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|Title:||A weighted combination of speech with text-based models for arabic diacritization||Authors:||Azim, A.S.
|Issue Date:||2012||Citation:||Azim, A.S.,Wang, X.,Sim, K.C. (2012). A weighted combination of speech with text-based models for arabic diacritization. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 3 : 2331-2334. ScholarBank@NUS Repository.||Abstract:||The majority of studies on Arabic diacritization have employed textually inferred features alone. This paper proposes a novel approach, where the weighted combination of speech with a text-based model is used to allow linguistically-insensitive acoustic information to correct and complement the errors generated by the text model's diacritic predictions. The acoustic model is based on Hidden Markov Models and the textual model on Conditional Random Fields. The combination brings significant reduction in error rates across all metrics, especially in case endings, which are the most difficult to predict. It gives results superior to those of conventional methods, with diacritic and word error rates of 1.5 and 4.9 inclusive of case endings, and 1.0 and 2.7 exclusive of them.||Source Title:||13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012||URI:||http://scholarbank.nus.edu.sg/handle/10635/77993||ISBN:||9781622767595|
|Appears in Collections:||Staff Publications|
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