caa a22 4500 605447772 CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1905-6 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1905-6 Empirical mode decomposition based blind audio watermarking [Elektronische Daten] [Zhaoyang Fu, Peng Zhang, Wei Huang, Liang Wang, Sabu Emmanuel, Guang Chen] Multiparty-multilevel digital rights management of audio requires blind detection of multiple watermarks. The proposed audio watermarking method offers copyright protection based on analysis filterbank decomposition, psychoacoustic model and empirical mode decomposition (EMD). The novel blind audio watermarking algorithm embeds the watermark bits in the final residue of the subbands in the transform domain. The watermarking system performance is optimized by selecting appropriate segment length for applying EMD process and by selecting the number of subbands for watermark embedding. Experimental results show that the proposed scheme is robust against various common signal processing manipulations while multiple watermark messages can be embedded. Springer Science+Business Media New York, 2014 Blind audio watermarking nationallicence Multiple watermarks nationallicence Empirical mode decomposition (EMD) nationallicence Psychoacoustic model nationallicence Analysis filterbank decomposition nationallicence Fu Zhaoyang School of Automation, Northwestern Polytechnical University, Xi'an, China aut Zhang Peng School of Computer Science, Northwestern Polytechnical University, Xi'an, China aut Huang Wei School of Information Engineering, Nanchang University, Jiangxi, China aut Wang Liang School of Computer Engineering, Nanyang Technological University, Singapore, Singapore aut Emmanuel Sabu School of Computer Engineering, Nanyang Technological University, Singapore, Singapore aut Chen Guang Xi'an Communications Institute, Xi'an, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 6019-6040 1380-7501 74:15<6019 2015 74 11042 https://doi.org/10.1007/s11042-014-1905-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1905-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fu Zhaoyang School of Automation, Northwestern Polytechnical University, Xi'an, China aut NATIONALLICENCE 700 1- Zhang Peng School of Computer Science, Northwestern Polytechnical University, Xi'an, China aut NATIONALLICENCE 700 1- Huang Wei School of Information Engineering, Nanchang University, Jiangxi, China aut NATIONALLICENCE 700 1- Wang Liang School of Computer Engineering, Nanyang Technological University, Singapore, Singapore aut NATIONALLICENCE 700 1- Emmanuel Sabu School of Computer Engineering, Nanyang Technological University, Singapore, Singapore aut NATIONALLICENCE 700 1- Chen Guang Xi'an Communications Institute, Xi'an, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 6019-6040 1380-7501 74:15<6019 2015 74 11042