[Sans titre]
Langue
en
Article de revue
Ce document a été publié dans
IEEE Transactions on Audio, Speech and Language Processing. 2013-03, vol. 21, n° 3, p. 675-680
Institute of Electrical and Electronics Engineers
Résumé en anglais
In 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 ...Lire la suite >
In 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.< Réduire
Mots clés
Empirical mode decomposition
Audio watermarking
Intrinsic mode function
Quantization index modulation
Synchronization code
Décomposition modale empirique
mode empirique
tatouage audio
modulation de l'indice de quantification
code de synchronisation
Origine
Importé de halUnités de recherche