From Speech Recognition to Spoken Language Understanding: The Development of the MIT SUMMIT and VOYAGER Systems
Abstract
Spoken language is one of the most natural, efficient, flexible, and econom(cid:173) ical means of communication among humans. As computers play an ever increasing role in our lives, it is important that we address the issue of providing a graceful human-machine interface through spoken language. In this paper, we will describe our recent efforts in moving beyond the scope of speech recognition into the realm of spoken-language understand(cid:173) ing. Specifically, we report on the development of an urban navigation and exploration system called VOYAGER, an application which we have used as a basis for performing research in spoken-language understanding.
Cite
Text
Zue et al. "From Speech Recognition to Spoken Language Understanding: The Development of the MIT SUMMIT and VOYAGER Systems." Neural Information Processing Systems, 1990.Markdown
[Zue et al. "From Speech Recognition to Spoken Language Understanding: The Development of the MIT SUMMIT and VOYAGER Systems." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/zue1990neurips-speech/)BibTeX
@inproceedings{zue1990neurips-speech,
title = {{From Speech Recognition to Spoken Language Understanding: The Development of the MIT SUMMIT and VOYAGER Systems}},
author = {Zue, Victor and Glass, James and Goodine, David and Hirschman, Lynette and Leung, Hong and Phillips, Michael and Polifroni, Joseph and Seneff, Stephanie},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {255-261},
url = {https://mlanthology.org/neurips/1990/zue1990neurips-speech/}
}