A number of AI-generated tools are used today to clone human voices, leading to a new
technology known as Audio Deepfakes (ADs). Despite being introduced to enhance human …

With the advent of automated speaker verification (ASV) systems comes an equal and
opposite development: malicious actors may seek to use voice spoofing attacks to fool those …

Recent advances in the field of machine learning and social media platforms facilitate the
creation and rapid dissemination of realistic fake content (ie, images, videos, audios) …

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 …

A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …

In this paper the current status and open challenges of synthetic speech detection are
addressed. The work comprises an initial analysis of available open datasets and of existing …

This paper presents a review of techniques involved in the creation and detection of audio
deepfakes, the first section provides information about general deep fakes. In the second …

Malicious actors may seek to use different voice spoofing attacks to fool ASV systems and
even use them for spreading misinformation. Various countermeasures have been proposed …

Deep learning technology has made it possible to generate realistic content of specific
individuals. These 'deepfakes' can now be generated in real-time which enables attackers to …

In this paper, we propose the multi-perspective information fusion (MPIF) Res2Net with
random Specmix for fake speech detection (FSD). The main purpose of this system is to …