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Title:Experiments with the Shazam music identification algorithm
Author(s):Xiao, Fangjian Flora
Advisor(s):Fleck, Margaret M.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(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.
Issue Date:2018-12-18
Type:Text
URI:http://hdl.handle.net/2142/104731
Rights Information:Copyright 2019 Fangjian Xiao
Date Available in IDEALS:2019-08-23
Date Deposited:2019-05


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