CycleVAE optimizes non-parallel voice conversion indirectly via cyclic reconstructed spectra, yielding higher spectral accuracy, latent feature correlation, and improved converted speech quality.
Continuous probabilis- tic transform for voice conversion,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.