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Unsupervised acoustic model training: comparing South African English and isiZulu

Author: Kleynhans, N ; De Wet, Febe ; Barnard, E Date: Nov 2015 Large amounts of untranscribed audio data are generated every day. These audio resources can be used to develop robust acoustic models that can be used in a variety of speech-based systems. Manually transcribing this data is resource intensive ... Read more

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Browsing by Subject "Lightly-supervised training"

Browsing by Subject "Lightly-supervised training"

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