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.
Author: | Michaela Atterer, Timo BaumannORCiDGND, David Schlangen |
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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): |