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

CSS10 includes datasets of short audio clips from LibriVox audiobooks for ten languages, validated by neural text-to-speech models and Mean Opinion Score tests.

Year
2019
Venue
arXiv 2019
Authors
2
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arxiv.org/abs/1903.11269v3ARXIV-DEFAULT
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Abstract

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.

Authors

2