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Hierarchical Bayesian Language Models for Conversational Speech Recognition

✍ Scribed by Songfang Huang; Renals, S.


Book ID
114599346
Publisher
Institute of Electrical and Electronics Engineers
Year
2010
Tongue
English
Weight
987 KB
Volume
18
Category
Article
ISSN
1558-7916

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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