Aug. 4, 2022, 1:11 a.m. | Wei-Ping Huang, Po-Chun Chen, Sung-Feng Huang, Hung-yi Lee

cs.LG updates on arXiv.org arxiv.org

This paper studies a transferable phoneme embedding framework that aims to
deal with the cross-lingual text-to-speech (TTS) problem under the few-shot
setting. Transfer learning is a common approach when it comes to few-shot
learning since training from scratch on few-shot training data is bound to
overfit. Still, we find that the naive transfer learning approach fails to
adapt to unseen languages under extremely few-shot settings, where less than 8
minutes of data is provided. We deal with the problem by …

arxiv cross-lingual embedding tts

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