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: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8883/1/IS2015_samsonjuan_camera-ready.pdf http://ir.unimas.my/id/eprint/8883/ |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |