Using Closely-related Language to Build an ASR for a Very Under-resourced Language: Iban
This paper describes our work on automatic speech recognition system (ASR) for an under-resourced language, namely the Iban language, which is spoken in Sarawak, a Malaysian Borneo state. To begin this study, we collected 8 hours of speech data due to no resources yet for ASR concerning this lang...
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| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2014
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/8881/1/COCOSDA-sarahsamsonjuan.pdf http://ir.unimas.my/id/eprint/8881/ |
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