Using Resources from a Closely-related Language to Develop ASR for a Very Under-resourced Language: A Case Study for Iban

This paper presents our strategies for developing an automatic speech recognition system for Iban, an under-resourced language. We faced several challenges such as no pronunciation dictionary and lack of training material for building acoustic models. To overcome these problems, we proposed approach...

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Main Authors: Juan, Sarah Samson, Besacier, Laurent, Lecouteux, Benjamin, Dyab, Mohamed
格式: Conference or Workshop Item
語言:English
出版: 2015
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在線閱讀:http://ir.unimas.my/id/eprint/8883/1/IS2015_samsonjuan_camera-ready.pdf
http://ir.unimas.my/id/eprint/8883/
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