Generalized Replay Spoofing Countermeasure Based on Combining Local Subclassification Models Article Swipe

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Sarah Mohammed Altuwayjiri , Ouiem Bchir , Mohamed Maher Ben Ismail ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.3390/app122211742

Automatic speaker verification (ASV) systems play a prominent role in the security field due to the usability of voice biometrics compared to alternative biometric authentication modalities. Nevertheless, ASV systems are susceptible to malicious voice spoofing attacks. In response to such threats, countermeasures have been devised to prevent breaches and ensure the safety of user data by categorizing utterances as either genuine or spoofed. In this paper, we propose a new voice spoofing countermeasure that seeks to improve the generalization of supervised learning models. This is accomplished by alleviating the problem of intraclass variance. Specifically, the proposed approach addresses the generalization challenge by splitting the classification problem into a set of local subproblems in order to lessen the supervised learning task. The system outperformed existing state-of-the-art approaches with an EER of 0.097% on the ASVspoof challenge corpora related to replaying spoofing attacks.

Related Topics

Computer Science

Chaff (Countermeasure)

Biometrics

Generalization

Usability

Artificial Intelligence

Machine Learning

Computer Security

Human–Computer Interaction

Engineering

Mathematical Analysis

Mathematics

Aerospace Engineering

Programming Language

Concepts

Spoofing attack Computer science Countermeasure Biometrics Generalization Set (abstract data type) Usability Field (mathematics) Replay attack Speech recognition Artificial intelligence Machine learning Authentication (law) Computer security Human–computer interaction Engineering Mathematical analysis Mathematics Pure mathematics Aerospace engineering Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/app122211742
PDF: https://www.mdpi.com/2076-3417/12/22/11742/pdf?version=1669177816
OA Status: gold
Cited By: 1
References: 65
Related Works: 10
OpenAlex ID: https://openalex.org/W4309737670

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DOI: https://doi.org/10.3390/app122211742

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Title: Generalized Replay Spoofing Countermeasure Based on Combining Local Subclassification Models

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-11-18

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Authors: Sarah Mohammed Altuwayjiri, Ouiem Bchir, Mohamed Maher Ben Ismail

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Landing page: https://doi.org/10.3390/app122211742

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Concepts: Spoofing attack, Computer science, Countermeasure, Biometrics, Generalization, Set (abstract data type), Usability, Field (mathematics), Replay attack, Speech recognition, Artificial intelligence, Machine learning, Authentication (law), Computer security, Human–computer interaction, Engineering, Mathematical analysis, Mathematics, Pure mathematics, Aerospace engineering, Programming language

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Cited by: 1

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