jackaduma/CycleGAN-VC2
Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2
Implements improved CycleGAN architecture with two-step adversarial losses, 2-1-2D CNN generators, and Patch GAN discriminators for non-parallel voice conversion without paired training data. Built in PyTorch with preprocessing scripts for mel-cepstral coefficients and fundamental frequency normalization, includes a pretrained model for Mandarin speaker conversion between AISHELL and celebrity voice datasets.
571 stars. No commits in the last 6 months.
Stars
571
Forks
109
Language
Python
License
MIT
Category
Last pushed
Jun 10, 2023
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0
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