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cs.CL2024
Visually Grounded Speech Models for Low-resource Languages and Cognitive Modelling
Leanne Nortje
This dissertation examines visually grounded speech (VGS) models that learn from unlabelled speech paired with images. It focuses on applications for low-resource languages and und…
cs.CL2024
Improved Visually Prompted Keyword Localisation in Real Low-Resource Settings
Leanne Nortje, Dan Oneata, Gabriel Pirlogeanu +1
Given an image query, visually prompted keyword localisation (VPKL) aims to find occurrences of the depicted word in a speech collection. This can be useful when transcriptions are…
cs.CL2024
Visually Grounded Speech Models have a Mutual Exclusivity Bias
Leanne Nortje, Dan Oneaţă, Yevgen Matusevych +1
When children learn new words, they employ constraints such as the mutual exclusivity (ME) bias: a novel word is mapped to a novel object rather than a familiar one. This bias has…