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Counter measure system for automatic speaker verification systems

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posted on 2022-11-03, 02:36 authored by Asim Adnan Eijaz

Automatic speaker verification systems use speech signals to identify an individual. The research in speaker recognition systems has advanced a lot in the last few decades. Even though the state-of-the-art systems provide superior authentication performance, they are still vulnerable to malicious spoofing attacks. Access to speaker verification systems can be spoofed using various types of different attacks. The three main types of attacks are replay attacks, speech synthesis and voice conversion. Current literature shows that these attacks significantly increase the false acceptance rate of speaker verification systems. Concrete evidence of this vulnerability has directed researchers in building countermeasures for speaker recognition systems. The focus of this thesis is on the detection of speech synthesis and voice conversion based spoofing attacks. We explore short-term Fourier transform (STFT) and constant Q transform (CQT) as front-end features for countermeasure systems. The motive is to understand the effect of different parameterisation of a feature on countermeasure performance. Additionally, we also explore how different back-end classifiers affect the performance of countermeasure systems. Finally, score level fusions of different single feature-based countermeasure systems are investigated. 


Table of Contents

1 Introduction -- 2 Background and literature review -- 3 Features for counter measure systems -- 4 Models -- 5 Conclusion -- A Appendix -- References


A thesis submitted to Macquarie University for the degree of Master of Research

Awarding Institution

Macquarie University

Degree Type

Thesis MRes


Thesis (MRes), Macquarie University, Faculty of Science & Engineering, Department of Computing, 2021

Department, Centre or School

Department of Computing

Year of Award


Principal Supervisor

Steve Cassidy

Additional Supervisor 1

Xi (James) Zheng


Copyright: The Author Copyright disclaimer:




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