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THE WRYLIE-BOARD: MAPPING ACOUSTIC SPACE OF EXPRESSIVE FEEDBACK TO ATTITUDE MARKERS
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-1175-840X
KTH.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-0397-6442
2018 (English)In: Proc. IEEE Spoken Language Technology conference, 2018Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2018.
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Engineering and Technology
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URN: urn:nbn:se:kth:diva-261687OAI: oai:DiVA.org:kth-261687DiVA, id: diva2:1359749
Conference
IEEE Spoken Language Technology conference
Note

QC 20191011

Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2022-06-26Bibliographically approved

Open Access in DiVA

fulltext(376 kB)163 downloads
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File name FULLTEXT01.pdfFile size 376 kBChecksum SHA-512
9755f1ae5053d4d219ecda5e6ad9cac1bfc96c2c1debb805aec5a6b27bfb590a31b059b34c8b05f6ff23e82cda74f44384bb74c6f25f5b365e76312f8ef4cc12
Type fulltextMimetype application/pdf

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Székely, ÉvaWagner, PetraGustafson, Joakim
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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