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ICASSP
2008
IEEE

Referential semantic language modeling for data-poor domains

13 years 10 months ago
Referential semantic language modeling for data-poor domains
This paper describes a referential semantic language model that achieves accurate recognition in user-defined domains with no available domain-specific training corpora. This model is interesting in that, unlike similar recent systems, it exploits context dynamically, using incremental processing and limited stack memory of an HMMlike time series model to constrain search.
Stephen Wu, Lane Schwartz, William Schuler
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Stephen Wu, Lane Schwartz, William Schuler
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