1 code implementation • 14 Jul 2021 • Afra Alishahia, Grzegorz Chrupała, Alejandrina Cristia, Emmanuel Dupoux, Bertrand Higy, Marvin Lavechin, Okko Räsänen, Chen Yu
We present the visually-grounded language modelling track that was introduced in the Zero-Resource Speech challenge, 2021 edition, 2nd round.
1 code implementation • EMNLP (BlackboxNLP) 2021 • Bertrand Higy, Lieke Gelderloos, Afra Alishahi, Grzegorz Chrupała
The distributed and continuous representations used by neural networks are at odds with representations employed in linguistics, which are typically symbolic.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Bertrand Higy, Desmond Elliott, Grzegorz Chrupała
Visually-grounded models of spoken language understanding extract semantic information directly from speech, without relying on transcriptions.
1 code implementation • ACL 2020 • Grzegorz Chrupała, Bertrand Higy, Afra Alishahi
Given the fast development of analysis techniques for NLP and speech processing systems, few systematic studies have been conducted to compare the strengths and weaknesses of each method.
no code implementations • 8 Nov 2018 • Bertrand Higy, Peter Bell
End-to-end approaches have recently become popular as a means of simplifying the training and deployment of speech recognition systems.