most citedCross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples

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eess.AS2019

Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion

Orhan Ocal, Oguz H. Elibol, Gokce Keskin +3

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 enc…