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COLING
2008

Towards Incremental End-of-Utterance Detection in Dialogue Systems

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Towards Incremental End-of-Utterance Detection in Dialogue Systems
We define the task of incremental or 0lag utterance segmentation, that is, the task of segmenting an ongoing speech recognition stream into utterance units, and present first results. We use a combination of hidden event language model, features from an incremental parser, and acoustic / prosodic features to train classifiers on real-world conversational data (from the Switchboard corpus). The best classifiers reach an F-score of around 56%, improving over baseline and related work.
Michaela Atterer, Timo Baumann, David Schlangen
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where COLING
Authors Michaela Atterer, Timo Baumann, David Schlangen
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