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.
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.
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)
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