Semi-supervised G2P Bootstrapping and Its Application to ASR for a Very Under-resourced Language: Iban

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Semi-supervised G2P Bootstrapping and Its Application to ASR for a Very Under-resourced Language: Iban

This paper describes our experiments and results on using a local dominant language in Malaysia (Malay), to bootstrap automatic speech recognition (ASR) for a very under-resourced language: Iban (also spoken in Malaysia on the Borneo Island part). Resources in Iban for building a speech recognition...

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Bibliographic Details
Main Authors:	Juan, Sarah Samson, Besacier, Laurent, Rossato, Solange
Format:	Proceeding
Language:	English
Published:	2014
Subjects:	Q Science (General) QA75 Electronic computers. Computer science
Online Access:	http://ir.unimas.my/id/eprint/8879/ http://ir.unimas.my/id/eprint/8879/1/sltu2014_sarah.pdf

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