the development of machine learning, superior performance is still difficult to achieve when
using nonparallel data. In this paper, we propose using a cycle-consistent adversarial
network (CycleGAN) for nonparallel data-based VC training. A CycleGAN is a generative
adversarial network (GAN) originally developed for unpaired image-to-image translation. A
subjective evaluation of inter-gender conversion demonstrated that the proposed method …