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Towards Incremental End-of-Utterance Detection in Dialogue Systems

  • We define the task of incremental or 0-lag 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.

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Metadaten
Author:Michaela Atterer, Timo BaumannORCiDGND, David Schlangen
URL / DOI:https://www.researchgate.net/publication/221101778_Towards_Incremental_End-of-Utterance_Detection_in_Dialogue_Systems
ISBN:978-1-905593-44-6
Parent Title (English):COLING '08: Proceedings of the 22nd International Conference on Computational Linguistics, Manchester United Kingdom August 18 - 22, 2008
Publisher:Association for Computational Linguistics
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2008
Release Date:2023/07/25
First Page:11
Last Page:14
Institutes:Fakultät Informatik und Mathematik
Publication:Externe Publikationen
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG