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Self-recovery scheme for audio restoration using auditory masking

Author

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  • Alejandra Menendez-Ortiz
  • Claudia Feregrino-Uribe
  • Jose Juan Garcia-Hernandez

Abstract

Self-recovery schemes identify and restore tampering, using as a reference a compressed representation of a signal embedded into itself. In addition, audio self-recovery must comply with a transparency threshold, adequate for applications such as on-line music distribution or speech transmission. In this manuscript, an audio self-recovery scheme is proposed. Auditory masking properties of the signals are used to determine the frequencies that better mask the embedding distortion. Frequencies in the Fourier domain are mapped to the intDCT domain for embedding and extraction of reference bits for signal restoration. The contribution of this work is the use of auditory masking properties for the frequency selection and the mapping to the intDCT domain. Experimental results demonstrate that the proposed scheme satisfies a threshold of -2 ODG, suitable for audio applications. The efficacy of the scheme, in terms of its restoration capabilities, is also shown.

Suggested Citation

  • Alejandra Menendez-Ortiz & Claudia Feregrino-Uribe & Jose Juan Garcia-Hernandez, 2018. "Self-recovery scheme for audio restoration using auditory masking," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-23, September.
    • Handle: RePEc:plo:pone00:0204442
    DOI: 10.1371/journal.pone.0204442
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    Cited by:

    1. Qiu-yu Zhang & Fu-jiu Xu, 2023. "Encrypted speech authentication and recovery scheme based on fragile watermarking," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 82(1), pages 125-140, January.

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