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A Novel Secure Speech Biometric Protection Method

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Smart Computing and Communication (SmartCom 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

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Abstract

In recent years, automatic speaker verification (ASV) has been widely used in speech biometrics. The ASV systems are vulnerable to various spoofing attacks, such as synthesized speech (SS), voice conversion (VC), replay attacks, twin attacks, and simulation attacks. The research to ensure the application of voice biometric systems in various security fields has attracted more and more researchers’ interest. The combination of credibility and voice is particularly important in this period when biometric systems are widely used. We propose a novel secure speech biometric protection method. This article also summarizes previous research on spoofing attacks, focusing on SS, VC, and replay, as well as recent efforts to improve security and develop countermeasures for spoofing speech detection (SSD) tasks. At the same time, it pointed out the limitations and challenges of SSD tasks.

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Acknowledgments

This work was supported by the 2020 Education Research Programs for Young Scholars in Fujian Province (JAT200815).

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Authors and Affiliations

  1. Software College, Quan Zhou University of Information Engineering, Quan Zhou, 362000, China

    Lan Yang, Zongbo Wu & Jun Guo

  2. Key Laboratory of Cloud Computing and Internet-of-Thing Technology, Quan Zhou University of Information Engineering, Quan Zhou, 362000, China

    Lan Yang, Zongbo Wu & Jun Guo

Authors
  1. Lan Yang
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  2. Zongbo Wu
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  3. Jun Guo
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Editor information

Editors and Affiliations

  1. Texas A&M University-Commerce, Commerce, TX, USA

    Meikang Qiu

  2. Beijing Institute of Technology, Beijing, Beijing, China

    Keke Gai

  3. Tsinghua University, Beijing, China

    Han Qiu

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Yang, L., Wu, Z., Guo, J. (2022). A Novel Secure Speech Biometric Protection Method. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_41

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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