178 citations · 407 across the 40 of their papers we have counts for
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stat.ML2018★ 48 cited
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka +1
This paper proposes a non-parallel many-to-many voice conversion (VC) method using a variant of the conditional variational autoencoder (VAE) called an auxiliary classifier VAE (AC…
stat.ML2017★ 178 cited
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Takuhiro Kaneko, Hirokazu Kameoka
We propose a parallel-data-free voice-conversion (VC) method that can learn a mapping from source to target speech without relying on parallel data. The proposed method is general…