JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research
Shinnosuke Takamichi, Ryosuke Sonobe, Kentaro Mitsui, Yuki Saito, Tomoki Koriyama, Naoko Tanji, Hiroshi Saruwatari
Abstract
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.