Google Research

A Step-by-Step Process for Building TTS Voices Using Open Source Data and Framework for Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese

Proc. The 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages (2018), pp. 66-70

Abstract

The availability of language resources is vital for the development of text-to-speech (TTS) systems. Thus, open source data and tools are highly beneficial for research communities, especially those focusing on low-resourced languages. In this paper, we present data sets for 6 low-resourced languages that we open sourced to the public. The data sets consist of audio files, pronunciation lexicons, and phonology definitions of Bangla, Javanese, Khmer, Nepali, Sinhala, and Sundanese. These data sets are sufficient for building TTS voices in these languages. We also describe a recipe for building a new TTS voice using our data together with openly available resources and tools.

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