kumoh national institute of technology
Networked Systems Lab.

R. R. Ginanjar, D.-S. Kim, and C.-B. Moon, "High-capacity and Transparent Digital Audio Watermarking using Rounding Reduced-arc MPSK and a Genetic Algorithm", IEIE Smart Processing and Computing (IF: 0.39, ISSN: 2287-5255), vol. 8, no. 1, pp. 48-58, Feb 2019.
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Date : 2019-04-01
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Abstract:
In this paper, a novel, high-capacity and transparent blind audio watermarking system based on rounding reduced-arc M-ary phase shift keying (MPSK) is presented. Signal samples of the audio file are divided into several frames and then transformed into the frequency domain using fast Fourier transform. The watermark is embedded in the phase element of the selected samples based on several criteria. Two modified modulation schemes (256-PSK and binary phase shift keying) are used for the embedding process to compare the effects of the M-ary number used in the system. To improve the system, a genetic algorithm is utilized to obtain the best embedding parameters, which produces the optimal output based on the perceptual quality of the watermarked audio and the robustness of the extracted watermark. Experimental results show that the proposed audio watermarking system produces high-quality watermarked audio while loading a huge amount of data.

Available online: http://www.ieiespc.org/include/pdfdownload.asp?filename=IEEKSPC_2019_8_1_20190311142849_1.pdf