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'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'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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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