Criteria for Useful Automatic Romanization in South Asian Languages

no code implementations • LREC 2022 • Isin Demirsahin, Cibu Johny, Alexander Gutkin, Brian Roark

This paper presents a number of possible criteria for systems that transliterate South Asian languages from their native scripts into the Latin script, a process known as romanization.

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) +1

Processing South Asian Languages Written in the Latin Script: the Dakshina Dataset

1 code implementation • LREC 2020 • Brian Roark, Lawrence Wolf-Sonkin, Christo Kirov, Sabrina J. Mielke, Cibu Johny, Isin Demirsahin, Keith Hall

This paper describes the Dakshina dataset, a new resource consisting of text in both the Latin and native scripts for 12 South Asian languages.

Language Modelling Sentence +1

Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech

no code implementations • LREC 2020 • Adriana Guevara-Rukoz, Isin Demirsahin, Fei He, Shan-Hui Cathy Chu, Supheakmungkol Sarin, Knot Pipatsrisawat, Alex Gutkin, er, Alena Butryna, Oddur Kjartansson

In this paper we present a multidialectal corpus approach for building a text-to-speech voice for a new dialect in a language with existing resources, focusing on various South American dialects of Spanish.

Open-source Multi-speaker Speech Corpora for Building Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu Speech Synthesis Systems

no code implementations • LREC 2020 • Fei He, Shan-Hui Cathy Chu, Oddur Kjartansson, Clara Rivera, Anna Katanova, Alex Gutkin, er, Isin Demirsahin, Cibu Johny, Martin Jansche, Supheakmungkol Sarin, Knot Pipatsrisawat

We present free high quality multi-speaker speech corpora for Gujarati, Kannada, Malayalam, Marathi, Tamil and Telugu, which are six of the twenty two official languages of India spoken by 374 million native speakers.

Speech Synthesis

Open-source Multi-speaker Corpora of the English Accents in the British Isles

no code implementations • LREC 2020 • Isin Demirsahin, Oddur Kjartansson, Alex Gutkin, er, Clara Rivera

This paper presents a dataset of transcribed high-quality audio of English sentences recorded by volunteers speaking with different accents of the British Isles.

Open-Source High Quality Speech Datasets for Basque, Catalan and Galician

no code implementations • LREC 2020 • Oddur Kjartansson, Alex Gutkin, er, Alena Butryna, Isin Demirsahin, Clara Rivera

This paper introduces new open speech datasets for three of the languages of Spain: Basque, Catalan and Galician.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

A Syntactically Expressive Morphological Analyzer for Turkish

no code implementations • WS 2019 • Adnan Ozturel, Tolga Kayadelen, Isin Demirsahin

We present a broad coverage model of Turkish morphology and an open-source morphological analyzer that implements it.

Language Modelling