JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
Computation and Language
2017-11-02 v1
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.
Keywords
Cite
@article{arxiv.1711.00354,
title = {JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis},
author = {Ryosuke Sonobe and Shinnosuke Takamichi and Hiroshi Saruwatari},
journal= {arXiv preprint arXiv:1711.00354},
year = {2017}
}
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Submitted to ICASSP2018