Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …

Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

Transfer Learning is an efficient approach of solving classification problem with little amount
of data. In this paper, we applied Transfer Learning to the well-known AlexNet Convolution …

Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

In this study, we trained a deep autoencoder to build compact representations of short-term
spectra of multiple speakers. Using this compact representation as mapping features, we …

Developing a voice conversion (VC) system for a particular speaker typically requires
considerable data from both the source and target speakers. This paper aims to effectuate …

Up to now, the image recognition system has been utilized more and more widely in the
security monitoring, the industrial intelligent monitoring, the unmanned vehicle, and even the …

Many-to-many voice conversion with non-parallel training data has seen significant progress
in recent years. It is challenging because of lacking of ground truth parallel data. StarGAN …

The paper examines the potential threats of the malicious use of deepfake technology to
destabilize and discredit megascience projects in the global information space. The …

Identifying people based on their footprint has not yet gained enough attention from the
researchers. Therefore, in this paper, an investigation of human identification conducted …