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KLASSIFICERING AV MUSIKALISK GENRE BASERATPÅ MELODISTÄMMAN
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

Den här rapporten ämnar undersöka vilket det huvudsakliga särdraget hos musikalisk genre är.En avgränsning har gjorts till hypotesen att enbart melodi är tillräckligt för att klassificera genre alltså tt melodi är det huvudsakliga särdraget hos musikalisk genre. En kvantitativ metod har använts i form av en internetbaserad tjänst där användare har fått klassificera genre på musikstycken i sin helhet, samma musikstycken med extraherad sång samt samma musikstycken representerade i syntetiserade versioner vilket representerar melodierna för musikstyckena. Statistiska metoder har sedan använts för att presentera den insamlade datan,för att efter analys komma fram till att melodi ej är tillräckligt för att klassificera genre och alltsåatt melodi ej är det huvudsakliga särdraget hos musikalisk genre.

Abstract [en]

This thesis aims to investigate the main deterministic feature of musical genre. A delimitation has been made to the hypothesis that solely melody is sufficient to determine musical genre; i.e.that melodi is the main deterministic feature of musical genre. A qualitative method has beenused in form of an internet based service where users were asked to determine genre on wholemusical piece, the same musical pieces with the lead song extracted as well as the samemusical pieces represented as synthesized versions whichrepresents the melodies of themusical pieces. Statistical methods were used in order to present the gathered data, and after data analysis a conclusion was conducted that melody is not sufficient in order to determine genre, which means that melody is not the main deterministic feature of musical genre.

Place, publisher, year, edition, pages
2014.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-157157OAI: oai:DiVA.org:kth-157157DiVA, id: diva2:769454
Examiners
Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2018-01-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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
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