1 citations · 1 across the 10 of their papers we have counts for
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Visually grounded few-shot word learning in low-resource settings
Leanne Nortje, Dan Oneata, Herman Kamper
We propose a visually grounded speech model that learns new words and their visual depictions from just a few word-image example pairs. Given a set of test images and a spoken quer…
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing
Benjamin van Niekerk, Leanne Nortje, Matthew Baas +1
Contrastive predictive coding (CPC) aims to learn representations of speech by distinguishing future observations from a set of negative examples. Previous work has shown that line…
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge
Benjamin van Niekerk, Leanne Nortje, Herman Kamper
In this paper, we explore vector quantization for acoustic unit discovery. Leveraging unlabelled data, we aim to learn discrete representations of speech that separate phonetic con…