July 6, 2022, 1:11 a.m. | Ryo Terashima, Ryuichi Yamamoto, Eunwoo Song, Yuma Shirahata, Hyun-Wook Yoon, Jae-Min Kim, Kentaro Tachibana

cs.LG updates on arXiv.org arxiv.org

Data augmentation via voice conversion (VC) has been successfully applied to
low-resource expressive text-to-speech (TTS) when only neutral data for the
target speaker are available. Although the quality of VC is crucial for this
approach, it is challenging to learn a stable VC model because the amount of
data is limited in low-resource scenarios, and highly expressive speech has
large acoustic variety. To address this issue, we propose a novel data
augmentation method that combines pitch-shifting and VC techniques. Because …

arxiv augmentation conversion data emotion shift speech text text-to-speech transfer voice

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