Title :
Hybrid language models and spontaneous legal discourse
Author :
Kenne, P.E. ; O´Kane, Mary
Author_Institution :
Adelaide Univ., SA, Australia
Abstract :
The idea of using multiple speech recognizers and alternate language models in a spoken language task is a familiar one. The problems which arise are deciding which language model(s) and/or recognizer(s) to use, or when to change language models. We use the idea of local perplexity of a corpus to determine when to change to an alternate language model and compare this strategy to a number of other strategies in the context of court interactions
Keywords :
law administration; linguistics; natural languages; speech processing; speech recognition; alternate language model; alternate language models; court interactions; hybrid language models; language models; local perplexity; multiple speech recognizers; spoken language task; spontaneous legal discourse; Australia; Automatic speech recognition; Context modeling; Error analysis; Law; Legal factors; Natural languages; Speech recognition; Switches; Testing;
Conference_Titel :
Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-3555-4
DOI :
10.1109/ICSLP.1996.607462