A two-part training strategy that uses a pretrained voice conversion model to generate pseudo paired data and same-speaker sampling to reduce train-inference mismatch, improving one-shot voice conversion over FreeVC and other public baselines.
Phoneme hallucinator: One-shot voice conversion via set expansion,
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PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data
A two-part training strategy that uses a pretrained voice conversion model to generate pseudo paired data and same-speaker sampling to reduce train-inference mismatch, improving one-shot voice conversion over FreeVC and other public baselines.