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 …

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

We propose a nonparametric framework for voice conversion, that is, exemplar-based
sparse representation with residual compensation. In this framework, a spectrogram is …

Over the past few years, significant progress has been made in the field of presentation
attack detection (PAD) for automatic speaker recognition (ASV). This includes the …

Speaker verification system automatically accepts or rejects the claimed identity of a
speaker. Recently, we have made major progress in speaker verification which leads to …

A speaker verification system automatically accepts or rejects a claimed identity of a speaker
based on a speech sample. Recently, a major progress was made in speaker verification …

In the traditional voice conversion, converted speech is generated using statistical
parametric models (for example Gaussian mixture model) whose parameters are estimated …

Progress in the development of spoofing countermeasures for automatic speaker
recognition is less advanced than equivalent work related to other biometric modalities. This …

We propose a support vector regression approach for symbol detection in large-MIMO
systems employing spatial multiplexing. We explore the applicability of machine learning …