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

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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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Bibliographic Details
Main Authors:	Juan, Sarah Samson, Besacier, Laurent, Lecouteux, Benjamin, Dyab, Mohamed
Format:	Proceeding
Language:	English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/8883/ http://ir.unimas.my/id/eprint/8883/1/IS2015_samsonjuan_camera-ready.pdf

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