CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages

Kyubyong Park, Thomas Mulc


We describe our development of CSS10, a collection of single speaker speech datasets for ten languages. It is composed of short audio clips from LibriVox audiobooks and their aligned texts. To validate its quality we train two neural text-to-speech models on each dataset. Subsequently, we conduct Mean Opinion Score tests on the synthesized speech samples. We make our datasets, pre-trained models, and test resources publicly available. We hope they will be used for future speech tasks.


 DOI: 10.21437/Interspeech.2019-1500

Cite as: Park, K., Mulc, T. (2019) CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages. Proc. Interspeech 2019, 1566-1570, DOI: 10.21437/Interspeech.2019-1500.


@inproceedings{Park2019,
  author={Kyubyong Park and Thomas Mulc},
  title={{CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={1566--1570},
  doi={10.21437/Interspeech.2019-1500},
  url={http://dx.doi.org/10.21437/Interspeech.2019-1500}
}