  This paper introduces a new speech corpus called "LibriTTS" designed for
text-to-speech use. It is derived from the original audio and text materials of
the LibriSpeech corpus, which has been used for training and evaluating
automatic speech recognition systems. The new corpus inherits desired
properties of the LibriSpeech corpus while addressing a number of issues which
make LibriSpeech less than ideal for text-to-speech work. The released corpus
consists of 585 hours of speech data at 24kHz sampling rate from 2,456 speakers
and the corresponding texts. Experimental results show that neural end-to-end
TTS models trained from the LibriTTS corpus achieved above 4.0 in mean opinion
scores in naturalness in five out of six evaluation speakers. The corpus is
freely available for download from http://www.openslr.org/60/.
