Spoken language recognition and understanding
Victor W. Zue, Lynette Hirschman · 1992
The goal of this research is to demonstrate spoken language systems in support of interactive problem solving. The system accepts continuous speech input and handles multiple speakers without explicit speaker enrollment. The MIT spoken language system combines SUMMIT, a segment-based speech recognition system, and TINA, a probabilistic natural language system, to achieve speech understanding. The system engages in interactive dialogue with the user, providing output in the form of tabular displays, as well as spoken and written output. The system has been demonstrated on several applications, including travel planning and direction assistance.