Secret data hiding within tolerance level of embedding in quality songs (DHTL)

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Abstract

Embedding message into audio signal especially within songs without compromising its audible quality is one of the growing research areas. The techniques are used for different purposes in practical life. Various methods are evolved for hiding information into audio signals and quality is maintained only by calculating the acceptance ratio of embedding data using human perception. Therefore, an efficient way of finding the limit of embedding information in song signal is one of the challenging issues. In this paper, using modulation of channel capacity in modified form is used to determine the embedded data and song signal trade-off ratio for getting future guideline embedding information in song signal with correlation among embedded data is fabricated. A comparative study has been made with similar existing techniques for performance analysis and experimental results are also supported with mathematical formula based on Microsoft WAVE (".wav") stereo sound file. © 2012 Springer-Verlag GmbH.

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Mondal, U. K., & Mandal, J. K. (2012). Secret data hiding within tolerance level of embedding in quality songs (DHTL). In Advances in Intelligent and Soft Computing (Vol. 167 AISC, pp. 753–761). https://doi.org/10.1007/978-3-642-30111-7_72

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