Noro adds a dual-branch reference encoder and a contrastive speaker loss so one-shot voice conversion stays accurate when the reference clip is noisy, and its reference encoder doubles as a competitive self-supervised speaker encoder.
Diffusion-Based V oice Con- version with Fast Maximum Likelihood Sampling Scheme,
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Noro: Noise-Robust One-shot Voice Conversion with Hidden Speaker Representation Learning
Noro adds a dual-branch reference encoder and a contrastive speaker loss so one-shot voice conversion stays accurate when the reference clip is noisy, and its reference encoder doubles as a competitive self-supervised speaker encoder.