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hal.structure.identifierEcole Nationale d'Ingénieurs de Tunis [ENIT]
dc.contributor.authorKHALDI, Kais
hal.structure.identifierInstitut de Recherche de l'Ecole Navale [IRENAV]
dc.contributor.authorBOUDRAA, Abdel-Ouahab
dc.date.accessioned2021-05-14T09:58:43Z
dc.date.available2021-05-14T09:58:43Z
dc.date.issued2013-03
dc.identifier.issn1558-7916
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77969
dc.descriptionIn this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). The watermark and the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under different attacks and preserving audio perceptual quality of the host signal. The data embedding rate of the proposed algorithm is 46.9–50.3 b/s. Relying on exhaustive simulations, we show the robustness of the hidden watermark for additive noise, MP3 compression, re-quantization, filtering, cropping and resampling. The comparison analysis shows that our method has better performance than watermarking schemes reported recently.
dc.description.abstractEnIn this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). The watermark and the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under different attacks and preserving audio perceptual quality of the host signal. The data embedding rate of the proposed algorithm is 46.9–50.3 b/s. Relying on exhaustive simulations, we show the robustness of the hidden watermark for additive noise, MP3 compression, re-quantization, filtering, cropping and resampling. The comparison analysis shows that our method has better performance than watermarking schemes reported recently.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.subjectEmpirical mode decomposition
dc.subjectAudio watermarking
dc.subjectIntrinsic mode function
dc.subjectQuantization index modulation
dc.subjectSynchronization code
dc.subjectDécomposition modale empirique
dc.subjectmode empirique
dc.subjecttatouage audio
dc.subjectmodulation de l'indice de quantification
dc.subjectcode de synchronisation
dc.typeArticle de revue
dc.identifier.doi10.1109/TASL.2012.2227733
dc.subject.halInformatique [cs]/Multimédia [cs.MM]
dc.subject.halInformatique [cs]/Théorie de l'information [cs.IT]
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalIEEE Transactions on Audio, Speech and Language Processing
bordeaux.page675-680
bordeaux.volume21
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01087064
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01087064v1
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