Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …

Over the past few years, significant progress has been made in the field of presentation
attack detection (PAD) for automatic speaker recognition (ASV). This includes the …

Concerns regarding the vulnerability of automatic speaker verification (ASV) technology
against spoofing can undermine confidence in its reliability and form a barrier to exploitation …

Efforts to develop new countermeasures in order to protect automatic speaker verification
from spoofing have intensified over recent years. The ASVspoof 2015 initiative showed that …

Voice biometric authentication is increasingly gaining adoption in organisations with high-
volume identity verifications and for providing access to physical and other virtual spaces. In …

In recent years, automatic speaker verification (ASV) is used extensively for voice biometrics.
This leads to an increased interest to secure these voice biometric systems for real-world …

Several methods for synthetic audio speech generation have been developed in the
literature through the years. With the great technological advances brought by deep …

In this study, we explore the use of deep-learning approaches for spoofing detection in
speaker verification. Most spoofing detection systems that have achieved recent success …

During the past three decades, the issue of processing spectral phase has been largely
neglected in speech applications. There is no doubt that the interest of speech processing …

To secure automatic speaker verification (ASV) systems from intruders, robust
countermeasures for spoofing attack detection are required. The ASVspoof series of …