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Efficient cancelable speaker identification system based on a hybrid structure of DWT and SVD

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Abstract

Traditional biometric systems are subjected to several attacks. If the original database of human biometrics is compromised, the biometric data is lost forever. This paper presents a sophisticated implementation of one of the watermarking algorithms in the field of cancelable speaker identification. A watermark strength factor is used to control the level of intended distortion created in the speech signal prior to the identification process. The practical simulation of the proposed system proves that it is possible through a watermarking algorithm to distort speech signals intentionally to generate cancelable speech templates.

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Authors and Affiliations

  1. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Khaled M. Abdelwahab, Saied Abd El-atty & Fathi E. Abd El-Samie

  2. Electronic Technology Department, Faculty of Technology and Education, Beni Suef University, Beni Suef, Egypt

    Ayman M. Brisha

Authors
  1. Khaled M. Abdelwahab
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  2. Saied Abd El-atty
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  3. Ayman M. Brisha
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  4. Fathi E. Abd El-Samie
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Correspondence to Khaled M. Abdelwahab.

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Abdelwahab, K.M., El-atty, S.A., Brisha, A.M. et al. Efficient cancelable speaker identification system based on a hybrid structure of DWT and SVD. Int J Speech Technol 25, 279–288 (2022). https://doi.org/10.1007/s10772-020-09778-9

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  • DOI: https://doi.org/10.1007/s10772-020-09778-9

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