no code implementations • 3 Feb 2024 • Nay San, Georgios Paraskevopoulos, Aryaman Arora, Xiluo He, Prabhjot Kaur, Oliver Adams, Dan Jurafsky
Continued pre-training on 70-200 hours of untranscribed speech in these languages can help -- but what about languages without that much recorded data?
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
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.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
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 • Arya D. McCarthy, Rachel Wicks, Dylan Lewis, Aaron Mueller, Winston Wu, Oliver Adams, Garrett Nicolai, Matt Post, David Yarowsky
The corpus consists of over 4000 unique translations of the Christian Bible and counting.
1 code implementation • WS 2020 • Oliver Adams, Matthew Wiesner, Jan Trmal, Garrett Nicolai, David Yarowsky
We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants.
no code implementations • NAACL 2019 • Oliver Adams, Matthew Wiesner, Shinji Watanabe, David Yarowsky
We report on adaptation of multilingual end-to-end speech recognition models trained on as many as 100 languages.
no code implementations • EACL 2017 • Oliver Adams, Adam Makarucha, Graham Neubig, Steven Bird, Trevor Cohn
We investigate the use of such lexicons to improve language models when textual training data is limited to as few as a thousand sentences.
no code implementations • WS 2016 • Oliver Adams, Shourya Roy, Raghuram Krishnapuram
We address the problem of automatic short answer grading, evaluating a collection of approaches inspired by recent advances in distributional text representations.