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Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers

Research Article

Multiplicative Watermarking of Audio in Spectral Domain

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  • @INPROCEEDINGS{10.1007/978-3-642-37949-9_52,
        author={Jyotsna Singh and Parul Garg and Alok De},
        title={Multiplicative Watermarking of Audio in Spectral Domain},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2013},
        month={7},
        keywords={audio correlation detector discrete fourier transform log-likelihood detection watermarking},
        doi={10.1007/978-3-642-37949-9_52}
    }
    
  • Jyotsna Singh
    Parul Garg
    Alok De
    Year: 2013
    Multiplicative Watermarking of Audio in Spectral Domain
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-37949-9_52
Jyotsna Singh1, Parul Garg1, Alok De1
  • 1: Netaji Subhas Institute of Technology

Abstract

In this paper, watermark is multiplicatively embedded in discrete fourier transform magnitude of audio signal using spread spectrum based technique. A new perceptual model for magnitude of discrete fourier transform coefficients is developed which finds the regions of highest watermark embedding capacity with least perceptual distortion. Theoretical evaluation of detector performance using correlation detector and likelihood ratio detector is undertaken under the assumption that host feature follows Weibull distribution. Also, experimental results are presented in order to show the performance of the proposed scheme under various attacks such as presence of multiple watermarks, additive white gaussian noise and audio compression.

Keywords
audio correlation detector discrete fourier transform log-likelihood detection watermarking
Published
2013-07-09
http://dx.doi.org/10.1007/978-3-642-37949-9_52
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