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[Paper 리뷰] Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion
Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice ConversionZero-shot Voice Conversion은 source speaker의 speaking style을 accurately replicate 하는데 한계가 있음Discl-VCContent, prosody information을 self-supervised speech representation으로부터 disentangleFlow Matching Transformer와 in-context learning을 통해 target speaker voice를 합성논문 (INTERSPEECH 2025) : Paper Link1..
Paper/Conversion
2025. 9. 13. 07:50
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