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Leveraging relevance cues for language modeling in speech recognition

✍ Scribed by Chen, Berlin; Chen, Kuan-Yu


Book ID
120529380
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
336 KB
Volume
49
Category
Article
ISSN
0306-4573

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The aim of this work is to show the ability of stochastic regular grammars to generate accurate language models which can be well integrated, allocated and handled in a continuous speech recognition system. For this purpose, a syntactic version of the well-known n-gram model, called k-testable langu