2019
Adversarially Trained Autoencoders for Parallel-data-free Voice Conversion
ICASSP 2019accepted
We present a method for converting the voices between a set of speakers. Our method is based on training multiple autoencoder paths, where there is a single speaker-independent encoder and multiple speaker-dependent decoders. The autoencoders are trained with an addition of an adversarial loss which…