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Detection of speaker liveness with CNN isolated word ASR for verification systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10247867" target="_blank" >RIV/61989100:27240/22:10247867 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11042-021-11150-1" target="_blank" >https://link.springer.com/article/10.1007/s11042-021-11150-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11042-021-11150-1" target="_blank" >10.1007/s11042-021-11150-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of speaker liveness with CNN isolated word ASR for verification systems

  • Original language description

    The article proposes a new speaker liveness test for speech verification systems. Biometric authentication systems based on speaker verification are often subject to presentation attacks which use the target speaker&apos;s recorded speech. We propose a liveness test which uses CNN isolated word ASR as a countermeasure to repel attacks during the verification process. The liveness test incorporates the extraction of MFCC coefficients and the CNN classifier. Reliability of the recognition of isolated words is verified against a validation dataset of various sizes. The achieved results verified the system&apos;s reliability, which decreased slightly as the size of the keyword dataset increased. The proposed method represents a simple and effective security component against presentation attacks for existing SV systems. (C) 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

    <a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Multimedia Tools and Applications

  • ISSN

    1380-7501

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    13

  • Pages from-to

    9445-9457

  • UT code for WoS article

    000662846600006

  • EID of the result in the Scopus database

    2-s2.0-85108146563