Paper: Geo-Centric Language Models for Local Business Voice Search

ACL ID N09-1044
Title Geo-Centric Language Models for Local Business Voice Search
Venue Human Language Technologies
Session Main Conference
Year 2009

Voice search is increasingly popular, espe- cially for local business directory assistance. However, speech recognition accuracy on business listing names is still low, leading to user frustration. In this paper, we present a new algorithm for geo-centric language model generation for local business voice search for mobile users. Our algorithm has several ad- vantages: it provides a language model for any user in any location; the geographic area covered by the language model is adapted to the local business density, giving high recog- nition accuracy; and the language models can be pre-compiled, giving fast recognition time. In an experiment using spoken business list- ing name queries from a business directory assistance service, we achieve a 16.8% abso- lute improvement in recognition a...