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Human Recognition of Swedish Dialects
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.ORCID iD: 0000-0003-1399-6604
Lund universitet.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Music Acoustics.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH, Speech Communication and Technology.
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2008 (English)In: Proceedings of Fonetik 2008: The XXIst Swedish Phonetics Conference / [ed] Anders Eriksson, Jonas Lindh, Göteborg: Göteborgs universitet , 2008, 61-64 p.Conference paper, Published paper (Other academic)
Abstract [en]

Our recent work within the research projectSIMULEKT (Simulating Intonational Varieties of Swedish) involves a pilot perceptiontest, used for detecting tendencies in humanclustering of Swedish dialects. 30 Swedishlisteners were asked to identify the geographical origin of 72 Swedish native speakers by clicking on a map of Sweden. Resultsindicate for example that listeners from thesouth of Sweden are generally better at recognizing some major Swedish dialects thanlisteners from the central part of Sweden.

Place, publisher, year, edition, pages
Göteborg: Göteborgs universitet , 2008. 61-64 p.
National Category
Computer Science Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:kth:diva-52077ISBN: 978-91-977196-0- (print)OAI: oai:DiVA.org:kth-52077DiVA: diva2:465371
Conference
Fonetik 2008, June 11-13, 2008, Gothenburg
Note
tmh_import_11_12_14. QC 20111222Available from: 2011-12-14 Created: 2011-12-14 Last updated: 2011-12-22Bibliographically approved

Open Access in DiVA

No full text

Other links

http://project2.sol.lu.se/simulekt/downloads/humanRecFon08.pdf

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Beskow, Jonas

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CiteExportLink to record
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  • apa
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  • ieee
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More styles
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  • de-DE
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Output format
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