CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
This provides a resource for speech tasks, but it is incremental as it builds on existing datasets and methods.
The authors developed CSS10, a collection of single-speaker speech datasets for 10 languages using LibriVox audiobooks, and validated it by training neural text-to-speech models and conducting Mean Opinion Score tests on synthesized speech.
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.