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Automatic determination of major vocal types using support vector machnies
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2013 (English)In: Proceedings of Umeå's 16th student conference in computing science: USCCS 2013 / [ed] Suna Bensch & Frank Drewes, Umeå: Umeå universitet , 2013, 39-60 p.Conference paper, Published paper (Other academic)
Abstract [en]

This paper discusses the classification of basic vocal typesfor northern Swedish voices. The classification is carried out by use ofsupport vector machines. The paper aims to identify the important fea-tures of voice signal for classification. The paper also presents the resultsof applying the selected features in classification performance. Finally,those features that outperform others in classification are introduced.

Place, publisher, year, edition, pages
Umeå: Umeå universitet , 2013. 39-60 p.
Series
UMINF, ISSN 0348-0542 ; 13.01
National Category
Language Technology (Computational Linguistics) Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-71509OAI: oai:DiVA.org:umu-71509DiVA: diva2:624470
Conference
Umeå's 16th student conference in computing science (USCCS 2013), 2nd of January 2013, Umeå
Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2013-05-31Bibliographically approved

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CiteExportLink to record
Permanent link

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