CycleGAN [238–240], VAE [82, 235, 595], and VAE with the generative adversarial network [191]
are other popular VC other popular approaches for non-parallel-voice conversion. CycleGAN-VC
[238] uses a cycle-consistent adversarial network to convert the source voice to the target voice and
can generate high-quality speech without any extra data, modules, or alignment procedure. Several
improvements and modifications are also proposed in recent years [191, 239, 240]. VAE-based voice
conversion is a promising approach that can generate high-quality speech with a small amount of
training data [82, 235, 595].
AReviewofDeepLearningTechniquesforSpeechProcessing