EAN: 9783836691130

ROBUST PROCESSING OF SPOKEN SITUATED DIALOGUE -...

Recent years have witnessed a surge of interest for service robots endowed with communicative
abilities. Such robots could take care of routine tasks  in homes  offices  schools or
hospitals  help disabled or mentally impaired persons  serve as social companions for the
elderly  or simply entertain us. They would assist us in our daily life activities. These
robots are  by definition  meant to be deployed in social environments  and their capacity to
interact naturally with humans is thus a crucial factor. The development of such talking robots
led to the emergence of a new research field  Human-Robot Interaction (HRI)  which draws from a
wide range of scientific disciplines such as artificial intelligence  robotics  linguistics and
cognitive science. This work focuses on the issue of robust speech understanding - that is  how
to process spoken dialogue automatically to extract the intended meaning. The book presents a
new approach which combines linguistic resources with statistical techniques and
context-sensitive interpretation to achieve both deep and robust spoken dialogue comprehension.
The first part of the book provides a general introduction to the field of human-robot
interaction and details the major linguistic properties of spoken dialogue  as well as some
grammatical formalisms used to analyse them. The second part describes the approach itself 
devoting one chapter to context-sensitive speech recognition for HRI  and one chapter to the
robust parsing of spoken inputs via grammar relaxation and statistical parse selection. All the
algorithms presented are fully implemented  and integrated as part of a distributed cognitive
architecture for autonomous robots. A complete evaluation of our approach using Wizard-of-Oz
experiments is also provided in this book. The results demonstrate very significant
improvements in accuracy and robustness compared to the baseline.

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