Article

Cycle-consistent Generative Adversarial Networks (CycleGANs) for the Non-Parallel Creation of Fake Voice Media

2019-06-12

Abstract excerpt

The upsurge of Generative Adversarial Networks (GANs) in the previous five years has led to advancements in unsupervised data manipulation, sourced feature translation, and precise input-output synthesis through a competitive optimization of the discriminator and generator networks. More specifically, the recent rise of cycle-consistent GANs enables style transfers from a discrete source (input A) to target domain...

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Literature Corpus work: d77c16d1-7345-51c9-a32b-2e088795702d
DOI: 10.20944/preprints201906.0104.v1

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