CycleVAE optimizes non-parallel voice conversion indirectly via cyclic reconstructed spectra, yielding higher spectral accuracy, latent feature correlation, and improved converted speech quality.
StarGAN- VC: Non-parallel many-to-many voice conversion with star gene rative adversarial networks,
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Non-Parallel Voice Conversion with Cyclic Variational Autoencoder
CycleVAE optimizes non-parallel voice conversion indirectly via cyclic reconstructed spectra, yielding higher spectral accuracy, latent feature correlation, and improved converted speech quality.