no code implementations • ComputEL (ACL) 2022 • Séverine Guillaume, Guillaume Wisniewski, Cécile Macaire, Guillaume Jacques, Alexis Michaud, Benjamin Galliot, Maximin Coavoux, Solange Rossato, Minh-Châu Nguyên, Maxime Fily
This is a report on results obtained in the development of speech recognition tools intended to support linguistic documentation efforts.
no code implementations • ComputEL 2021 • Oliver Adams, Benjamin Galliot, Guillaume Wisniewski, Nicholas Lambourne, Ben Foley, Rahasya Sanders-Dwyer, Janet Wiles, Alexis Michaud, Séverine Guillaume, Laurent Besacier, Christopher Cox, Katya Aplonova, Guillaume Jacques, Nathan Hill
This paper reports on progress integrating the speech recognition toolkit ESPnet into Elpis, a web front-end originally designed to provide access to the Kaldi automatic speech recognition toolkit.
no code implementations • JEPTALNRECITAL 2020 • Alexis Michaud, Oliver Adams, S{\'e}verine Guillaume, Guillaume Wisniewski
Les syst{\`e}mes de reconnaissance automatique de la parole atteignent d{\'e}sormais des degr{\'e}s de pr{\'e}cision {\'e}lev{\'e}s sur la base d{'}un corpus d{'}entra{\^\i}nement limit{\'e} {\`a} deux ou trois heures d{'}enregistrements transcrits (pour un syst{\`e}me mono-locuteur).
no code implementations • LREC 2020 • Guillaume Wisniewski, S{\'e}verine Guillaume, Alexis Michaud
What is at stake is the accessibility of language archive data for a range of NLP tasks and beyond.
no code implementations • LREC 2020 • David R. Mortensen, Xinjian Li, Patrick Littell, Alexis Michaud, Shruti Rijhwani, Antonios Anastasopoulos, Alan W. black, Florian Metze, Graham Neubig
While phonemic representations are language specific, phonetic representations (stated in terms of (allo)phones) are much closer to a universal (language-independent) transcription.
no code implementations • JEPTALNRECITAL 2016 • Alexis Michaud, S{\'e}verine Guillaume, Guillaume Jacques, {\DJ}{\u{a}}ng-Khoa Mạc, Michel Jacobson, Thu-H{\`a} Phạm, Matthew Deo
La pr{\'e}sente communication pr{\'e}sente les projets scientifiques et les r{\'e}alisations de deux collections h{\'e}berg{\'e}es par la plateforme de ressources orales Cocoon : la Collection Pangloss, qui concerne principalement des langues de tradition orale (sans {\'e}criture), du monde entier ; et la Collection AuCo, d{\'e}di{\'e}e aux langues du Vietnam et de pays voisins.