Interactive music summarization based on interval distance profile

Min Joon Yoo, In Kwon Lee

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)


This paper presents a simple algorithm that efficiently discovers and extracts repeating patterns in music. The algorithm can detect not only exact repeating patterns, but also partial and approximate patterns. The method is based on the time distance of two interval pairs that are similar and uses the accumulation of the distance for evidence of repeating patterns. Users can recognize repeating patterns as a volume of the accumulation of distance and choose them to summarize music. Our algorithm also can be used to analyze the structure of any arbitrary music because of its flexibility.

Original languageEnglish
Number of pages4
Publication statusPublished - 2007
EventInternational Computer Music Conference, ICMC 2007 - Copenhagen, Denmark
Duration: 2007 Aug 272007 Aug 31


OtherInternational Computer Music Conference, ICMC 2007

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Music


Dive into the research topics of 'Interactive music summarization based on interval distance profile'. Together they form a unique fingerprint.

Cite this