1 code implementation • 14 Mar 2022 • Danny Merkx, Sebastiaan Scholten, Stefan L. Frank, Mirjam Ernestus, Odette Scharenborg
We furthermore investigate whether vector quantisation, a technique for discrete representation learning, aids the model in the discovery and recognition of words.
1 code implementation • CMCL (ACL) 2022 • Danny Merkx, Stefan L. Frank, Mirjam Ernestus
In this paper we create visually grounded word embeddings by combining English text and images and compare them to popular text-based methods, to see if visual information allows our model to better capture cognitive aspects of word meaning.
1 code implementation • 16 Jun 2021 • Danny Merkx, Stefan L. Frank, Mirjam Ernestus
This study addresses the question whether visually grounded speech recognition (VGS) models learn to capture sentence semantics without access to any prior linguistic knowledge.
1 code implementation • 9 Sep 2019 • Danny Merkx, Stefan L. Frank, Mirjam Ernestus
Humans learn language by interaction with their environment and listening to other humans.
no code implementations • LREC 2014 • Mirjam Ernestus, Lucie Ko{\v{c}}kov{\'a}-Amortov{\'a}, Petr Pollak
All speakers were native speakers of Czech, raised in Prague or in the region of Central Bohemia, and were between 19 and 26 years old.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1