Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. (arXiv:2209.10088v4 [eess.AS] UPDATED)

Nonparallel multi-domain voice conversion methods such as the StarGAN-VCs
have been widely applied in many scenarios. However, the training of these
models usually poses a challenge due to their complicated adversarial network
architectures. To address this, in this work we leverage the state-of-the-art
contrastive learning techniques and incorporate an efficient Siamese network
structure into the StarGAN discriminator. Our method is called
SimSiam-StarGAN-VC and it boosts the training stability and effectively
prevents the discriminator overfitting issue in the training process. We …

arxiv boosting conversion gans voice