Sixth International Conference on Spoken Language Processing (ICSLP 2000)

Beijing, China
October 16-20, 2000

Language Modeling for Dialog System

Wei Xu, Alex Rudnicky

School of Compueter Science, Carnegie Mellon University, Pittsburgh, PA, USA

Language modeling for speech recognizer in dialog systems can take two forms. Human input can be constrained through a directed dialog, allowing the decoder to use a state-specific language model to improve recognition accuracy. Mixedinitiative systems allow for human input that while domainspecific might not be state-specific. Nevertheless, for the most part human input to a mixed-initiative system is predictable, particularly when given information about the immediately preceding system prompt. The work reported in this paper addresses the problem of balancing state-specific and general language modeling in a mixed-initiative dialog system. By incorporating dialog state adaptation of the language model, we have reduced the recognition error rate by 11.5%.


Full Paper

Bibliographic reference.  Xu, Wei / Rudnicky, Alex (2000): "Language modeling for dialog system", In ICSLP-2000, vol.1, 118-121.