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Audio Watermarking With Reduced Number of Random Samples
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Author(s): Rohit Anand (G. B. Pant Engineering College, India), Gulshan Shrivastava (National Institute of Technology Patna, India), Sachin Gupta (Vivekananda Institute of Professional Studies, India), Sheng-Lung Peng (National Dong Hwa University, Taiwan)and Nidhi Sindhwani (Amity School of Engineering and Technology, India)
Copyright: 2018
Pages: 23
Source title:
Handbook of Research on Network Forensics and Analysis Techniques
Source Author(s)/Editor(s): Gulshan Shrivastava (National Institute of Technology Patna, India), Prabhat Kumar (National Institute of Technology Patna, India), B. B. Gupta (National Institute of Technology Kurukshetra, India), Suman Bala (Orange Labs, France)and Nilanjan Dey (Department of Information Technology, Techno India College of Technology, Kolkata, India)
DOI: 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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