Abstract:
We present Catotron, a neural network-based open-source
speech synthesis system in Catalan. Catotron consists of
a sequence-to-sequence model trained with two small opensource
datasets based on semi-spontaneous and read speech.
We demonstrate how a neural TTS can be built for languages
with limited resources using found-data optimization and crosslingual
transfer learning. We make the datasets, initial models
and source code publicly available for both commercial and research
purposes.
