Intelligence without representation
Artificial Intelligence
An architecture for more realistic conversational systems
Proceedings of the 6th international conference on Intelligent user interfaces
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Towards human-like spoken dialogue systems
Speech Communication
A general, abstract model of incremental dialogue processing
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Incremental parsing with reference interaction
IncrementParsing '04 Proceedings of the Workshop on Incremental Parsing: Bringing Engineering and Cognition Together
Optimizing endpointing thresholds using dialogue features in a spoken dialogue system
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
A general, abstract model of incremental dialogue processing
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Towards natural language understanding of partial speech recognition results in dialogue systems
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
RUBISC: a robust unification-based incremental semantic chunker
SRSL '09 Proceedings of the 2nd Workshop on Semantic Representation of Spoken Language
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Split utterances in dialogue: a corpus study
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Eliciting interactional phenomena in human-human dialogues
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Attention and interaction control in a human-human-computer dialogue setting
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Interpretation of partial utterances in virtual human dialogue systems
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
Importance-Driven Turn-Bidding for spoken dialogue systems
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Uncertainty in Spoken Dialogue Management
Proceedings of the 2010 conference on Human Language Technologies -- The Baltic Perspective: Proceedings of the Fourth International Conference Baltic HLT 2010
Towards incremental speech generation in dialogue systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Comparing local and sequential models for statistical incremental natural language understanding
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Incremental semantic construction in a dialogue system
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
Multiparty turn taking in situated dialog: study, lessons, and directions
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Stability and accuracy in incremental speech recognition
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Voice typing: a new speech interaction model for dictation on touchscreen devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Towards incremental speech generation in conversational systems
Computer Speech and Language
SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
Incremental spoken dialogue systems: tools and data
SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
SDCTD '12 NAACL-HLT Workshop on Future Directions and Needs in the Spoken Dialog Community: Tools and Data
INPRO_iSS: a component for just-in-time incremental speech synthesis
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Optimising incremental generation for spoken dialogue systems: reducing the need for fillers
INLG '12 Proceedings of the Seventh International Natural Language Generation Conference
Enhancing referential success by tracking hearer gaze
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A temporal simulator for developing turn-taking methods for spoken dialogue systems
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Integrating incremental speech recognition and POMDP-based dialogue systems
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Gaze and turn-taking behavior in casual conversational interactions
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on interaction with smart objects, Special section on eye gaze and conversation
Situated incremental natural language understanding using Markov Logic Networks
Computer Speech and Language
Spoken language processing: where do we go from here?
Your Virtual Butler
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This paper describes a fully incremental dialogue system that can engage in dialogues in a simple domain, number dictation. Because it uses incremental speech recognition and prosodic analysis, the system can give rapid feedback as the user is speaking, with a very short latency of around 200ms. Because it uses incremental speech synthesis and self-monitoring, the system can react to feedback from the user as the system is speaking. A comparative evaluation shows that naïve users preferred this system over a non-incremental version, and that it was perceived as more human-like.