Abstract：Different sub-lexical units used in hybrid model often provide complementary information for each other during out-of-vocabulary (OOV) words recognition. In this paper, a lattice combination method of complement sub-lexical units for out-of-vocabulary words recognition is proposed. Firstly, two hybrid model systems with performance difference are built respectively by using syllables and graphones. Next, the recognition lattices are obtained from the built systems and the sub-lexical units are preprocessed for the purpose of combination. Finally, the combination strategies based on lattices union and lattices intersection are respectively explored to combine the lattices to acquire the better result of OOV Words recognition . The experimental results show the proposed method is superior to individual system and the recognizer output voting error reduction (ROVER) system in OOV words recognition.
范正光，屈丹，陈斌. 基于互补子词单元词图融合的集外词识别*[J]. 模式识别与人工智能, 2016, 29(4): 350-358.
FAN Zhengguang, QU Dan, CHEN Bin. Out-of-Vocabulary Word Recognition Based on Lattice Combination of Complement Sub-lexical Units. , 2016, 29(4): 350-358.
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2016, Vol. 29 
