University of Illinois Urbana-Champaign

Experiments with the Shazam music identification algorithm

Xiao, Fangjian Flora

Content Files
XIAO-THESIS-2019.pdf

Permalink

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
Date of Ingest
2019-08-23T19:51:22Z
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.
Graduation Semester
2019-05
Type of Resource
text
Permalink
http://hdl.handle.net/2142/104731
Copyright and License Information
Copyright 2019 Fangjian Xiao

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