Paper: Spontaneous Speech Understanding For Robust Multi-Modal Human-Robot Communication

ACL ID P06-2051
Title Spontaneous Speech Understanding For Robust Multi-Modal Human-Robot Communication
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

This paper presents a speech understand- ing component for enabling robust situated human-robot communication. The aim is to gain semantic interpretations of utter- ances that serve as a basis for multi-modal dialog management also in cases where the recognized word-stream is not gram- matically correct. For the understand- ing process, we designed semantic pro- cessable units, which are adapted to the domain of situated communication. Our framework supports the speci c character- istics of spontaneous speech used in com- bination with gestures in a real world sce- nario. It also provides information about the dialog acts. Finally, we present a pro- cessing mechanism using these concept structures to generate the most likely se- mantic interpretation of the utterances and to evaluate the i...