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 …

Identifying a person by his or her voice is an important human trait most take for granted in
natural human-to-human interaction/communication. Speaking to someone over the …

Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …

Audio Deepfakes, technically known as logical-access voice spoofing techniques, have
become an increased threat on voice interfaces due to the recent breakthroughs in speech …

Existing approaches for replay and synthetic speech detection still lack generalizability to
unseen spoofing attacks. This work proposes to leverage a novel model structure, so-called …

An increasing number of independent studies have confirmed the vulnerability of automatic
speaker verification (ASV) technology to spoofing. However, in comparison to that involving …

While biometric authentication has advanced significantly in recent years, evidence shows
the technology can be susceptible to malicious spoofing attacks. The research community …

The performance of biometric systems based on automatic speaker recognition technology
is severely degraded due to spoofing attacks with synthetic speech generated using different …

Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-Spoofing with
Squeeze-Excitation and Residual neTworks (ASSERT). Anti-spoofing has gathered more …