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 …

Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

Abstract Deepfakes (" deep learning"+" fake") are synthetically-generated videos from AI
algorithms. While they could be entertaining, they could also be misused for falsifying …

ASVspoof, now in its third edition, is a series of community-led challenges which promote
the development of countermeasures to protect automatic speaker verification (ASV) from …

Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are
known to reside in specific subbands and temporal segments. Various approaches can be …

Automatic speaker verification (ASV) is one of the most natural and convenient means of
biometric person recognition. Unfortunately, just like all other biometric systems, ASV is …

Human voices can be used to authenticate the identity of the speaker, but the automatic
speaker verification (ASV) systems are vulnerable to voice spoofing attacks, such as …

The ASVspoof initiative was created to promote the development of countermeasures which
aim to protect automatic speaker verification (ASV) from spoofing attacks. The first …

This paper describes the Speech Technology Center (STC) antispoofing systems submitted
to the ASVspoof 2019 challenge. The ASVspoof2019 is the extended version of the previous …

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 …