• DocumentCode
    3411463
  • Title

    High capacity error free wavelet Domain Speech Steganography

  • Author

    Shirali-Shahreza, Sajad ; Manzuri-Shalmani, M.T.

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    1729
  • Lastpage
    1732
  • Abstract
    Steganography is the art of hiding information in a cover media without attracting attention. One of the cover media which can be used for steganography is speech. In this paper, we propose a new speech steganography in wavelet domain. In this method, lifting scheme is used to create perfect reconstruction Int2Int wavelets. The data is hidden in some of the Least Significant Bits (LSB) of detail wavelet coefficients. The LSB bits for hiding are selected with a new adaptive algorithm. This algorithm does not hide information in silent parts, so there is no need for silent detection algorithms. This method has zero error in hiding/unhiding process, while normal wavelet domain LSB has about 0.2 % error in equal hiding capacity. This method is a high capacity steganography method which can hide information up to 20% of the input speech. The Signal-to- Noise Ratio (SNR) and listening tests show that the stegano audio is imperceptible from original audio.
  • Keywords
    data encapsulation; speech processing; wavelet transforms; Int2Int wavelets; detail wavelet coefficients; high capacity error free wavelet domain speech steganography; information hiding; least significant bits; Discrete wavelet transforms; Error analysis; Fourier transforms; Humans; Speech; Steganography; Testing; Wavelet coefficients; Wavelet domain; Wavelet transforms; Information Hiding; Lifting Scheme; Speech Steganography; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517963
  • Filename
    4517963