Generative adversarial networks (GANs) have recently become a hot research topic;
however, they have been studied since 2014, and a large number of algorithms have been …

Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …

This paper proposes a method that allows non-parallel many-to-many voice conversion (VC)
by using a variant of a generative adversarial network (GAN) called StarGAN. Our method …

Generative adversarial networks have seen rapid development in recent years and have led
to remarkable improvements in generative modelling of images. However, their application …

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 …

Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

The limited fault information caused by small fault data samples is a major problem in wind
turbine (WT) fault detection. This paper proposes a small-sample WT fault detection method …

Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …

The most existing deep neural networks (DNN)-based methods for fault diagnosis only focus
on prediction accuracy without considering the limitation of labeled sample size. In practical …

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 …