ReadAlong Studio: Practical Zero-Shot Text-Speech Alignment for Indigenous Language Audiobooks

2 code implementations • SIGUL (LREC) 2022 • Patrick Littell, Eric Joanis, Aidan Pine, Marc Tessier, David Huggins Daines, Delasie Torkornoo

While the alignment of audio recordings and text (often termed “forced alignment”) is often treated as a solved problem, in practice the process of adapting an alignment system to a new, under-resourced language comes with significant challenges, requiring experience and expertise that many outside of the speech community lack.

G_i2P_i Rule-based, index-preserving grapheme-to-phoneme transformations

no code implementations • ComputEL (ACL) 2022 • Aidan Pine, Patrick William Littell, Eric Joanis, David Huggins-Daines, Christopher Cox, Fineen Davis, Eddie Antonio Santos, Shankhalika Srikanth, Delasie Torkornoo, Sabrina Yu

This paper describes the motivation and implementation details for a rule-based, index-preserving grapheme-to-phoneme engine ‘G_i2P_i' implemented in pure Python and released under the open source MIT license.

Requirements and Motivations of Low-Resource Speech Synthesis for Language Revitalization

1 code implementation • ACL 2022 • Aidan Pine, Dan Wells, Nathan Brinklow, Patrick Littell, Korin Richmond

This paper describes the motivation and development of speech synthesis systems for the purposes of language revitalization.

Speech Synthesis

An Initial Investigation of Language Adaptation for TTS Systems under Low-resource Scenarios

1 code implementation • 13 Jun 2024 • Cheng Gong, Erica Cooper, Xin Wang, Chunyu Qiang, Mengzhe Geng, Dan Wells, Longbiao Wang, Jianwu Dang, Marc Tessier, Aidan Pine, Korin Richmond, Junichi Yamagishi

Self-supervised learning (SSL) representations from massively multilingual models offer a promising solution for low-resource language speech tasks.

Language Identification Self-Supervised Learning

The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software

no code implementations • COLING 2020 • Roland Kuhn, Fineen Davis, Alain D{\'e}silets, Eric Joanis, Anna Kazantseva, Rebecca Knowles, Patrick Littell, Delaney Lothian, Aidan Pine, Caroline Running Wolf, Eddie Santos, Darlene Stewart, Gilles Boulianne, Vishwa Gupta, Brian Maracle Owennat{\'e}kha, Akwirat{\'e}kha{'} Martin, Christopher Cox, Marie-Odile Junker, Olivia Sammons, Delasie Torkornoo, Nathan Thanyeht{\'e}nhas Brinklow, Sara Child, Beno{\^\i}t Farley, David Huggins-Daines, Daisy Rosenblum, Heather Souter

This paper surveys the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in Canada in preserving their languages and extending their use.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Indigenous language technologies in Canada: Assessment, challenges, and successes

no code implementations • COLING 2018 • Patrick Littell, Anna Kazantseva, Rol Kuhn, , Aidan Pine, Antti Arppe, Christopher Cox, Marie-Odile Junker

In this article, we discuss which text, speech, and image technologies have been developed, and would be feasible to develop, for the approximately 60 Indigenous languages spoken in Canada.

Optical Character Recognition Optical Character Recognition (OCR) +7

Kawenn\'on:nis: the Wordmaker for Kanyen'k\'eha

no code implementations • COLING 2018 • Anna Kazantseva, Owennatekha Brian Maracle, Ronkwe{'}tiy{\'o}hstha Josiah Maracle, Aidan Pine

In this paper we describe preliminary work on Kawenn{\'o}n:nis, a verb conjugator for Kanyen{'}k{\'e}ha (Ohsweken dialect).

Language Modeling Language Modelling

Waldayu and Waldayu Mobile: Modern digital dictionary interfaces for endangered languages

no code implementations • WS 2017 • Patrick Littell, Aidan Pine, Henry Davis