An architecture for more realistic conversational systems
Proceedings of the 6th international conference on Intelligent user interfaces
Incremental sentence generation: implications for the structure of a syntactic processor
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
EXPROS: A Toolkit for Exploratory Experimentation with Prosody in Customized Diphone Voices
PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
Embodied conversational agents in computer assisted language learning
Speech Communication
Incremental dialogue processing in a micro-domain
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Optimizing endpointing thresholds using dialogue features in a spoken dialogue system
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Speaking without knowing what to say…or when to end
SIGdial '08 Proceedings of the 9th SIGdial Workshop 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
Turn-yielding cues in task-oriented dialogue
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th 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
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This paper presents a model of incremental speech generation in practical conversational systems. The model allows a conversational system to incrementally interpret spoken input, while simultaneously planning, realising and self-monitoring the system response. If these processes are time consuming and result in a response delay, the system can automatically produce hesitations to retain the floor. While speaking, the system utilises hidden and overt self-corrections to accommodate revisions in the system. The model has been implemented in a general dialogue system framework. Using this framework, we have implemented a conversational game application. A Wizard-of-Oz experiment is presented, where the automatic speech recognizer is replaced by a Wizard who transcribes the spoken input. In this setting, the incremental model allows the system to start speaking while the user's utterance is being transcribed. In comparison to a non-incremental version of the same system, the incremental version has a shorter response time and is perceived as more efficient by the users.