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 …

In the past years, multimedia content has improved in realism and plausibility owing to the
development of deep learning techniques, particularly the generative adversarial networks …

In recent years, there has been a dramatic change in attitude towards computers and the
use of computer resources in general. Cloud and Edge computing have emerged as the …

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 …

The emergence of audio deepfakes has prompted concerns over reputational integrity and
dependability. Deepfakes with audio can now be produced more easily, which makes it …

The rise of audio deepfakes presents a significant security threat that undermines trust in
digital communications and media. These synthetic audio technologies can convincingly …

The rapid evolution of voice technology has heightened the need for robust detection
systems to distinguish between authentic and tampered speech. Recent competitions have …

This paper explores the application of active learning to enhance machine learning
classifiers for spoofing detection in automatic speaker verification (ASV) systems …

This study delves into the pervasive issue of audio deepfakes and their societal implications,
emphasizing a Machine Learning (ML) approach for detection. Employing the Mel …