Search Results for author: Aidan Pine

Found 7 papers, 2 papers with code

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.

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.

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 Modelling

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