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• W1488211819 abstract "In this work, multiple hierarchical language modeling strategies for a zero OOV rate large vocabulary continuous speech recognition system are investigated. In our previously proposed hierarchical approach, a full-word language model and a context independent character-level LM (CLM) are directly used during search. The novelty of this work is to jointly model the character-level prior and the pronunciation probabilities, to introduce across-word context into the characterlevel LM, and to properly normalize the character-level LM using prefix-tree based normalization for the hierarchical approach. Significant reductions in-terms of word error rates (WER) on the best full-word Quaero Polish LVCSR system are reported." @default.
• W1488211819 created "2016-06-24" @default.
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• W1488211819 date "2015-04-01" @default.
• W1488211819 modified "2023-09-25" @default.
• W1488211819 title "Improved strategies for a zero oov rate LVCSR system" @default.
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• W1488211819 doi "https://doi.org/10.1109/icassp.2015.7178932" @default.
• W1488211819 hasPublicationYear "2015" @default.
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