Browsing Faculty of Engineering by Subject "Resource-scarce languages"
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Collecting and evaluating speech recognition corpora for 11 South African languages
(Springer, 2011)We describe the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which contains data from the eleven official languages of South Africa. Because of practical constraints, the amount of ...