Skip to main content
Language Modeling for Dialog System
Computer Science Department
  • Wei Xu, Carnegie Mellon University
  • Alexander I Rudnicky, Carnegie Mellon University
Date of Original Version
Conference Proceeding
Abstract or Description
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. Byincorporating dialog state adaptation of the language model, we have reduced the recognition error rate by 11.5%
Citation Information
Wei Xu and Alexander I Rudnicky. "Language Modeling for Dialog System" (2000)
Available at: