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Cycle GAN VC 3 and Mask Cycle GAN VC논문 리뷰 2022. 5. 11. 21:02
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion (arxiv.org)
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-spectrogram Conversion
Non-parallel voice conversion (VC) is a technique for learning mappings between source and target speeches without using a parallel corpus. Recently, cycle-consistent adversarial network (CycleGAN)-VC and CycleGAN-VC2 have shown promising results regarding
arxiv.org
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames (arxiv.org)
MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in Frames
Non-parallel voice conversion (VC) is a technique for training voice converters without a parallel corpus. Cycle-consistent adversarial network-based VCs (CycleGAN-VC and CycleGAN-VC2) are widely accepted as benchmark methods. However, owing to their insuf
arxiv.org
MaskCycleGAN-VC
Non-parallel voice conversion (VC) is a technique for training voice converters without a parallel corpus. Cycle-consistent adversarial network-based VCs (CycleGAN-VC [1] and CycleGAN-VC2 [2]) are widely accepted as benchmark methods. However, owing to the
www.kecl.ntt.co.jp
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