Abstract

Generic speech recognition systems typically use language models that are trained to cope with a b variety of input. However, many recognition applications are more constrained, often to a specific or domain. In cases such as these, a knowledge of the particular topic can be used to advantage. report describes the development of a number of techniques for augmenting domain-specific lang models with dam from a more general source.

Citations