CSS10: A Collection of Single Speaker Speech Datasets for 10 Languages
TL
TL;DR
The development of CSS10 is described, a collection of single speaker speech datasets for ten languages composed of short audio clips from LibriVox audiobooks and their aligned texts, and two neural text-to-speech models are trained.
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.
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The Blizzard Challenge 2018
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Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
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JSUT corpus: free large-scale Japanese speech corpus for end-to-end speech synthesis
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