Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview
Year: 2020
Type: preprint
Abstract: This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages. At present we have released 38 datasets for building text-to-speech and automatic speech recognition applications for languages and dialects of South and Southeast Asia, Africa, Europe and South America. The paper describes the methodology used for developing such corpora and presents some of our findings that could benefit under-represented language communities.
Source: arXiv (Cornell University)
Authors: Butryna, Alena, Chu, Shan-Hui Cathy, Demirsahin, Isin, Gutkin, Alexander, Ha, Linne, He, Fei, Jansche, Martin, Johny, Cibu, Katanova, Anna, Kjartansson, Oddur, Li, Chenfang, Merkulova, Tatiana, Oo, Yin May, Pipatsrisawat, Knot, Rivera, Clara, Sarin, Supheakmungkol, de Silva, Pasindu, Sodimana, Keshan, Sproat, Richard, Wattanavekin, Theeraphol, Wibawa, Jaka Aris Eko
Institution: Google (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: green
OpenAlex ID: W3017166036