… the sound quality of the CycleGAN based voice conversion. In … to use the conditional
cycle-consistent adversarial network (CC… non-parallel voice conversion method called the …

… This is very important for emotional voice conversion, since we do not want to change the lin…
, “High-quality nonparallel voice conversion based on cycle-consistent adversarial network,” …

… and the non-parallel dataset [1], the voice conversion methods … to use Cycle-consistent
Generative Adversarial Networks (… is using the two generative adversarial networks (GAN) to map …

… Voice conversion from unaligned corpora using variational autoencoding Wasserstein generative
adversarial networks… free voice conversion using cycle-consistent adversarial networks,…

… Voice Conversion(VC) refers to the personalized characteristics of the source speaker's voice
and makes it sound like the target speaker's voice… Amdo Dialect in non parallel corpus. The …

… Abstract—This paper proposes Scyclone, a high-quality voice conversion (VC) technique …
, “High-quality nonparallel voice conversion based on cycle-consistent adversarial network,” in …

… This technique produces high quality converted singing voice … Recently neural network
based voice conversion techniques … the performance of non-parallel singing voice conversion. …

… sarial network for singing voice conversion on non-parallel data. … Adversarial Networks; 2)
we achieve high quality converted … Cycle Consistent Adversarial Networks have shown to be ef…

… voice conversion (VC) based on neural networks have been proposed [1], and the conversion
… is desirable to operate with low latency and high quality on edge devices using only CPU. …

… , Cycle-Consistent Generative Adversarial Networks based … While GMM-based voice
conversion can generate the speech … , the quality of the converted speech is not good enough due …