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ICASSP
2009
IEEE

Filtering web text to match target genres

10 years 4 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 favoring more data. For conversational speech, having some genre-matched text is particularly important, but also hard to obtain. This paper proposes a new approach for genre detection and compares different alternatives for filtering web text for genre to improve language models for use in automatic transcription of broadcast conversations (talk shows).
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Marius A. Marin, Sergey Feldman, Mari Ostendorf, M. Gupta
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