A Robust Digital Speech Watermarking Based on Least Significant Bit
Mritunjay Kumar1, Rajeev Kumar2, Jainath Yadav3
1Mritunjay kumar*, Department of Computer Science, Central University Of South Bihar, Gaya, India.
2Rajeev Kumar, Department of Computer Science, Central University Of South Bihar, Gaya, India.
3Dr. Jainath Yadav, Department of Computer Science, Central University Of South Bihar, Gaya, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 27, 2020. | Manuscript published on April 10, 2020. | PP: 126-131 | Volume-9 Issue-6, April 2020. | Retrieval Number: E3201039520/2020©BEIESP | DOI: 10.35940/ijitee.E3201.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Watermarking is a technique to ensure the original information and to validate the digital content. Watermarking is required because of the rise in the utilization of the internet in one’s everyday life. As the usage of digital content is developing quickly, there are numerous occurrences where information is uncertain. Watermarking is a procedure to conceal information for authorization reasons. Watermarking is the ideal approach to make sure about the digital content. Watermarking should be possible through different strategies. Least Significant Bit Watermarking (LSBW) strategy is one of them. Right now, pixel estimations of the image are changed over into binary. The data is covered in the bits of the pixel esteems. Watermarking consistently infers embedding of furtive signal that should be robust and imperceptible within the host data. In order to cater its robustness and imperceptibility, the energy of the watermark is accommodated to the energy of speech components.
Keywords: Speech watermarking, Least Significant Bit (LSB), Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), Minimum Value.
Scope of the Article: Digital Clone or Simulation.