Squibs and discussions: human variation and lexical choice
Computational Linguistics - Summarization
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
A Speech Parameter Generation Algorithm Considering Global Variance for HMM-Based Speech Synthesis
IEICE - Transactions on Information and Systems
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
Reactive redundancy and listener comprehension in direction-giving
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Individual and domain adaptation in sentence planning for dialogue
Journal of Artificial Intelligence Research
Contribution tracking: participating in task-oriented dialogue under uncertainty
Contribution tracking: participating in task-oriented dialogue under uncertainty
Towards incremental speech generation in dialogue systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Middleware for incremental processing in conversational agents
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Towards conversational agents that attend to and adapt to communicative user feedback
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
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
Situated incremental natural language understanding using Markov Logic Networks
Computer Speech and Language
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Participants in a conversation are normally receptive to their surroundings and their interlocutors, even while they are speaking and can, if necessary, adapt their ongoing utterance. Typical dialogue systems are not receptive and cannot adapt while uttering. We present combinable components for incremental natural language generation and incremental speech synthesis and demonstrate the flexibility they can achieve with an example system that adapts to a listener's acoustic understanding problems by pausing, repeating and possibly rephrasing problematic parts of an utterance. In an evaluation, this system was rated as significantly more natural than two systems representing the current state of the art that either ignore the interrupting event or just pause; it also has a lower response time.