2020
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
ICLR 2020talk
In this paper, we present a method for learning discrete linguistic units by incorporating vector quantization layers into neural models of visually grounded speech. We show that our method is capable of capturing both word-level and sub-word units, depending on how it is configured. What differenti…