[논문] Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations
https://arxiv.org/abs/1804.02812 Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio RepresentationsRecently, cycle-consistent adversarial network (Cycle-GAN) has been successfully applied to voice conversion to a different speaker without parallel data, although in those approaches an individual model is needed for each target speaker. In this paper,..
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2024. 5. 9.