JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research

DOI Web Site 被引用文献7件 参考文献17件 オープンアクセス
  • Takamichi Shinnosuke
    Graduate School of Information Science and Technology, The University of Tokyo
  • Sonobe Ryosuke
    Graduate School of Information Science and Technology, The University of Tokyo
  • Mitsui Kentaro
    Graduate School of Information Science and Technology, The University of Tokyo
  • Saito Yuki
    Graduate School of Information Science and Technology, The University of Tokyo
  • Koriyama Tomoki
    Graduate School of Information Science and Technology, The University of Tokyo
  • Tanji Naoko
    Graduate School of Information Science and Technology, The University of Tokyo
  • Saruwatari Hiroshi
    Graduate School of Information Science and Technology, The University of Tokyo

この論文をさがす

説明

<p>In this paper, we develop two corpora for speech synthesis research. Thanks to improvements in machine learning techniques, including deep learning, speech synthesis is becoming a machine learning task. To accelerate speech synthesis research, we aim at developing Japanese voice corpora reasonably accessible from not only academic institutions but also commercial companies. In this paper, we construct the JSUT and JVS corpora. They are designed mainly for text-to-speech synthesis and voice conversion, respectively. The JSUT corpus contains 10 hours of reading-style speech uttered by a single speaker, and the JVS corpus contains 30 hours containing three styles of speech uttered by 100 speakers. This paper describes how we designed the corpora and summarizes the specifications. The corpora are available at our project pages.</p>

収録刊行物

被引用文献 (7)*注記

もっと見る

参考文献 (17)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ