On combining language models: oracle approach
HLT '01 Proceedings of the first international conference on Human language technology research
PCA-PMC: a novel use of a priori knowledge for fast parallel model combination
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
Confidence measures for dialogue management in the CU Communicator system
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
An agent-based approach to dialogue management in personal assistants
Proceedings of the 10th international conference on Intelligent user interfaces
A flexible framework for developing mixed-initiative dialog systems
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Partial information basis for agent-based collaborative dialogue
Applied Intelligence
Contrasting multi-lingual prosodic cues to predict verbal feedback for rapport
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
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This paper presents recent improvements in the development of the University of Colorado "CU Communicator" and "CU-Move" spoken dialog systems. First, we describe the CU Communicator system that integrates speech recognition, synthesis and natural language understanding technologies using the DARPA Hub Architecture. Users are able to converse with an automated travel agent over the phone to retrieve up-to-date travel information such as flight schedules, pricing, along with hotel and rental car availability. The CU Communicator has been under development since April of 1999 and represents our test-bed system for developing robust human-computer interactions where reusability and dialogue system portability serve as two main goals of our work. Next, we describe our more recent work on the CU Move dialog system for in-vehicle route planning and guidance. This work is in joint collaboration with HRL and is sponsored as part of the DARPA Communicator program. Specifically, we will provide an overview of the task, describe the data collection environment for in-vehicle systems development, and describe our initial dialog system constructed for route planning.