1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2021★ 1 cited
Conditional Deep Hierarchical Variational Autoencoder for Voice Conversion
Kei Akuzawa, Kotaro Onishi, Keisuke Takiguchi +2
Variational autoencoder-based voice conversion (VAE-VC) has the advantage of requiring only pairs of speeches and speaker labels for training. Unlike the majority of the research i…
cs.LG2018
Investigating context features hidden in End-to-End TTS
Kohki Mametani, Tsuneo Kato, Seiichi Yamamoto
Recent studies have introduced end-to-end TTS, which integrates the production of context and acoustic features in statistical parametric speech synthesis. As a result, a single ne…