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Pitch Detection Algorithms and their application on tom drums
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2019 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Pitch detection is of great value within the audio industry and is defined as the perceived height of sound. In this paper, the challenging task of determining pitch of tom drums is presented, known to have an indefinite pitch. The aim of the study is to explore the possibility of determining their pitch.

The thesis is divided into three phases, to further improve our knowledge on the pitch of tom drums. The first phase concludes previous work on pitch detection algorithms with regards to tom drums. The second phase concludes a user study which tasks the test subjects to estimate the pitch of different tom drums. The results of the two first phases are concluded and further analyzed in the third phase where we improve upon the Normalized Square Difference method to match the results of the user study.

The final algorithm uses an average peak amplitude algorithm with a base in NSDF, it shows a 93% match towards the data set, however to guarantee this result outside the data set further qualitative studies are required.

Place, publisher, year, edition, pages
2019. , p. 50
Series
UMNAD ; 1194
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-163961OAI: oai:DiVA.org:umu-163961DiVA, id: diva2:1359683
External cooperation
Toontrack Music AB
Subject / course
Examensarbete i Interaktionsteknik och design
Educational program
Master of science programme in interaction technology and design
Supervisors
Examiners
Available from: 2019-10-10 Created: 2019-10-10 Last updated: 2019-10-10Bibliographically 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
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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More languages
Output format
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