Semantic relatedness is one of the most significant aspects of natural language processing.
It has been identified as a critical technology for develo** intelligent systems like Siri …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

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 recent years, audio and video deepfake technology has advanced relentlessly, severely
impacting people's reputation and reliability. Several factors have facilitated the growing …

Recent advances in deep learning and computer vision have spawned a new class of media
forgeries known as deepfakes, which typically consist of artificially generated human faces …

Advances in deep learning have introduced a new wave of voice synthesis tools, capable of
producing audio that sounds as if spoken by a target speaker. If successful, such tools in the …

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 …

Nowadays, it is common to release audio content to the public. However, with the rise of
voice cloning technology, attackers have the potential to easily impersonate a specific …

The rapid spread of media content synthesis technology and the potentially damaging
impact of audio and video deepfakes on people's lives have raised the need to implement …

Recent advances in speech synthesis and counterfeit audio generation have pushed the
multimedia forensics community to develop speech deepfake detection techniques to avoid …