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International Journal of Advanced Engineering, Management and Science

Digital Audio Watermarking using EMD for Voice Message Encryption with Added Security

( Vol-2,Issue-4,April 2016 )

Author(s): Kunal Gawale, Harshali Chaudhari, Vasundhara Kandesar, Smita Sakharwade (Makade)

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Downloads : 164
Page No: 218-222
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Empirical mode decomposition, intrinsic mode function, audio watermarking, voice message encryption, quantization index modulation, synchronization code.


Several accurate watermarking methods for image watermarking have being suggested and implemented to secure various forms of digital data, images and videos however, very few algorithms are proposed for audio watermarking. This is also because human audio system has dynamic range which is wider in comparison with human vision system. In this paper, a new audio watermarking algorithm for voice message encryption based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each frame is then decomposed adaptively, by EMD, into intrinsic oscillatory components called Intrinsic Mode Functions (IMFs). The watermark, which is the secret message that is to be sent, along with the synchronization codes are embedded into the extrema of the last IMF, a low frequency mode stable under different attacks and preserving the perceptual quality of the host signal. Based on exhaustive simulations, we show the robustness of the hidden watermark for audio compression, false decryption, re-quantization, resampling. The comparison analysis shows that our method has better performance than other steganography schemes recently reported.

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