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Using a Spoken Dialogue System for Crowdsourcing Street-level Geographic Information
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-7412-0967
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-2600-7668
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-8579-1790
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0002-0397-6442
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present a novel scheme for enriching geographic database with street-level geographic information that could be useful for pedestrian navigation. A spoken dialogue system for crowdsourcing street-level geographic details was developed and tested in an in-lab experimentation, and has shown promising results.

Place, publisher, year, edition, pages
2014.
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-158178OAI: oai:DiVA.org:kth-158178DiVA: diva2:774964
Conference
2nd Workshop on Action, Perception and Language, SLTC 2014
Note

QC 20150410

Available from: 2014-12-30 Created: 2014-12-30 Last updated: 2015-04-10Bibliographically approved

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Authority records BETA

Meena, RaveeshBoye, JohanSkantze, GabrielGustafson, Joakim

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Meena, RaveeshBoye, JohanSkantze, GabrielGustafson, Joakim
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  • apa
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  • ieee
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Language
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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