Google Crowdsourced Speech Corpora and Related Open-Source Resources for Low-Resource Languages and Dialects: An Overview

1 code implementation • 14 Oct 2020 • Alena Butryna, Shan-Hui Cathy Chu, Isin Demirsahin, Alexander Gutkin, Linne Ha, Fei He, Martin Jansche, Cibu Johny, Anna Katanova, Oddur Kjartansson, Chenfang Li, Tatiana Merkulova, Yin May Oo, Knot Pipatsrisawat, Clara Rivera, Supheakmungkol Sarin, Pasindu De Silva, Keshan Sodimana, Richard Sproat, Theeraphol Wattanavekin, Jaka Aris Eko Wibawa

This paper presents an overview of a program designed to address the growing need for developing freely available speech resources for under-represented languages.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Building Open Javanese and Sundanese Corpora for Multilingual Text-to-Speech

no code implementations • LREC 2018 • Jaka Aris Eko Wibawa, Supheakmungkol Sarin, Chenfang Li, Knot Pipatsrisawat, Keshan Sodimana, Oddur Kjartansson, Alex Gutkin, er, Martin Jansche, Linne Ha

Automatic Speech Recognition (ASR) Speech Synthesis +1

Community-Driven Crowdsourcing: Data Collection with Local Developers

no code implementations • LREC 2018 • Christina Funk, Michael Tseng, Ravindran Rajakumar, Linne Ha

TTS for Low Resource Languages: A Bangla Synthesizer

no code implementations • LREC 2016 • Alex Gutkin, er, Linne Ha, Martin Jansche, Knot Pipatsrisawat, Richard Sproat

We present a text-to-speech (TTS) system designed for the dialect of Bengali spoken in Bangladesh.

Text to Speech

A Database for Measuring Linguistic Information Content

no code implementations • LREC 2014 • Richard Sproat, Bruno Cartoni, HyunJeong Choe, David Huynh, Linne Ha, Ravindran Rajakumar, Evelyn Wenzel-Grondie

But it is a question that seems as if it ought to have an answer.