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TASLP
2010
97views more  TASLP 2010»
12 years 11 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
TASLP
2008
115views more  TASLP 2008»
13 years 4 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals
NAACL
2003
13 years 6 months ago
Getting More Mileage from Web Text Sources for Conversational Speech Language Modeling using Class-Dependent Mixtures
Sources of training data suitable for language modeling of conversational speech are limited. In this paper, we show how training data can be supplemented with text from the web ï...
Ivan Bulyko, Mari Ostendorf, Andreas Stolcke
MLMI
2007
Springer
13 years 11 months ago
Using Prosodic Features in Language Models for Meetings
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
Songfang Huang, Steve Renals
ICASSP
2009
IEEE
13 years 11 months ago
Filtering web text to match target genres
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...