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An investigation into spoken audio topic identification using the Fisher Corpus

Author: Kleynhans, N Date: Nov 2014 There are many services that generate or archive vast amounts of spoken audio data, on a daily basis. It is infeasible for humans to create annotations, by listening to all this data, so automatic methods are needed to process the data and ... Read more

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Browsing by Subject "LSA"

Browsing by Subject "LSA"

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