Music plagiarism detection using melody databases

Jeong Il Park, Sang Wook Kim, Miyoung Shin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper addresses the development of a system that detects plagiarism based on similar melody searching. Similar melody searching is to find the melodies similar to a given query melody from a music database. For this purpose, we propose a novel similarity model that supports alignment as well as shifting. Also, we suggest a method for indexing the features extracted from every melody, and a method for processing plagiarism detection by using the index. With our plagiarism detection system, composers can easily search for the melodies similar to their ones from music databases. Through performance evaluation via a series of experiments, we show the effectiveness of our approach. The results reveal that our approach outperforms the sequential-scan-based one in speed up to around 31 times.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
PublisherSpringer Verlag
Pages684-693
Number of pages10
ISBN (Print)3540288961, 9783540288961
DOIs
StatePublished - 2005
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
Duration: 14 Sep 200516 Sep 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3683 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
Country/TerritoryAustralia
CityMelbourne
Period14/09/0516/09/05

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