A zero-shot voice conversion model that uses discrete prosody tokens and a mask transformer to control speaking style while converting voice.
Sef-vc: Speaker embedding free zero-shot voice conversion with cross attention,
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Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion
A zero-shot voice conversion model that uses discrete prosody tokens and a mask transformer to control speaking style while converting voice.