Web: http://arxiv.org/abs/2209.10088

Sept. 28, 2022, 1:13 a.m. | Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao

cs.LG updates on arXiv.org arxiv.org

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

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