Fourth European Conference on Speech Communication and Technology

Madrid, Spain
September 18-21, 1995

Integrating Natural Language Into the Word Graph Search for Simultaneous Speech Recognition and Understanding

Stephanie Seneff, Michael McCandless, Victor Zue

Spoken Language Systems Group, Laboratory for Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA

This paper describes work aimed towards replacing traditional N-gram language models in a recognizer with a more linguistically motivated language model. We report on experiments involving an A* search through a large word graph of candidate hypotheses, within the ARPA ATIS domain. We show that the TINA natural language system, when properly trained, can compete favorably with a traditional word class 4-gram language model, both in terms of raw recognition performance and overall understanding ability.

Full Paper

Bibliographic reference.  Seneff, Stephanie / McCandless, Michael / Zue, Victor (1995): "Integrating natural language into the word graph search for simultaneous speech recognition and understanding", In EUROSPEECH-1995, 1781-1784.