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

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

27 Mar 2019arXiv:1903.11269archive 2025-07-28

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.

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