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English

A Scalable Architecture For Web Deployment of Spoken Dialogue Systems

Published inProceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12), Editors Nicoletta Calzolari and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis, p. 1309-1314
Presented at Istanbul (Turkey), 23-25 May 2012
Publication date2012
Abstract

We describe a scalable architecture, particularly well-suited to cloud-based computing, which can be used for Web-deployment of spoken dialogue systems. In common with similar platforms, like WAMI and the Nuance Mobile Developer Platform, we use a client/server approach in which speech recognition is carried out on the server side; our architecture, however, differs from these systems in offering considerably more elaborate server-side functionality, based on large-scale grammar-based language processing and generic dialogue management. We describe two substantial applications, built using our framework, which we argue would have been hard to construct in WAMI or NMDP. Finally, we present a series of evaluations carried out using CALL-SLT, a speech translation game, where we contrast performance in Web and desktop versions. Task Error Rate in the Web version is only slightly inferior that in the desktop one, and the average additional latency is under half a second. The software is generally available for research purposes.

Keywords
  • Speech recognition
  • Web
  • Evaluation
  • CALL
Research group
Citation (ISO format)
FUCHS, Matthew, TSOURAKIS, Nikolaos, RAYNER, Emmanuel. A Scalable Architecture For Web Deployment of Spoken Dialogue Systems. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC′12). Istanbul (Turkey). [s.l.] : [s.n.], 2012. p. 1309–1314.
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Proceedings chapter (Accepted version)
accessLevelPublic
Identifiers
  • PID : unige:30962
ISBN978-2-9517408-7-7
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