JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
Published in
arXiv.org(2017)External Links:
TL
TL;DR
A novel Japanese speech corpus, named the "JSUT corpus," that is aimed at achieving end-to-end speech synthesis and consists of 10 hours of reading-style speech data and its transcription and covers all of the main pronunciations of daily-use Japanese characters.
Abstract
Thanks to improvements in machine learning techniques including deep learning, a free large-scale speech corpus that can be shared between academic institutions and commercial companies has an important role. However, such a corpus for Japanese speech synthesis does not exist. In this paper, we designed a novel Japanese speech corpus, named the "JSUT corpus," that is aimed at achieving end-to-end speech synthesis. The corpus consists of 10 hours of reading-style speech data and its transcription and covers all of the main pronunciations of daily-use Japanese characters. In this paper, we describe how we designed and analyzed the corpus. The corpus is freely available online.
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