C.-M.,Philip Chen C.L.. Robust Mel-Frequency Cepstral coefficients feature detection and dual-tree complex wavelet transform for digital audio watermarking[J]. Information Sciences,2014,298:159.
APA Yuan X.-C.,Pun C.-M.,&Philip Chen C.L..(2014).Robust Mel-Frequency Cepstral coefficients feature detection and dual-tree complex wavelet transform for digital audio watermarking.Information Sciences,298,159.
MLA Yuan X.-C.,et al."Robust Mel-Frequency Cepstral coefficients feature detection and dual-tree complex wavelet transform for digital audio watermarking".Information Sciences 298(2014):159.
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