Eidos: An Open-Source Auditory Periphery Modeling Toolkit and Evaluation of Cross-Lingual Phonemic Contrasts

no code implementations • LREC 2020 • Alex Gutkin, er

While the auditory periphery mechanisms responsible for transducing the sound pressure wave into the auditory nerve discharge are relatively well understood, the models that describe them are usually very complex because they try to faithfully simulate the behavior of several functionally distinct biological units involved in hearing.

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

Burmese Speech Corpus, Finite-State Text Normalization and Pronunciation Grammars with an Application to Text-to-Speech

no code implementations • LREC 2020 • Yin May Oo, Theeraphol Wattanavekin, Chenfang Li, Pasindu De Silva, Supheakmungkol Sarin, Knot Pipatsrisawat, Martin Jansche, Oddur Kjartansson, Alex Gutkin, er

This paper introduces an open-source crowd-sourced multi-speaker speech corpus along with the comprehensive set of finite-state transducer (FST) grammars for performing text normalization for the Burmese (Myanmar) language.

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.

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

FonBund: A Library for Combining Cross-lingual Phonological Segment Data

1 code implementation • LREC 2018 • Alex Gutkin, er, Martin Jansche, Tatiana Merkulova

Language Modelling Speech Synthesis

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.