Anti-Spoofing Countermeasures for Automatic Speaker Verification System

Yuanjun Zhao

Research output: ThesisDoctoral Thesis

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Abstract

Automatic speaker verification (ASV) is the process of verifying a claimed speaker identity from a voice signal based on speaker-specific characteristics. However, it has been widely acknowledged that a generic ASV system may be attacked. Urgent demands for anti-spoofing countermeasures are suggested by numerous vulnerability studies. The main focus of this thesis is to propose high-performing anti-spoofing solutions designed from various perspectives in spoofing detection. This work contributes to generate insights of applying state-of-the-art approaches for developing efficient anti-spoofing systems. The thesis deals with the problems of feature optimization and system generalization, insufficient and imbalanced training data and integrated spoofing robust ASV systems.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Thesis sponsors
Award date9 Apr 2020
DOIs
Publication statusUnpublished - 2019

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