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Title: Emd and psychoacoustic model based watermarking for audio
Authors: Wang, L.
Emmanuel, S.
Kankanhalli, M.S. 
Keywords: Analysis filterbank decomposition
Blind audio watermarking
Empirical mode decomposition (EMD)
Psychoacoustic model
Issue Date: 2010
Source: Wang, L., Emmanuel, S., Kankanhalli, M.S. (2010). Emd and psychoacoustic model based watermarking for audio. 2010 IEEE International Conference on Multimedia and Expo, ICME 2010 : 1427-1432. ScholarBank@NUS Repository.
Abstract: The audio watermarking method proposed in this paper offers the copyright protection to an audio without the use of the original signal for watermark detection. The analysis filterbank decomposition, the psychoacoustic model and the empirical mode decomposition (EMD) are the three key techniques used in the novel audio watermarking method. Unlike the traditional audio watermarking algorithms where the watermark bits are embedded directly in the signal either by time domain or transform domain processing, the novel blind audio watermarking algorithm proposed in this paper embeds the watermark bits in the final residue of the subbands in the transform domain. Four watermark messages are embedded into the proposed audio watermarking system. The inaudibility, capacity and robustness ofthe audio watermarking system are evaluated, in order to optimize the system performance. The experimental results show that the proposed blind watermarking scheme is robust against MP3 compression and adding Gaussian noise attacks. © 2010 IEEE.
Source Title: 2010 IEEE International Conference on Multimedia and Expo, ICME 2010
ISBN: 9781424474912
DOI: 10.1109/ICME.2010.5582957
Appears in Collections:Staff Publications

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