1 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Low-resource keyword spotting using contrastively trained transformer acoustic word embeddings
Julian Herreilers, Christiaan Jacobs, Thomas Niesler
We introduce a new approach, the ContrastiveTransformer, that produces acoustic word embeddings (AWEs) for the purpose of very low-resource keyword spotting. The ContrastiveTransfo…
Speech Recognition for Automatically Assessing Afrikaans and isiXhosa Preschool Oral Narratives
Christiaan Jacobs, Annelien Smith, Daleen Klop +3
We develop automatic speech recognition (ASR) systems for stories told by Afrikaans and isiXhosa preschool children. Oral narratives provide a way to assess children's language dev…
Multilingual acoustic word embeddings for zero-resource languages
Christiaan Jacobs
This research addresses the challenge of developing speech applications for zero-resource languages that lack labelled data. It specifically uses acoustic word embedding (AWE) -- f…
Leveraging multilingual transfer for unsupervised semantic acoustic word embeddings
Christiaan Jacobs, Herman Kamper
Acoustic word embeddings (AWEs) are fixed-dimensional vector representations of speech segments that encode phonetic content so that different realisations of the same word have si…