Experiments with the Shazam music identification algorithm
Xiao, Fangjian Flora
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https://hdl.handle.net/2142/104731
Description
Title
Experiments with the Shazam music identification algorithm
Author(s)
Xiao, Fangjian Flora
Issue Date
2018-12-18
Director of Research (if dissertation) or Advisor (if thesis)
Fleck, Margaret M.
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
music
recognition
Abstract
The motivation of this study is to identify music without the original recording. The existing solutions tackle variations in some properties such as background sound and white noise, but the identification of samples containing large variations in key, tempo, ornamentation, and harmonization remains largely unsolved.
This study takes an existing algorithm and uses an existing data set to explore the parameters required for successful identification, as well as variations in key. The findings show a simple way to identify and normalize the key of a sample. Future work will tackle tempo and ornamentation challenges.
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