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Audio Watermarking With Reduced Number of Random Samples

Audio Watermarking With Reduced Number of Random Samples

Rohit Anand, Gulshan Shrivastava, Sachin Gupta, Sheng-Lung Peng, Nidhi Sindhwani
ISBN13: 9781522541004|ISBN10: 1522541004|EISBN13: 9781522541011
DOI: 10.4018/978-1-5225-4100-4.ch020
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MLA

Anand, Rohit, et al. "Audio Watermarking With Reduced Number of Random Samples." Handbook of Research on Network Forensics and Analysis Techniques, edited by Gulshan Shrivastava, et al., IGI Global, 2018, pp. 372-394. https://doi.org/10.4018/978-1-5225-4100-4.ch020

APA

Anand, R., Shrivastava, G., Gupta, S., Peng, S., & Sindhwani, N. (2018). Audio Watermarking With Reduced Number of Random Samples. In G. Shrivastava, P. Kumar, B. Gupta, S. Bala, & N. Dey (Eds.), Handbook of Research on Network Forensics and Analysis Techniques (pp. 372-394). IGI Global. https://doi.org/10.4018/978-1-5225-4100-4.ch020

Chicago

Anand, Rohit, et al. "Audio Watermarking With Reduced Number of Random Samples." In Handbook of Research on Network Forensics and Analysis Techniques, edited by Gulshan Shrivastava, et al., 372-394. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-4100-4.ch020

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Abstract

Digital signal watermarking is an indiscernible and safe transmission of freehold data through host signal that includes immersing into and extrication from the actual host. Some algorithms have been investigated for the strong and secure embedding and extraction of watermarks within the host audio files but they do not yet yield good results in compression and re-sampling. In this chapter, an excellent method is suggested for the compressed wave files that uses random carrier to immerse the watermark in the sequence of an audio signal. The watermark is embedded lucently in audio stream after adaptive differential pulse code modulation (ADPCM) before quantization. The proposed scheme has been implemented and its parameters are compared with the finest auditory watermarking method known. A tool has been used to measure the parameters to produce the results and tabular values. The larger PSNR and smaller BER prove that the suggested scheme is robust.

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